Consider Marketing CLV — Customer Lifetime Value Subscription

Know which customers are worth keeping — and what it costs to lose them.

Consider 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.

Who This Is For

• Ecommerce and retail brands with a repeat purchase customer base
• Marketing teams optimizing acquisition spend by customer quality, not just conversion volume
• CRM and retention teams building loyalty, win-back, and upsell programs
• CMOs and CFOs who need to connect marketing investment to long-term revenue, not just last-click ROI

What You Get Every Month

• Predictive CLV Model — ML-powered model forecasting 12, 24, and 36-month customer value based on your historical transaction data
• Customer Value Segmentation — Automated tiering of your customer base into high, mid, and low CLV segments
• Acquisition Quality Scoring — Rank channels and campaigns by the average CLV of the customers they acquire, not just CPA
• Churn Risk Identification — Flag high-value customers at risk of lapsing so retention teams can act early
• Upsell and Retention Opportunity Reports — Identify segments most likely to respond to loyalty, upsell, and re-engagement programs
• Monthly CLV Dashboard Report — Executive-ready summary of value shifts, segment movements, and recommended actions
• Dedicated Analyst Access — Direct line to your Consider Analytics team for strategic guidance

Key Outcomes

• Shift acquisition budget toward channels that bring in your highest-value customers
• Reduce churn by identifying at-risk high-CLV customers before they lapse
• Improve CRM targeting by personalizing outreach based on predicted future value
• Connect marketing spend to long-term revenue, not just first-order metrics
• Build a stable, profitable customer base instead of chasing volume

How It Works

1. Onboarding (Week 1) — Connect your transaction data, CRM, and channel data; minimum 12 months of purchase history required
2. Model Build (Weeks 2–3) — CLV model trained on your customer cohorts with segmentation and scoring applied
3. First Delivery (End of Month 1) — Full CLV segment report, acquisition quality scores, and churn risk flags
4. Ongoing Monthly Cadence — Model refreshed with new transaction data; updated segment reports and recommendations delivered

Subscription Details

• Billed monthly at AED 22,000 / month
• Minimum 3-month engagement recommended for model accuracy
• Fully digital delivery — no physical product shipped
• Onboarding begins within 1 business day of subscription confirmation
• Cancel anytime after the minimum term with 30 days written notice

Frequently Asked Questions

What data do you need?
We 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.

How is this different from standard RFM analysis?
RFM 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.

Can we integrate this with our CRM or email platform?
Yes. CLV segments and scores can be exported and synced with major CRM and marketing automation platforms including Klaviyo, HubSpot, Salesforce, and others.

How long until we see results?
First model and segment report delivered end of Month 1. Model accuracy improves as more transaction data is added each month.

Does this work for B2B businesses too?
Yes. The CLV model adapts to B2B account-level data, forecasting account value and renewal likelihood instead of individual purchase frequency.