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About Prediction Impact ", " expertise predictive analytics data mining based san francisco, california, prediction impact, inc. network independent consultants partner firms expertise over range disciplines, including predictive analytics, data mining, customer intelligence, text mining, system integration, web site design optimization. eric siegel, ph.d., president. eric siegel expert data mining predictive analytics, award-winning teacher graduate-level courses areas. eric served computer science professor columbia university, where he forwarded data mining te chnology realms machine learning performance optimization, text mining, data visualization. eric co-founded two new york city-based software companies customer/user profiling data mining. data mining, eric solved problems computer security, fraud detection, computational linguistics information retrieval. he provides analytics services marketing strategy medium through fortune 100 companies. resume home page columbia university karl rexer, ph.d., consulting advisor marketing analytics karl rexer broad experience analytic consulting includes predictive modeling, statistics, data mining, direct marketing, crm, market research. he provided analytic solutions corporate, academic, military clients since 1990. karl's corporate experience includes retail, airline, insurance, technology, financial services. karl held leadership consulting positions several consulting firms two multi-national banks. he improves direct marketing loy alty programs focusing customer segmentation targeting strategies. more information karl found www.rexeranalytics.com. nick haddock, ph.d., consulting advisor text mining nick haddock expert text linguistic processing who helped numerous companies extract business value unstructured data residing reports, emails, web sites, content, specific focus market intelligence financial services applications. nick over 14 years experience advanced technology research marketing world-leading business organizations. formerly research manager hewlett-packard laboratories, he led development new tech nologies solutions search, information filtering extraction, content analysis, speech natural language processing, user interface design. nick ph.d. natural language processing university edinburgh, holds several patents language technology. more information nick found www.nickhaddock.com. eleazar eskin, ph.d., consulting advisor data mining eleazar eskin assistant professor university california, san diego, advancing application data mining bioinformatics computational biology. deep innovator data mining predictive modeling algorithms, eleazar consulted corporations nationally held residencies research laboratories internationally. eleazar's ph.d., columbia university, high-dimensional analytics techniques. he applied these techniques text mining, computational biol ogy, internet security. eleazar co-founded three companies new york city. more information eleazar found http://www.cse.ucsd.edu/~eeskin/. alexander d. chaffee, consulting advisor system integration alex chaffee innovator, practitioner teacher extreme programming, been advancing java programming language since its inception, co-creating gamelan (www.gamelan.com), official directory java community. alex manages servlets, ejb threads faq lists jguru (www.jguru.com), java developer community site. alex published research papers machin e learning optimization scientific topics. more information alex found www.purpletech.com. partner firms emetrics summit. optimize online marketing value: marketing managers, web analysts business intelligence experts have been meeting emetrics summit since 2002 learn how increase return online investments. it's your turn join discussion. elder research, inc. been data mining consulting firm since 1995. eri known especially investment models, successes credit scoring, fraud detection, commercial medical applications. addition providing client services, eri researchers teach well-regarded courses, review dm software, publish innovative analysis tools techniques. hbs consulting professional services firm assisting fortune 500 companies create competitive advantage build strategic competencies. hbs specializes planning execution strategic projects innovative results: organizational transformation, adoption new technologies, governance, business process management. hbs consultants bring senior management perspective every project, wor king most cases advisor cxos directors large enterprises. soundprinciples accomplished marketing consultancy specializing branding, messaging positioning. their expertise creates marketing strategies compel customers purchase. introducing marketing expertise directly incorporating creative branding prediction impact's crm analytics, predictive models based your customer data are leveraged significant increase marketing force pos itive outcome. zen digital delivers full range new media digital business services, providing best breed solutions multi-media integration, cross-platform integration, web browser-based technologies. these services enable seemless deployment predictive models over disparate systems, well deep integration creative design. zen digital's staff have extensive skill area java-based systems, i ncluding j2ee & j2me, agile programming, linux based solutions, macromedia flash technologies. ittoolbox. ittoolbox online community professionals who share practical information topics. community enables anyone access collective knowledge worldwide audience experienced professionals. doing so, ittoolbox satisfies need practical timely information infinite number possible challenges complex rapidly changing field information technology. ", " Expertise in Predictive Analytics and Data Mining Based in San Francisco, California, Prediction Impact, Inc. has a network of independent consultants and partner firms with expertise over a range of disciplines, including predictive analytics, data mining, customer intelligence, text mining, system integration, and web site design and optimization. Eric Siegel, Ph.D., President. Eric Siegel is an expert in data mining and predictive analytics, and an award-winning teach...")
add(" Training Programs for Data Mining and Predictive Analytics ", " what does your organization need become fully prepared mine your data? would you benefit general understanding data mining predictive analytics you determine how best apply it? does your marketing staff need more hands-on knowledge? predictive analytics training, san francisco & washington dc, sept. & oct..a concentrated training seminar data mining predictive analytics business, marketing web includes interactive breakout sessions. prediction impact offers diverse range on-site training options data mining predictive analytics. we tailor your training program according your background needs. training session adjusted these ways: short (4 hours), long (3 days). hands-on, manager-level. specific one data mining product, general. on-site, "webinar" based. for inquiries, price quotes, scheduling training program topic outline, email training@predictionimpact.com call us (415) 385 - 1313. you may email address request notifications future scheduled public training sessions. addition, see prediction impact's next scheduled public training program. sample training program: introduction data mining business intelligence learn data mining methodology needed managers practitioners alike conduct successful business analytics initiatives. first we'll uncover, concrete terms, how modeling transforms your data actionable customer predictions guide marketing sales operations. end, we'll see exactly what model is, taking look inside see how works how created. we'll explore business process which analysts managers collaborate ensure resulting busines s intelligence strong business impact. we delve into decision trees tutorial's central example modeling software, although methodology covered general. learn discover "marketing imperatives" your data. applications include business intelligence web analytics, well countless problems science engineering. about instructor. learn more instructor, eric siegel, ph.d., click here. ", " What does your organization need to become fully prepared to mine your data? Would you benefit from a general understanding of data mining and predictive analytics so you can determine how to best apply it? Does your IT or marketing staff need more hands-on knowledge? Predictive Analytics Training, San Francisco & Washington DC, Sept. & Oct..A concentrated training seminar on data mining and predictive analytics for business, marketing and web that includes interactive brea...")
add(" Contact Information ", " prediction impact, inc. based san francisco, california, but we travel. contact us brief, exploratory conversation. we'll glad make data mining crystal clear you. email training:training@predictionimpact.com technical inquiries:eric siegel, ph.d., president senior consultant post prediction impact, inc. 1318a natoma st. san francisco, ca 94103 phone (415) 385 - 1313 newsletter for articles, case studies training seminar schedules, subscribe our bi-annual email newsletter. ", " Prediction Impact, Inc. is based in San Francisco, California, but we travel. Contact us for a brief, exploratory conversation. We'll be glad to make data mining crystal clear to you. Email Training:training@predictionimpact.com Technical inquiries:Eric Siegel, Ph.D., President and Senior Consultant Post Prediction Impact, Inc. 1318A Natoma St. San Francisco, CA 94103 Phone (415) 385 - 1313 ...")
add(" Predictive Analytics Article ", " analytics + business expertise =actionable predictions customer by eric siegel, ph. d. predictive analytics offers something completely different standard business reporting sales forecasting: actionable predictions customer. special form business modeling foresees customer purchase, response cancellation, predicting individual behavior existing prospective customer under certain conditions. naturally, per-customer predictions are key allocating marketing sales resources. example, predicting which product features cust omer respond to, you target customer accordingly. however, per-customer prediction can't work without healthy injection your business expertise. generate customer predictions have business impact, predictive analytics requires wholly collaborative process driven business needs marketing insight. means you need meet your analytics folks few times week. stands contrast data-intensive initiatives, deploying data warehouse olap solution, which, once defined, handed off revisited later receive results. with analytics run business activity, you guide process towards actionable predictions. example, your input help determine precisely which customer actions predict, how these predictions used. ensures results are actionable within your company's operational framework, they have greatest impact within your company's business model. there are three steps where business expertise needed direct predictive analytics: defining your prediction goal; evaluating prediction results redirecting; deploying your prediction model. 1. define your prediction goal business analytics experts must collaboratively define prediction goal. although there are many aspects customer behavior predicted analytics, only fraction business-actionable. takes expert your business know which predicted behaviors have business value. likewise, conceivable prediction goals are limited only imagination your marketing staff, only fraction achieved analytics. each customer prediction goal must defined great degree detail, example: response: which customers respond certain brochure mailing within 13 business days purchase value $125 after shipping? repeat customers: which first-time customers make five more additional purchases totaling least $1,250 within six months? cross-sell upsell: which customers purchase product c d, given purchase b, within four months, given mail solicitation? attrition: which customers more than four months decrease their monthly usage 80 percent next three months, marketing contact made? 2. evaluate prediction results redirect your business expertise needed choose between certain pragmatic trade-offs prediction capability. generally, predictive analytics provides range customer segments varying prediction performance which you select. example, you may need choose between group 100,000 customers four times greater likelihood making purchase than average, versus group twice large only three times likelihood. these kinds trade-offs examined term s profit, market penetration, measure loyalty like one-year customer value. in some cases prediction results are not strong enough, requiring defined prediction goal altered, under business supervision. example, may discovered targeted customer behavior not occurred frequently enough historically train prediction model (e.g., customers very rarely up-sell product product b). in cases prediction results reveal errors misguided business assumptions. example, even when attrition prediction successful, may then become clear business side predictions must made two months earlier actionable. certain data problems are discovered only after initial prediction models are generated. these include misunderstood variable meanings, heavy reliance expensive data sources, accidental biases data sampling, mundane data errors requir e data cleansing process. in best cases unexpected results inspire collaborative definition new prediction goals. sometimes, variables prove important prediction come surprise, inspiring addition related data sources. 3. deploy your prediction model how customer predictions are used part business operations up your marketing creativity business philosophy. example, repeat customers are predicted, marketing resources could directed toward non-repeaters improve their value, toward repeaters leverage their existing value. predictions trigger targeted market campaigns guide sales activities, personalized up-sales efforts unsolicited touch points. with business expertise directing step, your analytics process produce actionable predictions customer business impact. to learn what predictive model looks like how created, see article, "predictive analytics data mining: how works." about author eric siegel, ph.d., cofounder senior consultant san francisco-based prediction impact, providing analytics training services medium through fortune 100 companies. he expert data mining predictive analytics award-winning teacher graduate-level courses areas. siegel served computer science professor http://www.cs.columbia.edu/ columbia university, where he forwarded data mining technology realms machine learning performance optimization, text mining data visualization. he cofounded two new york city-based software companies customer/user profiling data mining. data mining, eric solved problems computer security, fraud detection, computational linguistics information retrieval. you reach him eric@predictionimpact.com (415) 385-1313. ", " Analytics + Business Expertise =Actionable Predictions for Each Customer by Eric Siegel, Ph. D. Predictive analytics offers something completely different from standard business reporting and sales forecasting: actionable predictions for each customer. This special form of business modeling foresees each customer purchase, response or cancellation, predicting the individual behavior of each existing or prospective customer under certain conditions. Naturally, per-customer pred...")
add(" Special Offer: Risk-free Profiling and Targeting with Data Mining ", " customer profiles keep your direct mail campaigns profitable. what you could make profiles better? more precise targeting would mean better response rates greater savings printing mailing costs. you can. data mining predictive modeling are designed create better response models build profiles you already use today. direct mailers are quickly discovering greater efficiency comes mined targeting. but acting still puts you ahead curve. try mined targeting, risk-free. limited time, prediction impact offering mined targeting zero risk qualified clients. you pay us only works your data. here's how: we apply advanced data mining predictive modeling over your data. the new model tested disruption your current operations. if results are beneficial your business: model employed guide your next mailing campaign. you pay prediction impact only fraction resulting savings printing mailing costs. contact us brief, exploratory conversation. we'll glad make mined targeting crystal clear you. [ our phd-level consultants ] [ how data mining work ] [ results you get data mining ] ", " Customer profiles keep your direct mail campaigns profitable. What if you could make those profiles better? More precise targeting would mean better response rates and greater savings in printing and mailing costs. You can. Data mining and predictive modeling are designed to create better response models that build on the profiles you already use today. Direct mailers are quickly discovering the greater efficiency that comes with mined targeting. But acting now still puts you ahead...")
add(" Predictive Analytics Transform Your Data to Customer Intelligence ", " if you predict it, you own it. data your most valuable asset. represents entire history your organization its interactions customers. predictive analytics taps rich vein experience, mining offer something completely different standard business reporting sales forecasting: actionable predictions customer. prediction impact's predictive analytics services direct target your crm strategy. our services employ predictive modeling derive customer intelligence -- strategic insights business imperatives consisting of: best-of-breed predictive models customer behavior prediction scores existing future customer advanced customer segmentation analysis at prediction impact, we work you uncover which predictive analytics most directly affect your bottom line. we show you how predictive modeling traditional crm customer segmentation techniques widely improved data mining tools. we hand-craft data mining process introduce customer intelligence your crm strategy, increasing your revenue protecting your profitability. service training programs. predictive analytics training, san francisco & washington dc, sept. & oct.: concentrated training seminar data mining predictive analytics business, marketing web includes interactive breakout sessions. on-site training programs: gain complete understanding data mining predictive analytics your personnel, your convenience. zero-risk: better targeting direct mail. improve response profiles data mining. prediction impact publications whitepapers. predictive analytics data mining: how works get handle functional value predictive analytics marketing, sales product direction. dm review's dm direct. eric siegel, ph.d. driven business expertise, analytics produces actionable predictions run data mining business activity generate customer predictions have business impact. crm magazine's destinationcrm. eric siegel, ph.d. predictive analytics' killer app: retaining new customers predictively targeted discounts convert new customers who would otherwise never return into loyal customers. dm review's extended edition. eric siegel, ph.d. predictive analytics: how works how deploy it this short presentation introduces defines predictive analytics, describes its range customer-facing applications, illustrates how customer prediction model works, guides you towards successful deployment plan (pdf file). [ how predictive analytics work ] [ results you get predictive analytics ] ", " If you predict it, you own it. Data is your most valuable asset. It represents the entire history of your organization and its interactions with customers. Predictive analytics taps this rich vein of experience, mining it to offer something completely different from standard business reporting and sales forecasting: actionable predictions for each customer. Prediction Impact's predictive analytics services direct and target your CRM strategy. Our services employ predictive modeling...")
add(" Predictive Analytics and Data Mining ", " prediction impact, inc. performed services training clients (2003-2006): amdocs bodog.com boeing cavalry investments central intelligence agency chugach alaska corporation copeland corporation corporate express dublin institute technology electronic arts fastweb freddie mac group 1 software knowledgebase marketing hewlett-packard hi5 networks internal revenue service inyobus kadium kpmg lucid ventures lyndon state college merck meta pharmaceutical services mitre corporation monster.com nasa kennedy space center pacific bell (now sbc internet services) packetmotion planetout qpass questbridge qwest radar networks salford systems san diego state university sanofi pasteur sas institute scitech strategies scotiabank simon fraser university us air force unica corporation university puerto rico university vermont yahoo! inc. service-based client engagements arranged through prediction impact, modeling agency, rexer analytics elder research. detailed list client engagements case studies available request. details, contact us. training sessions hosted prediction impact, columbia university, johns hopkins, modeling agency, salford systems. ", " Prediction Impact, Inc. has performed services and training for clients such as (2003-2006): Amdocs Bodog.com Boeing Cavalry Investments Central Intelligence Age...")
add(" TRAINING SEMINAR: Predictive Analytics ", " program: predictive analytics business, marketing web dates: sept. 20-21, 2007 oct. 18-19, 2007 locations: san francisco, ca (september) & washington, dc (october) instructor: eric siegel, ph.d. price: $1,395 early-bird registration 1 month ahead; $1,495 thereafter. san francisco venue: high-tech training center just minutes cable cars, chinatown, shopping museums, right next moscone convention center, only 15 miles san francisco international airport: ama's san francisco executive conference center on second level san francisco marriott hotel 55 fourth street san francisco, ca 94103 washington, dc venue: tbd -- october 18-19 training offered association (and less than one mile from) emetrics summit., following convenient, central location: hilton washington 1919 connecticut avenue nw washington, dc 20009 (202) 483-3000 training schedule: day 1: 9:00am - 5:00pm; day 2: 9:00am - 4:00pm. there one-hour lunch break two 20-minute coffee breaks day. registration payment instructions: course registration may secured credit card paypal payment selecting scheduled training option below. you receive email confirming your slot attend training seminar, well payment receipt. click here register san francisco, ca, sept. 20-21, 2007. click here register washington, dc, oct. 18-19, 2007. alternatively, you may register postal mail training program registration form. note: mail registrants must email training@predictionimpact.com secure reserved slot attend training seminar. cancellation policy. full refunds (less $35 transaction fee payments made online) available registration cancellations 30 days before training program. 50% registration fee returned cancellations between 4 29 days before training program. notice future sessions. you would like notified future scheduled training sessions, email training@predictionimpact.com. articles, case studies training seminar schedules (less frequent notifications), subscribe our bi-annual email newsletter. ", " Program: Predictive Analytics for Business, Marketing and Web Dates: Sept. 20-21, 2007 and Oct. 18-19, 2007 Locations: San Francisco, CA (September) & Washington, DC (October) Instructor: Eric Siegel, Ph.D. ...")
add(" TRAINING SEMINAR: Predictive Analytics ", " program: predictive analytics business, marketing web dates: sept. 20-21, 2007 oct. 18-19, 2007 locations: san francisco, ca (september) & washington, dc (october) instructor: eric siegel, ph.d. price: $1,395 early-bird registration 1 month ahead; $1,495 thereafter. sign up: click here register. what predictive analytics? business metrics do great job summarizing past. but you want predict how customers respond future, there one place turn - predictive analytics. learning your abundant historical data, predictive analytics provides marketer something beyond standard business reports sales forecasts: actionable predictions customer. these predictions encompass all channels, both online off, foreseeing which customers buy, click, respond, convert o r cancel. you predict it, you own it. the customer predictions generated predictive analytics deliver more relevant content customer, improving response rates, click rates, buying behavior, retention overall profit. online marketing, predictive analytics acts real-time, dynamically selecting ad, web content email visitor most likely click respond to, according visitor's profile. ab selection, rather than just ab testing. predictive analytics business, marketing web concentrated training program includes interactive breakout sessions. two days we cover: the techniques, tips pointers you need order run successful predictive analytics data mining initiative how strategically position tactically deploy predictive analytics data mining your company how bridge prevalent gap between technical understanding practical use how predictive model works, how it's created how much revenue generates no background statistics modeling required. only specific knowledge assumed training program moderate experience excel. who seminar for: managers. project leaders, directors, cxos, vice presidents, investors decision makers any kind involved analytics, direct marketing online marketing activities. marketers. personnel running supporting direct marketing, response modeling, online marketing who wish improve response rates increase campaign roi retention, upsell cross-sell. technology experts. analysts, bi directors, developers, dbas, data warehousers, web analysts, consultants who wish extend their expertise predictive analytics. in order meet unique training needs business decision makers practitioners, training program is: business-focused. unlike training programs cover scientific, engineering medical applications data mining analytics, seminar focuses squarely solving business marketing problems these methods. comprehensive across business needs. within realm, however, we step beyond standard application response modeling direct marketing solve wider range business problems listed below. vendor-neutral method-neutral. training program, which not affiliated any analytics software vendor, provides balanced view across analytics tools methods. topics covered: solving business problems predictive analytics predictive analytics solves many business problems, offering solutions as: increased customer retention predicting defection increased online conversions ad takes predicting clicks increased sales acquisition rates predicting cross-sell opportunities personalized web email content predicting online response greater relevancy predicting customer needs increased direct marketing response response modeling decreased campaign spending predicting non-responders increased fundraising profit predicting donations higher-valued acquisitions predicting customer lifetime value in words, customer prediction drives business actions, which deliver business results. we cover case studies across range applications, detailed examples running through both days training program. creating predictive models data your most valuable asset. represents entire history your organization its interactions customers. predictive analytics taps rich vein experience, mining produce predictive models. where multi-channel data available, predictive analytics discovers interactions across customer touch points, key online behavior may predict which customers respond direct mail. whatever application, core methodology predictive modeling same. we uncover, concrete terms, how modeling transforms your data into actionable customer predictions. end, we see exactly what model is, taking look inside see how works how created. then we will: explore several example models action turn knobs tweak control modeling compare contrast modeling methods, including: decision trees business rules naive bayes/bayesian analysis linear regression logistic regression neural networks other more recent advanced modeling techniques live demos predictive analytics software. we include detailed demonstrations general-purpose tool implements multiple predictive modeling methods, well cart (salford systems), tool specialized decision trees. its friendly gui-based capabilities make predictive model transparent we c drill down really see inner workings specific examples. in addition products demonstrated, we discuss full spectrum today's predictive analytics software, including free tools, cheap tools, complete software suites. measuring how well predictive models work once you've got predictive model, how do you know how good is? we cover methods evaluate models, which fall into two groups: forecasting: how large boost revenue, sales profit model produce? accuracy: how well does predict, how often correct, how much better than standard segmentation rfm? deploying predictive model playing numbers game puts odds your favor improves effectiveness campaigns, operations web behavior. we create profit curves, roi calculations bottom-line analyses talk through exactly what they're telling us. we prepare performance gotchas sneak up you. management project leadership predictive analytics although predictive analytics technical its core, must run business activity order generate customer predictions have business impact. requires wholly collaborative process driven business needs marketing expertise. ensures customer predictions are actionable within your company's operational framework, they have greatest impact within your company's business model. referencing industry standard data mining process model (called crisp-dm), we break down requirements predictive analytics business initiative. we explore process, which analysts managers collaborate strategically position predictive analytics, sustain universal buy-in understanding, avoid common roadblocks unforeseen hazards. interactive breakout sessions like sky-diving scuba diving, after few hours learning, it's good time dive right in. end, training program includes breakout sessions, which are integrated conceptual flow topics covered. you join small team actively collaborate design deployment strategies predictive analytics. working together select solve specific business problems, you design strategic processes avert organizational challenges, you design broa d technical approach, including data discovery, data preparation evaluatory metrics needed direct predictive analytics initiative. these engaging breakout sessions are conducive exercising concepts you've learned, making them more intuitive ingrained, provide opportunity learn colleagues. course information registration attendees receive course materials book official prediction impact certificate completion conclusion predictive analytics business, marketing web training program. feel free contact prediction impact any questions training program. start learning right now the following short, published articles, written instructor, are great place get started. note these articles are not required reading; material therein covered during training program. predictive analytics data mining: how works get handle functional value predictive analytics marketing, sales product direction. dm review's dm direct. driven business expertise, analytics produces actionable predictions run data mining business activity generate customer predictions have business impact. crm magazine's destinationcrm. predictive analytics' killer app: retaining new customers predictively targeted discounts convert new customers who would otherwise never return become loyal customers. dm review's extended edition. about instructor eric siegel, ph.d., seasoned consultant data mining analytics, acclaimed industry instructor, award-winning teacher graduate-level courses these areas. eric served computer science professor columbia university, where he developed data mining technology realms machine learning performance optimization, integrating historical databases, text mining, data visualization. eric prod uced 11 peer-reviewed research publications ran mit-hosted symposium data mining. he co-founded two new york city-based software companies customer/user profiling data mining. data mining, eric solved problems crm analytics, computer security, fraud detection, text mining information retrieval. eric taught industry programs through prediction impact, modeling agency salford systems. addition, he taught many semesters university courses, including data mining-related graduate courses well introductory lecture series non-technical audiences. two these courses have been syndication through columbia university video network. eric published three peer-reviewed papers computer science education. register now ", " Program: Predictive Analytics for Business, Marketing and Web Dates: Sept. 20-21, 2007 and Oct. 18-19, 2007 Locations: San Francisco, CA (September) & Washington, DC (October) Instructor: Eric Siegel, Ph.D. Price: $1,395 early-bird registration 1 month ahead; $1,495 thereafter. Sign up: Click here to register. ...")
add(" Predictive Analytics Services ", " service training programs. predictive analytics training, san francisco & washington dc, sept. & oct.: concentrated training seminar data mining predictive analytics business, marketing web includes interactive breakout sessions. on-site training programs: gain complete understanding data mining predictive analytics your personnel, your convenience. zero-risk: better targeting direct mail. improve response profiles data mining. what predictive analytics achieves with customer intelligence, you reach customer's buying potential by: dramatically increasing response rates offers, mailings, promotions, thus cross-selling upselling your way greater wallet share. recognizing triggers drivers maximize customer satisfaction actualize unrealized potential value. strengthening customer loyalty. acquiring most profitable customers. optimizing product features pricing. optimizing customer service touch-point processes. crm analytics enable you understand your customers' behavior by: revealing descriptive profiles your best worst customers. distinguishing short-term customers lifetime-loyal customers. interpreting behavior unsurveyed customers. tracking predicting migration between customer segments. by predicting undesirable customer behavior, you proactively: retain your customers, minimizing attrition. ensure collections efficiency. reduce fraud misuse. protect your bottom line. [ how predictive analytics work ] ", " Service and Training Programs. Predictive Analytics Training, San Francisco & Washington DC, Sept. & Oct.: A concentrated training seminar on data mining and predictive analytics for business, marketing and web that includes interactive breakout sessions. On-site Training Programs: Gain a complete understanding of data mining and predictive analytics for your personnel, at your convenience. Zero-risk: better targeting for direct mail. Improve response pro...")
add(" How Prediction Impact's CRM Analytics Work ", " history repeats itself. good thing. what through crm analytics data mining, prediction impact brings you marketing strategy insights customer intelligence deliver concrete, readily-applicable business imperatives. why anyone facing business mandates recognize ability literally predict customer behavior would boost your bottom line spell success marketing initiatives. the best resource which make these predictions your customer data, is, your company's collective experience. today's state-of-the-art method tap resource data mining. data mining employs seasoned algorithms build latest results applied predictive analytics theoretical predictive modeling. how data mining discovers richly-defined "micro-segments" -- precise customer segmentation informs customer behavior predictions most valuable your business. customer segmentation identifies customers poor loyalty low profitability, order target these customers improvement cost-cutting. likewise, customers high loyalty high value are identified, providing insight improving regions customer segmentation. ", " History repeats itself. Good thing. WHAT Through CRM analytics and data mining, Prediction Impact brings you marketing strategy insights and customer intelligence that deliver concrete, readily-applicable business imperatives. WHY Anyone facing business mandates can recognize that the ability to literally predict customer behavior would boost your bottom line and spell success for marketing initiatives. The best resource with which to make these predictions is ...")
add(" Predictive Analytics Article ", " predictive analytics data mining:how works by eric siegel, ph.d. although you've probably heard many times predictive analytics optimize your marketing campaigns, it's hard envision, more concrete terms, what do. makes tough select direct analytics technology. how you get handle its functional value marketing, sales product directions without necessarily becoming expert? the answer is, order know precisely how predictive analytics may benefit current marketing operations, you do need learn few specifics how works. short article covers just enough inside mechanics eliminate predictive analytics' "voodoo" status. here you learn what predictive model is, how, actively guiding marketing campaigns, constitutes key form business intelligence. end, we'll take look inside see how model works d how created. 1. predictors rank your customers guide your marketing predictive analytics' central building block predictor, single value measured customer. example, recency, which based number weeks since customer's last purchase, higher values more recent customers. predictor usually reliable campaign response predictor: you receive more responses customers more highly ranked recency. means you contact your customers order recency -- first, call most-recent customer; next, call next-most-recent customer; -- you improve your response rate. for prediction goal, there are abundance predictors help rank your customer database. example, consider customer's online behavior: customers who spend less time logged may less likely renew their annual subscription. case, retention campaigns cost-effectively targeted customers low monthly usage predictor value. 2. combined predictors means smarter rankings it turns out you do even better using more than one predictor time, combining them model. creating model very purpose predictive analytics. one way combine two predictors formula, simply adding them together. both recency personal income influence chance customer respond mailing, good predictor may be: recency + personal income voilà, new, improved predictor. recency twice important, give twice weight: 2 x recency + personal income a scheme combines predictors called model -- case summation above, linear model. reason, predictive analytics called predictive modeling. other predictive models are business intelligence rules, as: if customer rural, her monthly usage high, then customer probably renew. if you discover urban customers who spend more time exploring new service features are greater risk cancel, expand rule-based model second rule: if customer urban, new feature exploration high, then customer probably not renew. the right combination predictors perform better prediction considering multiple aspects customer her behavior. match complexity customer decisions, predictive model must usually much richer more complex than above examples, combining dozens predictors. 3. computer makes your model your customer data the real trick find best predictive model. difficult problem, since there are many options. there are many kinds models, linear formulas business rules. and, kind model, there are all weights rules mechanics determine precisely how predictors are combined. fact, there are many choices, literally impossible person try them all find best one. predictive analytics data mining technology uses your customer data automatically build predictive model specialized your business. process learns your organization's collective experience leveraging your existing logs customer purchases, behavior demographics. wisdom gained encoded predictive model itself. predictive modeling software computer science its core, undertaking mixture number crunching, trial, error. wisdom gained: predictive model built customer data predictive analytics generate business rules may make clear sense, you could end up complex formula hard decipher. choice up you, keeping mind simpler, more intuitive model may not perform prediction well. 4. simple curve shows how well your model works either way, you need solid proof model good one. profit curve (shown below) estimates profit you'll receive campaign guided predictive analytics, depending how many prospects you contact. profit curve predicts depends ranking your customers given predictive model, cost per contact (e.g., printing mailing costs), average profit per respondent. a typical profit curve as shown upper line, more customers you contact, greater your profit, up point. predicted profit line rises initially, since you contact customers more likely respond first. after exhausting highly ranked, though, contacting remaining customers only serve decrease your profit. you'll probably want stop your campaign high profit peak, although choice may depend your longer-term marketing strategies. the effectiveness predictive ranking clear. predictive model means rank customers, there may loss rather than profit, shown lower, diagonal line. takes place when too few customers respond make campaign costs pay off. case, more customers you contact, more money you lose. given state affairs, rise (and eventual fall) upper profit line testimony how well model predicts. 5. conclusions a careful combination predictors performs better customer prediction considering multiple aspects your customers their behaviors. predictive analytics finds right way combine predictors building model optimized according your customer data. predictive analytics builds models automatically, but overall business process direct integrate predictive analytics means automatic -- truly needs your marketing expertise. learn process why requires your direct involvement, check out article, "driven business expertise, analytics produces actionable predictions." about author eric siegel, ph.d., cofounder senior consultant san francisco-based prediction impact, providing analytics training services medium through fortune 100 companies. he expert data mining predictive analytics award-winning teacher graduate-level courses areas. siegel served computer science professor columbia university, where he forwarded data mining technology realms machine learning performance optimization, text mining data visualization. he cofounded two new york city-based software companies customer/user profiling data mining. data mining, eric solved problems computer security, fraud detection, computational linguistics information retrieval. you reach him eric@predictionimpact.com (415) 385-1313. ", " Predictive Analytics with Data Mining:How It Works by Eric Siegel, Ph.D. Although you've probably heard many times that predictive analytics will optimize your marketing campaigns, it's hard to envision, in more concrete terms, what it will do. This makes it tough to select and direct analytics technology. How can you get a handle on its functional value for marketing, sales and product directions without necessarily becoming an expert? The answer is, in order to know...")
add(" Predictive Analytics Article ", " customer retention predictive analytics:how profitable it? by eric siegel, ph.d. this article describes links forecast model spreadsheet introduced dmreview article, predictive analytics' killer app: retaining new customers. prediction impact quick links: predictive analytics training, san francisco & washington dc, sept. & oct.. concentrated training seminar data mining predictive analytics business, marketing web includes interactive breakout sessions. on-site training programs. gain complete understanding data mining predictive analytics your personnel, your convenience. subscribe our bi-annual email newsletter articles, case studies training seminar schedules. how much higher would your revenue climb you could predict which customers are likely churn? predictive analytics targets customer retention campaigns ensure bottom-line roi. predicting which customers are risk defection, campaign dollars are applied effectively -- without predictive targeting, retention campaign may cost more than gains. as detailed author's dmreview article, predictive analytics' killer app: retaining new customers, we predict which first-time customers won't return, we target them aggressive conversion campaign, enticing would otherwise leave heavy discount free trial. way, we turn first date into long-term relationship. a predictive model tells us which new customers are likely return which are probably one-timers. model created data mining methods "learn" collective experience your company recorded your sales records. model then applies what's been learned produce predictive score new customer, real time. place, new customers we would otherwise never see again are targeted enticed stay. since we don't waste retention offer new customers likely return, numbers work out very well: growth rate medium-term profits potentially skyrocket, immediate-term profits are not put risk. for overview killer app predictive analytics, see published article. but article doesn't tell you how forecast expected profit -- links back webpage show you how. to calculate how much profit predictive retention campaign generate, you need forecast model. that's right, takes another kind model tell you profitability predictive model. because profit depends more than just how accurately model predicts -- depends how used: the total number customers how much retention campaign cost per contact how much profit gained customer successfully retained the response rate campaign, which depends design execution customer contact the spreadsheet forecast model below combines these factors calculate forecasted revenue predictively targeted retention campaign. forecasts revenue same campaign deployed all customers, i.e., without predictive targeting. second value, which often shows loss revenue, serves basis comparison. if retention campaign targeted only customers predicted not return, overall profit increases. assume our business currently retains 20% new customers. predictive modeling may discover series sub-segments together identify 60% new customers, whom are 40% more likely than average return. realistic result, valuable one that, enough overcome loss revenue comes offering rebate. spreadsheet set up these v alues, assumes high response rate 20% aggressive campaign offers hefty coupon 50% customer's next purchase. with forecast model, you plug your own numbers try different "what-if" scenarios. numbers you plug based results true modeling test campaign results, based business objectives you intend achieve. download forecast model spreadsheet you download spreadsheet two ways: excel spreadsheet version. forecast model graphical bar chart results. google spreadsheet version. may save you several seconds downloading starting excel, but you must have create free google account, does not support graphical bar chart. about author eric siegel, ph.d., cofounder senior consultant san francisco-based prediction impact, providing analytics training services medium through fortune 100 companies. he expert data mining predictive analytics award-winning teacher graduate-level courses areas. siegel served computer science professor columbia university, where he forwarded data mining technology realms machine learning performance optimization, text mining data visualization. he cofounded two new york city-based software companies customer/user profiling data mining. data mining, eric solved problems computer security, fraud detection, computational linguistics information retrieval. you reach him eric@predictionimpact.com (415) 385-1313. ", " Customer Retention with Predictive Analytics:How Profitable Is It? by Eric Siegel, Ph.D. This article describes and links to the forecast model spreadsheet introduced in the DMReview article, Predictive Analytics' Killer App: Retaining New Customers. Prediction Impact quick links: Predictive Analytics Training, San Francisco & Washington DC, Sept. & Oct.. A concentrated training seminar on data mining and predictive analytics for business, marketing an...")
add(" Prediction Impact Site Map ", " predictive analytics transform your data customer intelligence how prediction impact's crm analytics work results you get predictive analytics zero-risk: better targeting direct mail predictive analytics: how works how deploy it prediction impact eric siegel's resume predictive analytics services training seminar: predictive analytics training seminar: predictive analytics - registration training program registration form predictive analytics data mining contact information search prediction impact website previous newsletters prediction impact prediction impact bi-annual newsletter april, 2007 predictive analytics revenue-generating response models prediction impact bi-annual newsletter september, 2006 prediction impact bi-annual newsletter may, 2006 prediction impact bi-annual newsletter october, 2005 prediction impact bi-annual newsletter april, 2005 prediction impact bi-annual newsletter october, 2004 prediction impact bi-annual newsletter april, 2004 predictive analytics articles customer retention predictive analytics: how profitable it? predictive analytics data mining: how works? analytics + business expertise = actionable predictions customer ", " Predictive Analytics Transform Your Data to Customer Intelligence How Prediction Impact's CRM Analytics Work The results you will get from predictive analytics Zero-risk: better targeting for direct mail Predictive Analytics: How It Works and How to Deploy It About Prediction Impact Eric Siegel's Resume Predictive Analytics Services ...")
add("
Prediction Impact Bi-Annual Newsletter April, 2004 ", " in edition: introductory letter. training. data mining "level i". strategic overview methods, resources applications predictive analytics. article. driven business expertise, analytics produces actionable predictions introductory letter dear friend prediction impact, 2004 exciting year predictive analytics. research repeatedly concludes, more more organizations are realizing roi infrastructure investments data warehouses crm systems mining business intelligence buried within their aggregate data. buzz success stories continues grow their resulting payoffs keep increasing. riding wave technology adoption, data mining consultants prediction impact's network are servicing increasingly diverse business applications predictive analytics. our group experts interdisciplinary, complementing one another's backgrounds collaborating when needed. while most have earned ph.d., demonstrating deep technical familiarity modeling mining methods, all have gained great deal true experience commercial side. means walking into l arge banks, manufacturers retail firms enabling these organizations leverage their data. nutshell, data your organization's collective experience. if you're interested exploring potential predictive analytics your organization, contact us exploratory meeting just chat phone. you'll discover, what's mined yours. best regards, eric v. siegel, ph.d. senior consultant co-founder prediction impact (415) 385-1313 http://www.predictionimpact.com crm analytics: response prediction customer prediction business-prediction.com [go top] [back newsletters] trainingdata mining "level i". strategic overview methods, resources applications predictive analytics. our senior consultant eric siegel facilitate modeling agency's data mining: "level i" june 21 22 offering washington, dc. follow link below more information qualify $100 registration discount, exclusively through prediction impact. for course details outline, instructor bio, venue tourism information, registration, $100 prediction impact discount: http://www.the-modeling-agency.com/training/dm-level1.htm on-site training offerings: prediction impact offers on-site on-line (webinar) trainings varying duration scope. contact training@predictionimpact.com scheduling price quotes. [go top] [back newsletters] articledriven business expertise, analytics produces actionable predictions run data mining business activity generate customer predictions have business impact. march 29, 2004, crm magazine's destinationcrm eric siegel, prediction impact there often overlooked, but critical, bit good bad news crm analytics. adhering tradition, let's start bad. the bad news: crm analytics business activity, not activity. other data-intensive initiatives, deploying data warehouse olap solution, handed off revisited later receive results. but crm analytics data mining require wholly collaborative process driven business needs marketing expertise -- you need meet your analytics folks few times week. the good news: crm analytics business activity, not activity. that's right, bad news good. crm analytics run business activity, you guide process. ensures results are actionable within your company's operational framework, they have greatest impact within your company's business model. this short article helpful introduction understand, concrete terms, business value data mining business process required make work. although article describes predictive analytics terms customer relationship management, ideas are applicable all types data mining applications, including direct marketing, response modeling, web analytics attrition prevention. [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Introductory Letter. Training. Data mining "Level I". A Strategic Overview of Methods, Resources and Applications for Predictive Analytics. Article. Driven with Business Expertise, Analytics Produces Actionable Predictions INTRODUCTORY LETTER Dear Friend of Prediction Impact, 2004 is an exciting year for predictive analytics. As research repeatedly concludes, more and more organizations are realizing ROI on infrastructure...")
add(" Prediction Impact Bi-Annual Newsletter April, 2005 ", " in edition: training. data mining: levels ii iii news. objectively measuring scientific progress. services. general information prediction impact, inc. training data mining: levels ii iii our senior consultant eric siegel facilitate modeling agency's "data mining: level ii" "level iii" public training programs washington, dc, june 22-24. more information, qualify $200 registration discount level ii, exclusively through prediction impact, follow link below. for course details, topic outlines, instructor bio, venue tourism information, registration, $200 prediction impact discount: http://www.the-modeling-agency.com/pi-special on-site training offerings: prediction impact offers diverse range on-site on-line training options data mining predictive analytics. we tailor your training program according your background needs. what do you need prepare mining your data? would you benefit general understanding data mining predictive analytics you determine how best apply it? does your marketing staff need more hands-on knowledge? for more information, including instructor biography, see: http://www.predictionimpact.com/predictive-analytics-training.html for inquiries, price quotes, scheduling training program topic outlines, email training@predictionimpact.com call us (415)385-1313. [go top] [back newsletters] newsobjectively measuring scientific progress. objectively measuring scientific progress: prediction impact enlisted scitech strategies, inc. corporations investors alike need objective measures technology growth scientific progress. example, venture capitalists need basis evaluating promise emerging technologies. likewise, pharmaceutical companies need predict which trends drug discovery research fulfill their promise. these cutting edge players need science science. scitech strategies, inc. derives mission-critical intelligence speculate over areas scientific technical progress, forecast which are most promising. analysis produces insights as: what are many current research trends within field. which scientific fields have greatest vitality. which scientific areas within field have greater commercial value. which trends bodies work are most important central. how do major trends interrelate depend one another. for science study itself, there must concrete object scrutiny: growing body scientific literature. central literature are journal articles, which record scientific progress its most rigorously reviewed edited form. while these articles isolation represent single building block progress, body literature whole reveals nature scientific progress itself. scitech strategies, inc. enlisted prediction impact (pi) develop key data mining initiative study science. initiative examines patterns how published articles cite one another. whole, constitutes massive network relationships, similar way web pages link one another. pi implemented optimized scitech strategies' specialized, proprietary data mining clustering methods, applying them discover key research technology trends. further nalysis then characterizes these trends type, importance vitality, reveals relationships between trends. for more information work, scitech strategies, inc. contacted directly info@mapofscience.com. [go top] [back newsletters] servicesgeneral information prediction impact, inc. based san francisco, prediction impact, inc. (www.predictionimpact.com) provides consulting services over range disciplines, including predictive analytics, data mining, business intelligence, text mining. prediction impact consultants have gained great deal commercial experience, working large banks, manufacturers, retail firms, online businesses, enabling these organizations learn their data. most prediction impact consultants have earned ph.d., demonstrating deep technical familiarity modeling data mining methods. response predictioncustomer predictionbusiness prediction for more information, contact eric siegel, ph.d., president senior consultant predictive analytics: phone: (415) 385-1313 email: eric@predictionimpact.com [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Training. Data Mining: Levels II and III News. Objectively Measuring Scientific Progress. Services. General Information about Prediction Impact, Inc. TRAINING Data Mining: Levels II and III Our senior consultant Eric Siegel will facilitate The Modeling Agency's "Data Mining: Level II" and "Level III" public training programs in Washington, DC, June 22-24. For more information, and to QUALIFY FOR A $200 REGIS...")
add(" Prediction Impact Bi-Annual Newsletter April, 2007 ", " in edition: training. predictive analytics business, marketing web article. predictive analytics' killer app: retaining new customers article. predictive analytics revenue-generating response models conference. emetrics summit services. general information prediction impact, inc. trainingpredictive analytics business, marketing web business metrics do great job summarizing past. but you want predict how customers respond future, there one place turn predictive analytics. learning your abundant historical data, predictive analytics provides marketer something beyond standard business reports sales forecasts: actionable predictions customer. these predictions encompass all channels, both on-line off, foreseeing which customers buy, click, respond, convert cancel. you predict it, you own it. predictive analytics business, marketing web concentrated training program includes interactive breakout sessions. two days we cover: the techniques, tips pointers you need order run successful predictive analytics data mining initiative how strategically position tactically deploy predictive analytics data mining your company how bridge prevalent gap between technical understanding practical use how predictive model works, how it's created, how much revenue generates no background statistics modeling required. only specific knowledge assumed training program moderate experience excel. this prediction impact training offered conjunction emetrics summit. for course details, topic outlines, instructor bio, venue information, registration, on-site training options, $100 early-bird discount, see: http://www.predictionimpact.com/predictive-analytics-training.html [go top] [back newsletters] articlepredictive analytics' killer app: retaining new customers there goldmine growth available certain lucky businesses many one-time customers. these companies large portion new customers never returning, flow passers-by presents unique opportunity. tapping into potential source revenue subject predictive analytics' killer app: retaining new customers, article published dm review's february 2007 extended edition. while some businesses use standard approach winning over one-time customers broad improvements business operations revamped marketing personalized service readers learn how instead predict which first-time customers are least likely return, how businesses target aggressive conversion campaigns direction. saves directing costly improvements incentives customers likely return anyway. title: predictive analytics' killer app: retaining new customers learn why predictive models are key determining which customers are likely stay, which are likely one-timers. focusing latter group mean impressive growth big gains medium-term profits. author: eric siegel, ph.d. click here article [go top] [back newsletters] articlepredictive analytics revenue-generating response models the january 2007 dm news' essential guide lists, database marketing & data services includes article prediction impact president eric siegel spotlighting how response modeling predictive analytics offers something very different standard business reporting sales forecasting actionable predictions customer. this special form business modeling foresees customer purchase, response cancellation, predicts behavior existing prospective customers under certain conditions. results used target sales campaigns, marketing efforts business activities. title: predictive analytics revenue-generating response models learn how collaborative process response modeling, driven business needs marketing insight, ensures prediction goals are well-defined results are actionable. author: eric siegel, ph.d. click here 2-page pdf contains article [go top] [back newsletters] conference emetrics summit marketing managers, web analysts business intelligence experts have been meeting emetrics summit since 2002 learn how increase their return online investments. year's emetrics "the big picture" summit continues offer online marketers all levels intensive learning experience, expert advice strategies optimize online marketing value. keynote speakers include founding president web analytics association jim sterne, bestbuy.com's director customer experience lissa gatz, microsoft's platforms solutions' senior director customer intelligence analytics, seth romanow. the emetrics "big picture" summit san francisco may 6-9 palace hotel (on new montgomery street, near financial district). over four days, conference agenda covers wide range topics provide holistic view web marketing optimization. marketers learn insightful sessions optimizing display ads landing pages, web 2.0, conversion marketing, real-life case studies more. attendees enjoy in-depth lessons covering topics search analytics, competitive analysis, persuasion architecture web marketing best practices. the emetrics summit followed may 10-11 predictive analytics business, marketing web, seminar offered conjunction emetrics led eric siegel, ph. d., president senior consultant prediction impact. (this seminar held san francisco marriott hotel, just two blocks emetrics summit venue. more information seminar included prior section newsletter.) for more information emetrics "big picture" summit, please visit: http://www.emetrics.org/ [go top] [back newsletters] servicesgeneral information prediction impact, inc. based san francisco, prediction impact, inc. (www.predictionimpact.com) provides consulting services over range disciplines, including predictive analytics, data mining, business intelligence, text mining. prediction impact consultants have gained great deal commercial experience, working large banks, manufacturers, retail firms, online businesses, enabling these organizations learn their data. most prediction impact consultants have earned ph.d., demonstrating deep technical familiarity modeling data mining methods. response predictioncustomer predictionbusiness prediction for more information, contact eric siegel, ph.d., president senior consultant predictive analytics: phone: (415) 385-1313 email: eric@predictionimpact.com [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Training. Predictive Analytics for Business, Marketing and Web Article. Predictive Analytics' Killer App: Retaining New Customers Article. Predictive Analytics for Revenue-Generating Response Models Conference. Emetrics Summit Services. General Information about Prediction Impact, Inc. TRAININGPredictive Analytics for Business, Marketing and Web Business metrics do a great job summarizing the past. But if you want to predic...")
add(" Previous Newsletters from Prediction Impact ", " training. predictive analytics business, marketing web article. predictive analytics' killer app: retaining new customers article. predictive analytics revenue-generating response models conference. emetrics summit services. general information prediction impact, inc. training. predictive analytics seminar article. direct customer analytics projects business drivers conference. emetrics summit services. general information prediction impact, inc. training. business analytics seminar case study. predictive analytics retention acquisition services. general information prediction impact, inc. training. data mining: levels ii iii case study. spend forecasting global accounts. conference. speaking engagement predictive analytics services. general information prediction impact, inc. training. data mining: levels ii iii news. objectively measuring scientific progress. services. general information prediction impact, inc. training. on-site training programs predictive analytics article. predictive analytics data mining: how works. news. hbs consulting enlists prediction impact. services. general information prediction impact, inc. introductory letter. training. data mining "level i". strategic overview methods, resources applications predictive analytics. article. driven business expertise, analytics produces actionable predictions ", " Training. Predictive Analytics for Business, Marketing and Web Article. Predictive Analytics' Killer App: Retaining New Customers Article. Predictive Analytics for Revenue-Generating Response Models Conference. Emetrics Summit Services. General Information about Prediction Impact, Inc. ...")
add(" Prediction Impact Bi-Annual Newsletter May, 2006 ", " in edition: training. business analytics seminar case study. predictive analytics retention acquisition services. general information prediction impact, inc. trainingbusiness analytics seminar data your most valuable asset. represents entire history your organization its interactions customers. predictive analytics taps rich vein experience, mining offer something completely different standard business reporting sales forecasting: actionable predictions customer. you predict it, you own it. predictive analytics business marketing concentrated training program active hands-on component. two days we cover: the techniques, tips pointers you need order run successful predictive analytics data mining initiative how strategically position tactically deploy predictive analytics data mining your company how predictive model works, how it's created, how much revenue generates no background statistics modeling required. only specific knowledge assumed training program moderate experience excel. for course details, topic outlines, instructor bio, venue information, registration, on-site training options, $100 early-bird discount, see: http://www.predictionimpact.com/predictive-analytics-training.html if you would like notified future public training sessions, email training@predictionimpact.com. [go top] [back newsletters] case studypredictive analytics retention acquisition the client media company generating quickly growing revenue $30 million hosting leading online dating service. number international paying subscribers roughly 145,000. since growth subscribers results mere 20% margin over high monthly attrition rate (as expected subscription service), relatively small increase retention provides healthy return. example, 5% decrease attrition results estimated $862,500 customer lifetime values per year, plus compound effect. we employed predictive analytics discover assess most effective metrics indicators predict customer attrition, well customer acquisition unpaid paid subscriptions (i.e., conversion). both metrics measure product usage trends, well demographic indicators, proved predictive future customer attrition conversion events. example, customers who sign up "hotmail" "yahoo" email accounts are far less likely (20 - 25% likel y) convert paid subscription than users email addresses may more "permanent," ".net" "earthlink" email addresses. could very well turn out important predictor many online subscription-based services well. insight speaks directly business strategy, employing incentives customers provide permanent email addresses, partnering certain email service providers. resulting predictive models predi cted customer events even more effectively combining multiple indicators, enabling tactical deployment, as, example, retention campaign strategy positive estimated roi. acting more general business intelligence role, we provided several related services client: to support above initiative predictive analytics, well more general analytics goals, we developed marketing data mart serves foundation cohesive business intelligence system. we discovered substantial, ongoing loss subscriptions due credit card processing error, advised tiered business procedure may recover estimated $1 3 million annual revenue. we produced general marketing reports analyze attrition acquisition trends over various customer segments. we gathered reporting requirements across multiple departments, designed customer attrition poll marketing intelligence, evaluated analytics software services purchase, designed advised additional marketing metrics moving forward, established ongoing financial reconciliation process internal audits, quality control, sarbanes-oxley compliance. we helped screen candidates fte director business intelligence. [go top] [back newsletters] servicesgeneral information prediction impact, inc. based san francisco, prediction impact, inc. (www.predictionimpact.com) provides consulting services over range disciplines, including predictive analytics, data mining, business intelligence, text mining. prediction impact consultants have gained great deal commercial experience, working large banks, manufacturers, retail firms, online businesses, enabling these organizations learn their data. most prediction impact consultants have earned ph.d., demonstrating deep technical familiarity modeling data mining methods. response predictioncustomer predictionbusiness prediction for more information, contact eric siegel, ph.d., president senior consultant predictive analytics: phone: (415) 385-1313 email: eric@predictionimpact.com [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Training. Business Analytics Seminar Case Study. Predictive Analytics for Retention and Acquisition Services. General Information about Prediction Impact, Inc. TRAININGBusiness Analytics Seminar Data is your most valuable asset. It represents the entire history of your organization and its interactions with customers. Predictive analytics taps this rich vein of experience, mining it to offer something completely different from standard...")
add(" Prediction Impact Bi-Annual Newsletter October, 2004 ", " in edition: training. on-site training programs predictive analytics article. predictive analytics data mining: how works. news. hbs consulting enlists prediction impact. services. general information prediction impact, inc. trainingon-site training programs predictive analytics what does your organization need order become fully prepared mine your data? would you benefit general understanding data mining predictive analytics you determine how best apply it? does your marketing staff need more hands-on knowledge? prediction impact offers diverse range training options data mining predictive analytics. we tailor your training program according your background needs. for more information, including instructor biography, see: http://www.predictionimpact.com/predictive-analytics-training.html for inquiries, price quotes, scheduling our training program topic outlines, email training@predictionimpact.com call us (415)385-1313. [go top] [back newsletters] articlepredictive analytics data mining: how works. although you've probably heard many times predictive analytics optimize your marketing campaigns, it's hard envision, more concrete terms, what do. makes tough select direct analytics technology. how you get handle its functional value marketing, sales product directions without necessarily becoming expert? the answer is, order know precisely how predictive analytics may benefit current marketing operations, you do need learn few specifics how works. short article covers just enough inside mechanics eliminate predictive analytics' "voodoo" status. here you learn what predictive model is, how, actively guiding marketing campaigns, constitutes key form business intelligence. end, we'll take look inside see how model works d how created. click here entire article, including illustrations example models [go top] [back newsletters] newshbs consulting enlists prediction impact. in order expand their offering predictive analytics data mining services, hbs consulting (http://www.hbsconsult.com) enlisted prediction impact its exclusive subcontracting partner predictive analytics. resource base technical competency provided prediction impact's consultants, hbs consulting offers greater range depth data mining options their clients. hbs consulting professional services firm assisting fortune 500 companies create competitive advantage build strategic competencies. hbs specializes planning execution strategic projects innovative results: organizational transformation, adoption new technologies, governance, business process management. hbs consultants bring senior management perspective every project, working most cases advisor cxos directors large enterp rises. [go top] [back newsletters] servicesgeneral information prediction impact, inc. based san francisco, prediction impact, inc. (www.predictionimpact.com) provides consulting services over range disciplines, including predictive analytics, data mining, business intelligence, text mining. prediction impact consultants have gained great deal commercial experience, working large banks, manufacturers, retail firms, online businesses, enabling these organizations learn their data. most prediction impact consultants have earned ph.d., demonstrating deep technical familiarity modeling data mining methods. response predictioncustomer predictionbusiness prediction for more information, contact eric siegel, ph.d., president senior consultant predictive analytics: phone: (415) 385-1313 email: eric@predictionimpact.com [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Training. On-Site Training Programs for Predictive Analytics Article. Predictive Analytics with Data Mining: How It Works. News. HBS Consulting Enlists Prediction Impact. Services. General Information about Prediction Impact, Inc. TRAININGOn-Site Training Programs for Predictive Analytics What does your organization need in order to become fully prepared to mine your data? Would you benefit from a general understanding of data m...")
add(" Prediction Impact Bi-Annual Newsletter October, 2005 ", " in edition: training. data mining: levels ii iii case study. spend forecasting global accounts. conference. speaking engagement predictive analytics services. general information prediction impact, inc. trainingdata mining: levels ii iii our senior consultant eric siegel facilitate modeling agency's "data mining: level ii" "level iii" public training programs las vegas, nv, december 7-9. more information, qualify $200 registration discount level ii, exclusively through prediction impact, follow link below. for course details, topic outlines, instructor bio, venue tourism information, registration, $200 prediction impact discount: http://www.the-modeling-agency.com/pi-special on-site training offerings: prediction impact offers diverse range on-site on-line training options data mining predictive analytics. we tailor your training program according your background needs. what do you need prepare mining your data? would you benefit general understanding data mining predictive analytics you determine how best apply it? does your marketing staff need more hands-on knowledge? for more information, including instructor biography, see: http://www.predictionimpact.com/predictive-analytics-training.html for inquiries, price quotes, scheduling training program topic outlines, email training@predictionimpact.com call us (415)385-1313. [go top] [back newsletters] case studyspend forecasting global accounts. for fortune 100 technology company, we produced key business intelligence global strategy sales force allocation. core analytic objective was forecast spending global accounts principal product groups. this project was conducted team three analysts, including two affiliates prediction impact: senior consultant eric siegel consulting advisor karl rexer (see www.predictionimpact.com/about.html consultant bios). staffing project was through our partner firm, elder research, inc. (www.datamininglab.com) the resulting reports are strategically tactically central. they predict number product units account purchase. therefore, analysis central global strategic decision-making, as: recognizing acting upon outstanding opportunities, across global accounts, regions, product groups assisting partnering pricing decisions, regionally world-wide these business intelligence deliverables apply tactically, in: deploying right type variation sales activity, according metrics-based segmentation accounts, account divisions, region-specific account sites identifying strongest sales opportunities within accounts, product group adjusting sales quotas data-driven manner substantial technical challenges were overcome project. spend forecasting model pulls together range evidence, clues indicators describe global account. data sources fulfilled these demands were disparate, originating across internal business units, well external resources survey results. these data sources required heavy dose discovery, assessment, evaluation, interpretation, cleansing, "crunching," augmentation, unification merging. [go top] [back newsletters] conference speaking engagement predictive analytics 2nd annual predictive intelligence conference bio/pharmaceutical companies -- jan. 23-24, 2006, princeton, nj. this conference covers industry-specific tools techniques available analyzing data strategically plan future. conference focuses technologies applications available advance scenario planning, competitive intelligence data analysis next level. attendees learn how generate insights, analyses recommendations needed success today's competitive pharmaceutical landscape. prediction impact's senior consultant eric siegel speak during second day conference on, "empowering crm predictive analytics." for conference content, speakers, venue registration: http://www.cbinet.com/show_conference.cfm?confcode=hb603 [go top] [back newsletters] servicesgeneral information prediction impact, inc. based san francisco, prediction impact, inc. (www.predictionimpact.com) provides consulting services over range disciplines, including predictive analytics, data mining, business intelligence, text mining. prediction impact consultants have gained great deal commercial experience, working large banks, manufacturers, retail firms, online businesses, enabling these organizations learn their data. most prediction impact consultants have earned ph.d., demonstrating deep technical familiarity modeling data mining methods. response predictioncustomer predictionbusiness prediction for more information, contact eric siegel, ph.d., president senior consultant predictive analytics: phone: (415) 385-1313 email: eric@predictionimpact.com [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Training. Data Mining: Levels II and III Case Study. Spend Forecasting for Global Accounts. Conference. Speaking engagement on predictive analytics Services. General Information about Prediction Impact, Inc. TRAININGData Mining: Levels II and III Our senior consultant Eric Siegel will facilitate The Modeling Agency's "Data Mining: Level II" and "Level III" public training programs in Las Vegas, NV, December 7-9...")
add(" Prediction Impact Bi-Annual Newsletter September, 2006 ", " in edition: training. predictive analytics seminar article. direct customer analytics projects business drivers conference. emetrics summit services. general information prediction impact, inc. training predictive analytics business, marketing web data your most valuable asset. represents entire history your organization its interactions customers. predictive analytics taps rich vein experience, mining offer something completely different standard business reporting sales forecasting: actionable predictions customer. you predict it, you own it. predictive analytics business marketing concentrated training program active hands-on component. two days we cover: the techniques, tips pointers you need order run successful predictive analytics data mining initiative how strategically position tactically deploy predictive analytics data mining your company how predictive model works, how it's created, how much revenue generates no background statistics modeling required. only specific knowledge assumed training program moderate experience excel. for course details, topic outlines, instructor bio, venue information, registration, on-site training options, $100 early-bird discount, see: http://www.predictionimpact.com/predictive-analytics-training.html if you would like notified future public training sessions, email training@predictionimpact.com. http://www.predictionimpact.com/predictive-analytics-training.html [go top] [back newsletters] articledirect customer analytics projects business drivers a new article published microsoft's midsize business center provides series steps plan evaluate data mining directions your organization. article incorporates interviews data mining experts, including prediction impact senior consultant eric siegel regarding adherence business drivers defining directing customer analytics project. title: mining data: helping business deliver what customers really crave learn how mine your customer databases insight result better services offerings customers. author: fawn fitter http://www.microsoft.com/midsizebusiness/businessvalue/delivery.mspx [go top] [back newsletters] conferenceemetrics summit, washington d.c., oct 16-18 the emetrics summit conference brings together technologies techniques make up art, science business optimizing online marketing value. year, along web analytics association president jim sterne, xerox corporation's vp corporate internet marketing duane schulz coca-cola company's group manager internet marketing tim goudie deliver keynote presentations. the two keynotes were selected represent theme first east coast emetrics summit: big picture. these speeches, well many sessions event, map web analytics overall business values how companies use metrics optimize their marketing objectives. the emetrics summit: big picture washington d.c. october 16-18, 2006 sheraton premier tysons corner. "there are many separate technologies techniques make up successful website," said conference organizer jim sterne. "the goal emetrics summit bring together marketers, web analysts business leaders they look their website holistically gain insight into how optimize their company's online presence." with over 50 speakers covering seven tracks over period three days, emetrics summit: big picture comprehensive event gives business strategists, marketing professionals web analysts actionable insight into marketing performance management techniques improve roi their web activities. the conference preceded web analytics association training day october 15. five session course brings everybody up speed order get most out all sessions following three days. for more information, please visit: http://www.emetrics.org/ [go top] [back newsletters] servicesgeneral information prediction impact, inc. based san francisco, prediction impact, inc. (www.predictionimpact.com) provides consulting services over range disciplines, including predictive analytics, data mining, business intelligence, text mining. prediction impact consultants have gained great deal commercial experience, working large banks, manufacturers, retail firms, online businesses, enabling these organizations learn their data. most prediction impact consultants have earned ph.d., demonstrating deep technical familiarity modeling data mining methods. response predictioncustomer predictionbusiness prediction for more information, contact eric siegel, ph.d., president senior consultant predictive analytics: phone: (415) 385-1313 email: eric@predictionimpact.com [go top] [back newsletters] if newsletter was forwarded you, you may subscribe here. ", " In this edition: Training. Predictive Analytics Seminar Article. Direct customer analytics projects with business drivers Conference. Emetrics Summit Services. General Information about Prediction Impact, Inc. TRAINING Predictive Analytics for Business, Marketing and Web Data is your most valuable asset. It represents the entire history of your organization and its interactions with customers. Predictive analytics taps this rich vein of e...")
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