How to turn product complexity into personal moments

Sid Chaudhary

Founder & CEO

Increase your customer's basket size and order volume with personalized recommendations.

About the Growth Play

Managing a catalog is one job; making it feel personal everywhere is the real work. This Growth Play shows how to use GrowthOS to map your feed, generate the right recommendation logic for each page and message, and measure lift. You'll go from raw SKUs to tailored suggestions on homepage, category, product, cart, and post-purchase and reuse the same logic in email, SMS, and push. The goal is simple: more relevant products, less setup.

TL;DR – GrowthOS for Merchandisers

Upload your catalog and map key fields (category, inventory, brand, price, tags).

Generate Recommendations from a library: bestsellers, trending, visitor-based, similar items, purchased together.

Match logic to context: homepage inspire, category focus, product alternatives/bundles, cart cross-sell, thank-you upsell.

Reuse the same blocks in Journeys (email/SMS/push) and Experiences (on-site/in-app).

Personalize by audience or behavior without custom code.

Test layouts and compare performance in campaign analytics.

Benefits

Lift AOV and conversion: Show items that make sense for the moment.

One setup, many surfaces: Website and messages share the same recommendation logic.

Move fast without devs: Drag, drop, deploy; iterate in minutes.

Stay in control: Include/exclude rules, inventory awareness, margin filters.

See real impact: Track clicks, adds, orders, and lift vs. control.

How It Works

Step 1: Upload and map your catalog

Step 2: Pick recommendation logic by context

Homepage: bestsellers, most popular, newest; switch to visitor-based if history exists.

Category: top sellers and trending within the current category.

Product: similar items (style/color/price) and purchased together bundles.

Cart: cross-sell from what's already in basket; last-minute add-ons.

Thank-you: purchased-with sets or upsells guided by margin/loyalty.

Step 3: Activate in Journeys

Step 4: Bring it to the site with Experiences

Step 5: Measure and iterate

Good to Know

Keep fields clean and typed; refresh inventory on a reliable cadence.

Set fallbacks for out-of-stock and cold-start visitors.

Cap repeats to avoid "recommendation fatigue."

Align rules with business goals (margin, seasonality, brand priorities).

Use the same audiences across site and messages to stay consistent.

Frequently asked questions. Answered.

You can map: product ID, category, brand, price, tags, images, and inventory status. Keep product IDs stable over time so tracking and bundle logic don't break when you update your feed. The cleaner your field typing and the more consistent your refresh cadence, the better your recommendations will perform.

Homepage: bestsellers, most popular, or newest to inspire browsing (switch to visitor-based if they have history). Category pages: top sellers and trending within that category. Product pages: similar items by style, color, or price, plus purchased-together bundles. Cart: cross-sells based on what's already in the basket. Thank-you page: purchased-with sets or margin-guided upsells.

Yes. Once you set up recommendation logic, you can drop the same product blocks into email, SMS, and push through Journeys. Each message adapts per user, so suggestions stay relevant without you rebuilding logic for each channel. One setup, many surfaces.

Cap repeats to avoid recommendation fatigue. Set rules that limit how often the same item appears across sessions or across different recommendation blocks on the same page. Fresh suggestions keep users engaged instead of making them feel like they're seeing the same products everywhere.

Yes. You can apply include/exclude rules, margin filters, and brand priorities to any recommendation logic. Want to push higher-margin items in cart cross-sells? Filter for margin threshold. Running a seasonal campaign? Prioritize specific categories or tags. The rules align recommendations with what matters to the business, not just what the algorithm suggests.

Use Experiences to drag and drop recommendation blocks onto your pages. Target them to specific audiences (returning shoppers, cart abandoners, loyalty cohorts) and customize the layout. Run A/B tests on different placements or designs. No code required, iterate in minutes.

Set up A/B tests in Experiences comparing different variants. Test layout changes (grid vs. carousel), different recommendation algorithms (similar items vs. purchased together), or placement on the page. Campaign analytics show clicks, adds to cart, orders, and lift versus control so you can see what actually drives results.

Thanks for reading till the end. Here are 3 ways we can help you grow your business:

Boost growth with proven growth plays

Explore our Growth Play Library, filled with actionable growth tactics and step-by-step guides to unlock your app's potential.

Check out Growth Play Library

Create a free GrowthOS account

Create a free GrowthOS account and get started on the journey to grow your app.

Get started free on GrowthOS

Get advice from a Growth expert

Schedule a personalized discovery call with our founder to explore how GrowthOS can help you grow your business.

Subscribe to The Full Stack Marketer Growth Plays

Zero theory or mindset discussions here; just actionable marketing tactics that will grow revenue today.