More revenue is already in your customer base. Go get it.
Intempt combines AI product recommendations and personalized lifecycle nudges to increase average order value without discounting your way to a worse margin.

Higher basket value. Without discounts.
AI recommendations and lifecycle nudges that move average order value from day one.
Show what they'll actually buy.
Intempt's recommendation engine reads every product view, cart add, and purchase to serve up the products each individual customer is most likely to buy next - in real time, for every placement.
- Collaborative filtering trained on your full catalog and behavioral history
- Real-time model updates as behavior changes during a session
- Purchased Together, Recently Viewed, User Affinity strategies per placement
Upsell at exactly the right second.
The highest-intent moment is the cart. Intempt triggers personalized upsell and cross-sell modules right when a customer has items in their basket, based on what's in the cart and what they've bought before.
- Cart event trigger for in-session personalization
- Complementary product logic by category and purchase history
- Bundle suggestions built from catalog relationships
The sale isn't the end.
A customer who just bought from you is your highest-intent lead for the next purchase. Intempt triggers a post-purchase journey that recommends the logical next product based on what they bought and where they are in the lifecycle.
- Purchase event trigger with recommendation-driven next message
- Replenishment journeys for consumable and repeat-purchase products
- LTV-segment-aware post-purchase cadence
Connect every trusted source.
Plug into the tools your team already runs on.
Certified & Compliant




Your customer data stays yours, and stays secure.
The teams that made the switch

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.
FAQ
Frequently asked questions
Results vary by catalog and traffic, but most customers see 8–20% AOV improvement within 60 days of enabling recommendations across on-site and email placements.* Industry benchmarks for AI-powered recommendations show 10–30% AOV lift (Barilliance, 2024; Nosto, 2025).
Your catalog has more value in it than you're capturing.
Connect your product catalog and start surfacing personalized recommendations in minutes. No data science. No engineering.