{"title":"Solutions for Retention \u0026amp; CLV","description":"\u003cp\u003eKnow which customers are worth keeping, who is about to churn, and what each is worth, with lifetime-value and segmentation models.\u003c\/p\u003e","products":[{"product_id":"consider-marketing-clv","title":"Consider Marketing CLV — Customer Lifetime Value Subscription","description":"\u003cp\u003e\u003cstrong\u003eKnow which customers are worth keeping — and what it costs to lose them.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eConsider Marketing CLV is a subscription-based Customer Lifetime Value analytics service that uses predictive modeling and machine learning to forecast the long-term revenue potential of every customer segment. Built for growth teams and CMOs who want to move beyond acquisition metrics and invest in customers who drive sustainable profitability.\u003c\/p\u003e\u003ch2\u003eWho This Is For\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eEcommerce and retail brands with a repeat purchase customer base\u003c\/li\u003e\n\u003cli\u003eMarketing teams optimizing acquisition spend by customer quality, not just conversion volume\u003c\/li\u003e\n\u003cli\u003eCRM and retention teams building loyalty, win-back, and upsell programs\u003c\/li\u003e\n\u003cli\u003eCMOs and CFOs who need to connect marketing investment to long-term revenue, not just last-click ROI\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWhat You Get Every Month\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePredictive CLV Model\u003c\/strong\u003e — ML-powered model forecasting 12, 24, and 36-month customer value based on your historical transaction data\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCustomer Value Segmentation\u003c\/strong\u003e — Automated tiering of your customer base into high, mid, and low CLV segments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAcquisition Quality Scoring\u003c\/strong\u003e — Rank channels and campaigns by the average CLV of the customers they acquire, not just CPA\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChurn Risk Identification\u003c\/strong\u003e — Flag high-value customers at risk of lapsing so retention teams can act early\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpsell and Retention Opportunity Reports\u003c\/strong\u003e — Identify segments most likely to respond to loyalty, upsell, and re-engagement programs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMonthly CLV Dashboard Report\u003c\/strong\u003e — Executive-ready summary of value shifts, segment movements, and recommended actions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDedicated Analyst Access\u003c\/strong\u003e — Direct line to your Consider Analytics team for strategic guidance\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey Outcomes\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eShift acquisition budget toward channels that bring in your highest-value customers\u003c\/li\u003e\n\u003cli\u003eReduce churn by identifying at-risk high-CLV customers before they lapse\u003c\/li\u003e\n\u003cli\u003eImprove CRM targeting by personalizing outreach based on predicted future value\u003c\/li\u003e\n\u003cli\u003eConnect marketing spend to long-term revenue, not just first-order metrics\u003c\/li\u003e\n\u003cli\u003eBuild a stable, profitable customer base instead of chasing volume\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eHow It Works\u003c\/h2\u003e\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboarding (Week 1)\u003c\/strong\u003e — Connect your transaction data, CRM, and channel data; minimum 12 months of purchase history required\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel Build (Weeks 2–3)\u003c\/strong\u003e — CLV model trained on your customer cohorts with segmentation and scoring applied\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFirst Delivery (End of Month 1)\u003c\/strong\u003e — Full CLV segment report, acquisition quality scores, and churn risk flags\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOngoing Monthly Cadence\u003c\/strong\u003e — Model refreshed with new transaction data; updated segment reports and recommendations delivered\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch2\u003eSubscription Details\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBilled monthly at AED 22,000 \/ month\u003c\/li\u003e\n\u003cli\u003eMinimum 3-month engagement recommended for model accuracy\u003c\/li\u003e\n\u003cli\u003eFully digital delivery — no physical product shipped\u003c\/li\u003e\n\u003cli\u003eOnboarding begins within 1 business day of subscription confirmation\u003c\/li\u003e\n\u003cli\u003eCancel anytime after the minimum term with 30 days written notice\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eWhat data do you need?\u003c\/strong\u003e\u003cbr\u003eWe require transaction history (order dates, order values, customer IDs) for a minimum of 12 months. CRM data and marketing channel data are optional but improve model accuracy significantly.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHow is this different from standard RFM analysis?\u003c\/strong\u003e\u003cbr\u003eRFM scores customers based on past behavior. Our CLV model forecasts future value using machine learning, giving you a forward-looking view to inform acquisition, retention, and upsell decisions.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCan we integrate this with our CRM or email platform?\u003c\/strong\u003e\u003cbr\u003eYes. CLV segments and scores can be exported and synced with major CRM and marketing automation platforms including Klaviyo, HubSpot, Salesforce, and others.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHow long until we see results?\u003c\/strong\u003e\u003cbr\u003eFirst model and segment report delivered end of Month 1. Model accuracy improves as more transaction data is added each month.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes this work for B2B businesses too?\u003c\/strong\u003e\u003cbr\u003eYes. The CLV model adapts to B2B account-level data, forecasting account value and renewal likelihood instead of individual purchase frequency.\u003c\/p\u003e","brand":"Consider Analytics","offers":[{"title":"Subscription-based","offer_id":46783133122749,"sku":null,"price":22000.0,"currency_code":"AED","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0772\/5681\/8877\/files\/consider-clv-mockup.png?v=1779183051"},{"product_id":"consider-marketing-cs","title":"Consider Marketing CS — Customer Segmentation Subscription","description":"\u003cp\u003e\u003cstrong\u003eStop marketing to everyone the same way. 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Minimum 6 months of data, 12+ months recommended.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHow many segments will we get?\u003c\/strong\u003e\u003cbr\u003eTypically 6–12 segments depending on your customer base size and purchase diversity. We optimize the number of segments for actionability, not just statistical fit.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCan we export segments for use in ad platforms?\u003c\/strong\u003e\u003cbr\u003eYes. Segment definitions and customer lists can be exported in formats compatible with Meta Custom Audiences, Google Customer Match, and Klaviyo\/HubSpot lists.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHow is this different from our CRM's built-in segmentation?\u003c\/strong\u003e\u003cbr\u003eCRM segmentation is typically rule-based and static. 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Built for ecommerce brands that want to increase average order value, reduce bounce rates, and maximize revenue from every customer visit through personalization that actually converts.\u003c\/p\u003e\u003ch2\u003eWho This Is For\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eEcommerce brands with a catalog of 50+ products looking to drive cross-sell and upsell revenue\u003c\/li\u003e\n\u003cli\u003eRetention and CRM teams building personalized email campaigns with product recommendation blocks\u003c\/li\u003e\n\u003cli\u003eMerchandising teams who want data-driven placement to replace manual curation\u003c\/li\u003e\n\u003cli\u003eGrowth teams focused on increasing average order value, repeat purchase rate, and session revenue\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWhat You Get Every Month\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Recommendation Models\u003c\/strong\u003e — Collaborative filtering and content-based models trained on your product catalog and customer purchase history\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOn-Site Recommendation Widgets\u003c\/strong\u003e — Product page, cart page, and homepage recommendation placements with real-time personalization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmail Recommendation Blocks\u003c\/strong\u003e — Personalized product grids for post-purchase, abandoned cart, and win-back email flows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSimilar Products Engine\u003c\/strong\u003e — \"You may also like\" and \"Frequently bought together\" modules powered by purchase co-occurrence data\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTrending and Bestseller Modules\u003c\/strong\u003e — Dynamic trending products by category, segment, or geography updated in real time\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eA\/B Testing Framework\u003c\/strong\u003e — Test recommendation placements, algorithms, and layouts to optimize lift\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMonthly Performance Report\u003c\/strong\u003e — Revenue attributed to recommendations, click-through rates, add-to-cart rates, and conversion lift\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey Outcomes\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIncrease average order value through relevant cross-sell and upsell recommendations at the right moment\u003c\/li\u003e\n\u003cli\u003eImprove repeat purchase rates by surfacing personalized product suggestions in post-purchase emails\u003c\/li\u003e\n\u003cli\u003eReduce bounce rates on product pages by keeping customers engaged with relevant suggestions\u003c\/li\u003e\n\u003cli\u003eReplace manual merchandising with AI-driven product placement that adapts to real purchase patterns\u003c\/li\u003e\n\u003cli\u003eMaximize revenue per session by turning every visit into a personalized discovery experience\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eHow It Works\u003c\/h2\u003e\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboarding (Week 1)\u003c\/strong\u003e — Product catalog integration and purchase history data connection; compatible with Shopify, WooCommerce, and custom platforms\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel Training (Weeks 2–3)\u003c\/strong\u003e — Recommendation models trained on your catalog and transaction data; widget placement and design configured\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLaunch (End of Month 1)\u003c\/strong\u003e — Live recommendation widgets deployed; first performance baseline report delivered\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOngoing Monthly Cadence\u003c\/strong\u003e — Models retrained with new purchase data; A\/B tests run; performance report delivered monthly\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch2\u003eSubscription Details\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBilled monthly at AED 25,000 \/ month\u003c\/li\u003e\n\u003cli\u003eMinimum 3-month engagement recommended for model maturity\u003c\/li\u003e\n\u003cli\u003eFully digital delivery — no physical product shipped\u003c\/li\u003e\n\u003cli\u003eOnboarding begins within 1 business day of subscription confirmation\u003c\/li\u003e\n\u003cli\u003eCancel anytime after the minimum term with 30 days written notice\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eWhat platforms does this work with?\u003c\/strong\u003e\u003cbr\u003eWe integrate natively with Shopify and support WooCommerce and custom ecommerce platforms via API. Integration typically takes 3–5 business days.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHow much product data do you need?\u003c\/strong\u003e\u003cbr\u003eWe need your full product catalog and a minimum of 3 months of purchase history. Larger catalogs and longer history windows produce more accurate recommendations.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCan recommendations be customized by category or segment?\u003c\/strong\u003e\u003cbr\u003eYes. We support segment-level personalization, category-specific recommendation zones, and rule-based overrides for promotions or merchandising priorities.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHow do you measure recommendation performance?\u003c\/strong\u003e\u003cbr\u003eWe track recommendation click-through rate, add-to-cart rate from recommendations, revenue attributed to recommendation touchpoints, and AOV lift compared to non-recommended sessions.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCan this integrate with our email platform?\u003c\/strong\u003e\u003cbr\u003eYes. 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