Consider Marketing RE — Recommendation Engine Subscription

Turn every product page into a personalized shopping experience that drives repeat purchase.

Consider Marketing RE is a subscription-based AI-powered Recommendation Engine service that delivers intelligent, real-time product suggestions across your ecommerce store. 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.

Who This Is For

• Ecommerce brands with a catalog of 50+ products looking to drive cross-sell and upsell revenue
• Retention and CRM teams building personalized email campaigns with product recommendation blocks
• Merchandising teams who want data-driven placement to replace manual curation
• Growth teams focused on increasing average order value, repeat purchase rate, and session revenue

What You Get Every Month

• AI Recommendation Models — Collaborative filtering and content-based models trained on your product catalog and customer purchase history
• On-Site Recommendation Widgets — Product page, cart page, and homepage recommendation placements with real-time personalization
• Email Recommendation Blocks — Personalized product grids for post-purchase, abandoned cart, and win-back email flows
• Similar Products Engine — "You may also like" and "Frequently bought together" modules powered by purchase co-occurrence data
• Trending and Bestseller Modules — Dynamic trending products by category, segment, or geography updated in real time
• A/B Testing Framework — Test recommendation placements, algorithms, and layouts to optimize lift
• Monthly Performance Report — Revenue attributed to recommendations, click-through rates, add-to-cart rates, and conversion lift

Key Outcomes

• Increase average order value through relevant cross-sell and upsell recommendations at the right moment
• Improve repeat purchase rates by surfacing personalized product suggestions in post-purchase emails
• Reduce bounce rates on product pages by keeping customers engaged with relevant suggestions
• Replace manual merchandising with AI-driven product placement that adapts to real purchase patterns
• Maximize revenue per session by turning every visit into a personalized discovery experience

How It Works

1. Onboarding (Week 1) — Product catalog integration and purchase history data connection; compatible with Shopify, WooCommerce, and custom platforms
2. Model Training (Weeks 2–3) — Recommendation models trained on your catalog and transaction data; widget placement and design configured
3. Launch (End of Month 1) — Live recommendation widgets deployed; first performance baseline report delivered
4. Ongoing Monthly Cadence — Models retrained with new purchase data; A/B tests run; performance report delivered monthly

Subscription Details

• Billed monthly at AED 25,000 / month
• Minimum 3-month engagement recommended for model maturity
• 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 platforms does this work with?
We integrate natively with Shopify and support WooCommerce and custom ecommerce platforms via API. Integration typically takes 3–5 business days.

How much product data do you need?
We need your full product catalog and a minimum of 3 months of purchase history. Larger catalogs and longer history windows produce more accurate recommendations.

Can recommendations be customized by category or segment?
Yes. We support segment-level personalization, category-specific recommendation zones, and rule-based overrides for promotions or merchandising priorities.

How do you measure recommendation performance?
We track recommendation click-through rate, add-to-cart rate from recommendations, revenue attributed to recommendation touchpoints, and AOV lift compared to non-recommended sessions.

Can this integrate with our email platform?
Yes. We provide recommendation blocks compatible with Klaviyo, HubSpot, Mailchimp, and custom email platforms via API or embeddable HTML blocks.