# 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 1. **Pick Templates** Select target campaigns and KPIs. ### Days 2-3 2. **Connect Catalog & Content** Sync feeds and tracking. ### Days 4-5 3. **Preview & QA** Validate segments and rules. ### Days 6-7 4. **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](https://docs.shaped.ai/docs/use_cases/baselines/) - **Boosting** Learn how to promote specific items intelligently within personalized rankings. [Learn More](https://docs.shaped.ai/docs/use_cases/boosting/) - **Cart Upsell & Cross-Sell** Boost AOV with intelligent upsell and cross-sell recommendations in the shopping cart. [Learn More](https://docs.shaped.ai/docs/use_cases/cart_upsell/) - **Conversational Recommenders** Building personalized conversational AI assistant experiences. [Learn More](https://docs.shaped.ai/docs/use_cases/conversational_recommenders/) - **"For You" Feeds** Build dynamic, personalized feeds like TikTok or Instagram Reels. [Learn More](https://docs.shaped.ai/docs/use_cases/feeds/) - **Grid Ranking** Create personalized grids like Netflix with ranked rows and columns. [Learn More](https://docs.shaped.ai/docs/use_cases/grid_ranking/) - **Item Cold Start** Handle new items intelligently with attribute-aware ranking models. [Learn More](https://docs.shaped.ai/docs/use_cases/item_cold_start/) - **Who to Follow** Suggest relevant users to follow on social platforms or marketplaces. [Learn More](https://docs.shaped.ai/docs/use_cases/people_to_follow/) - **Category Pages** Re-rank items within categories based on user preferences. [Learn More](https://docs.shaped.ai/docs/use_cases/personalized_category_pages/) - **Email** Deliver personalized recommendations in email campaigns. [Learn More](https://docs.shaped.ai/docs/use_cases/personalized_email/) - **Notifications** Send relevant, personalized notifications to engage users. [Learn More](https://docs.shaped.ai/docs/use_cases/personalized_notifications/) - **Product Detail Pages** Show similar items on PDPs to keep users engaged. [Learn More](https://docs.shaped.ai/docs/use_cases/product_detail_pages/) - **Product Recs** Build personalized product recommendations for e-commerce. [Learn More](https://docs.shaped.ai/docs/use_cases/product_recommendations/) - **Related Content** Keep users engaged with relevant related content suggestions. [Learn More](https://docs.shaped.ai/docs/use_cases/related_content/) - **Item Reranking** Re-rank pre-selected items (e.g. from search) based on user preferences. [Learn More](https://docs.shaped.ai/docs/use_cases/reranking/) - **Hybrid Search** Combine keyword search with personalized ranking for better results. [Learn More](https://docs.shaped.ai/docs/use_cases/search/) - **Similar Users & Items** Find similar items or users for personalized recommendations. [Learn More](https://docs.shaped.ai/docs/use_cases/similar_ranking/) - **User Cold Start** Provide relevant recommendations for new or anonymous users. [Learn More](https://docs.shaped.ai/docs/use_cases/user_cold_start/) - **User Interest Ranking** Rank items based on user attributes, stated interests and session context. [Learn More](https://docs.shaped.ai/docs/use_cases/user_interest_ranking/) - **User & Item Embeddings** Leverage embeddings for advanced recommendation strategies. [Learn More](https://docs.shaped.ai/docs/use_cases/user_item_embeddings/) - **Watch Next Carousels** Suggest the perfect next video to keep users engaged. [Learn More](https://docs.shaped.ai/docs/use_cases/what_to_watch_next/) ## Ready to hit your growth goals? Get a tailored walkthrough with your KPIs.