Customized email content that drives clicks
Personalize product, content, or deal recs in every campaign — dynamically selected at send-time for each user.
Solutions for every platform
Personalized blocks
Drop-in modules for “Featured for you,” “New for you,” and price-drop picks.
Always fresh
Items chosen at send-time with inventory, price, and recency checks.
ESP-friendly
Works with your existing ESP — no redesign of templates required.
Scale without limits
Keep recommendations fast, relevant, and cost-efficient as your goals grow, no re-engineering required.
Get started this week
Day 1
- Pick Templates
Select target campaigns and KPIs.
Days 2-3
- Connect Catalog & Content
Sync feeds and tracking.
Days 4-5
- Preview & QA
Validate segments and rules.
Days 6-7
- Go Live
Monitor CTR & revenue per send.
Plugs into your workflow
Integrate via API or batch. Keep your current analytics and experimentation setup, or use Shaped’s built-in tools for end-to-end measurement.
Engineered for production
Low-latency APIs, SDKs in your language, and enterprise-grade SLAs, documented and ready for engineering teams.
Build in-house with Shaped
Time to first experiment
6–12 months to build infra before testing ideas
~7 days to run your first experiment
Iteration speed
Slow — pipeline changes, retraining, and deployment cycles
Rapid — deploy and measure new experiments instantly
Team required
ML engineers, infra engineers, product, data science
1 engineer to integrate
Upfront cost
$500k–$1M+ in salaries & infra
Subscription pricing
Maintenance
Continuous tuning, scaling, bug fixes
Fully managed by Shaped
Cold start
Weeks or months to gather enough data
Solved from day one
Cross-surface learning
Siloed models per surface
One model that learns from every signal
Faster experimentation, proven KPI lift, and no infra burden, so your team can focus on what matters: shipping product, not pipelines.
Ship Personalized Email in one sprint
Step 1: Connect your data
All you need are user interactions and (optionally) item metadata. No complex data pipelines or feature engineering required.
Step 2: Configure your feed
Define your feed in minutes with a simple config—no custom ML models or tuning cycles. Shaped handles the hard parts for you.
Step 3: Deploy automatically
Shaped trains, schedules, and scales your feed to production. Your team ships in weeks, not months—without adding infra or ML hires.
One Model, Every Surface
Email performance compounds when it shares learning with feed, search, and cart. A unified model uses user, item, and event data from every touchpoint to pick the best content per recipient.
Explore other use cases:
- Baselines
Explore rule-based models like Popular, Trending, and Chronological rankings.
Learn More - Boosting
Learn how to promote specific items intelligently within personalized rankings.
Learn More - Cart Upsell & Cross-Sell
Boost AOV with intelligent upsell and cross-sell recommendations in the shopping cart.
Learn More - Conversational Recommenders
Building personalized conversational AI assistant experiences.
Learn More - "For You" Feeds
Build dynamic, personalized feeds like TikTok or Instagram Reels.
Learn More - Grid Ranking
Create personalized grids like Netflix with ranked rows and columns.
Learn More - Item Cold Start
Handle new items intelligently with attribute-aware ranking models.
Learn More - Who to Follow
Suggest relevant users to follow on social platforms or marketplaces.
Learn More - Category Pages
Re-rank items within categories based on user preferences.
Learn More - Email
Deliver personalized recommendations in email campaigns.
Learn More - Notifications
Send relevant, personalized notifications to engage users.
Learn More - Product Detail Pages
Show similar items on PDPs to keep users engaged.
Learn More - Product Recs
Build personalized product recommendations for e-commerce.
Learn More - Related Content
Keep users engaged with relevant related content suggestions.
Learn More - Item Reranking
Re-rank pre-selected items (e.g. from search) based on user preferences.
Learn More - Hybrid Search
Combine keyword search with personalized ranking for better results.
Learn More - Similar Users & Items
Find similar items or users for personalized recommendations.
Learn More - User Cold Start
Provide relevant recommendations for new or anonymous users.
Learn More - User Interest Ranking
Rank items based on user attributes, stated interests and session context.
Learn More - User & Item Embeddings
Leverage embeddings for advanced recommendation strategies.
Learn More - Watch Next Carousels
Suggest the perfect next video to keep users engaged.
Learn More
Ready to hit your growth goals?
Get a tailored walkthrough with your KPIs.