Show every visitor what they buy next.
Recommendations run on the same profiles and catalog as your journeys. No standalone tool, no ETL, no data sync.
Free forever. Scale with usage.
4.5ON G2
The right product, in the right place, at the right time
The right algorithm for every feed
Best sellers, similar items, frequently bought together, trending, personalized ranking. Configure the right model per placement, not one model for everything.
Catalog ingests itself. Always current.
Connect your store and product data flows in automatically. Title, price, status, inventory, attributes. No manual feed. No ETL pipeline to break.
Ask Blu what's working, and why
Surface feeds driving CTR and revenue, find under-performing placements, and get cross-sell strategies grounded in your actual purchase data.
One feed builder for every surface.
- Algorithm per placementBest sellers, trending, similar items, frequently bought together, or personalized ranking. The right model per slot, not one global model.
- Include, exclude, and pin filtersDrop out-of-stock items, hide already-purchased products, exclude categories, or pin promotional SKUs to specific slots.
- Graceful fallback chainsSet cascading fallbacks (Most Popular → Newest) so every visitor sees a relevant feed even with sparse behavioral data.
Homepage Best Sellers
PDP Similar Items
Category Trending
New Arrivals Feed
Feed name
Sorting strategy
Time range
"Most-loved picks — people can't get enough of these."
Best for: Homepage
Catalog syncs itself. Ships in minutes.
- Auto-sync product dataTitle, price, image, status, inventory, and custom attributes ingest from your store and stay current automatically.
- Only active SKUs serveDrafts and archived items are excluded automatically. No manual pruning of stale products from feeds.
- Custom attributes for filteringTag products with margin, brand, collection, or any attribute to power downstream filters and segmentation.
Blu · insight12 products synced · 4 active in feeds
2 draft items excluded from live feeds. Catalog last synced 2 min ago.
| Product | Price | Status | Updated | |
|---|---|---|---|---|
 | $99 | Draft | Oct 24, 2023 | |
 | $185 | Active | Nov 02, 2023 | |
 | $245 | Active | Dec 01, 2023 | |
 | $320 | Active | Jan 10, 2024 |
Know which feeds earn. Fix the rest fast.
- Feed performance insightsAsk Blu which placements drive the most revenue, where CTR is decaying, and what algorithm change to try next.
- Cross-sell strategy from real dataBundle and affinity suggestions grounded in your actual purchase co-occurrence, not generic people-also-bought patterns.
- Built-in lift measurementEvery feed tracks CTR, add-to-cart, and revenue against control. A/B test algorithms with the same statistical engine as your experiments.
Blu · insightHomepage feed drives 34% of total recommendation revenue
PDP similar items feed CTR is declining. Try switching to collaborative filtering for this placement.
| Product | Price | CTR | Revenue | |
|---|---|---|---|---|
| $99 | 4.2% | $2.1k | |
| $185 | 6.8% | $4.9k | |
| $245 | 5.1% | $3.7k | |
| $320 | 3.9% | $5.8k |
Ask Blu anything about your recommendations
Type a question or invoke a skill. Blu picks algorithms, builds cross-sell strategies, and finds feeds that are decaying.
From catalog to served feed, in minutes
Connect store and catalog
Add your store integration in minutes. Products, prices, and inventory ingest into the same data layer that powers profiles and journeys.
Product Sources
Shopify
Products · prices · inventory
BigCommerce
Catalog · variants · stock
Custom CSV
Upload · auto-map fields
Catalog API
Sync via REST · webhook
Build feeds with algorithms and filters
Pick a sorting strategy, set a time range, and add include / exclude / pin rules. Each placement gets the right algorithm.
Serve, measure lift, and iterate
Render feeds on web, email, or app. Track CTR, add-to-cart, and revenue per placement, and A/B test against control.
Works with your store, your email, and your app
Catalog and behavioral data flow in automatically. No middleware, no manual feeds.
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Unlimited feeds. No per-click fees. From $24/mo
No per-recommendation fees. No traffic caps on Pro and above. One platform replaces your recommendation engine, CDP, and email feed tool.
What most teams stitch together
- ✕Standalone recommendation engine (Nosto / Barilliance / Clerk.io), per-click or MTU pricing
- ✕Separate CDP for behavioral profile data, manual sync, always lagging
- ✕Separate email feed provider for dynamic email recommendations
- ✕Engineering time to maintain catalog syncs and fallback logic
What you get with Intempt Recommend
- ✓40+ recommendation algorithms, per-placement, not one global model
- ✓Catalog ingestion built in, auto-syncs from your store, no ETL
- ✓Include/exclude/pin filters and graceful fallback chains
- ✓Web, email, and app feeds from one configuration
- ✓Built-in lift measurement vs. control, same statistical engine as experiments
- ✓No per-recommendation fees, no traffic caps on Pro+
What our customers have to say
“We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim Stromberg, CEO
StockInvest
Case Study
StockInvest needed to turn anonymous traffic into registered users before any retention strategy could work. With Intempt's Experiences, they personalized the anonymous visitor flow, surfacing the right content and CTAs to boost signup conversion. Once users signed up, automated Journeys nurtured them through onboarding and deeper engagement, steadily increasing lifetime value.
Frequently asked questions
Intempt supports collaborative filtering (users who bought X also bought Y), content-based filtering (similar product attributes), trending and popular items, frequently bought together, and personalized rankings based on individual browsing and purchase history. You can configure a different algorithm per placement or let AI auto-select the best one.
Product pages, cart pages, homepage, category pages, search results, email campaigns, and post-purchase flows. Each placement uses a different algorithm and is independently personalized based on the viewer's live profile and context.
Yes. Exclude out-of-stock items, already-purchased products, specific categories, or products below a price threshold. Pin specific products to slots or boost items by margin, inventory, or promotional priority. Set fallback chains so feeds never run empty.
Every placement tracks impressions, CTR, add-to-cart rate, and attributed revenue. A/B test different algorithms against control with built-in statistical rigor, the same engine that powers your experiments.
Trending and popular feeds serve the same day catalog connects. Personalized recommendations improve as behavioral data accumulates, typically within days of deployment depending on traffic volume.
Connect your store via the same integration layer that powers profiles and journeys. Products, prices, inventory, and attributes flow in automatically and stay in sync as your store changes. No manual product feed. No ETL pipeline to maintain.
Yes. Recommendations share the unified profile and segment library with journeys, experiments, and personalization. A high-LTV segment in journeys is the same segment in recommendation feeds, no audience sync required.
Yes. Render personalized recommendation feeds inside email campaigns using the same algorithm, segment, and filter rules you use on-site. Each recipient gets a feed personalized to their live profile at send time.
Yes. Recommendations share the experimentation engine, lift is measured against control with the same statistical rigor as your other experiments. Test algorithm vs. algorithm, or feed configuration vs. control.
Recommendations run on the same unified profile as every other Intempt product, no separate data sync, no warehouse round-trip. Behavior, purchases, and consent all live in one place. SOC 2 Type II certified, encrypted at rest and in transit.
Show every visitor what they buy next.
Connect your catalog in 10 minutes. Serve your first personalized recommendation feed by tomorrow.
