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Product Teams Need to Know What Actually Creates High-Value Buyers
With AI Insights by OWOX, product teams uncover the journeys, interactions, and friction points that shape their best customers – delivered straight into the tools they use.
Trusted by the best teams on the planet
Product Teams Measure Success by These Value-Driven KPIs
Every UX improvement should raise customer value, not just clicks
15–25%
Reduction in Checkout Friction
Eliminate blockers that cause high-intent users to abandon their first purchase.
>40%
Deep PDP Engagement
Encourage richer interaction with content blocks that increase AOV and repeat rate.
30–40%
High-Value Action Adoption
Grow engagement with PDP, comparison, and filter actions tied to high-quality buyers
5–15%
Experiment Value Uplift
Make sure new variants improve downstream LTV and retention – not just conversions
>20%
High-LTV Path Completion
Ensure more users follow the journeys that predict strong long-term value
What Product Teams Handle Every Day When Selling Goods
Turning visitors into profitable, long-term buyers starts with the right product experience.
Map and Improve the First-Order Journey
Understand how new visitors explore, evaluate, and build trust before purchasing.
Uncover High-Value Behaviors
Identify PDP interactions, search patterns, and content blocks that raise customer value.
Validate Experiments Beyond First Order
Look past quick conversion wins and evaluate downstream customer value
Prioritize Fixes That Matter Most
Focus on friction points that cost high-LTV customers – not just the ones that get complaints.
What Gets in the Way of Creating High-Value Buyers
Your best customers don’t follow simple funnels – and your tools don’t show the full picture
Linear Funnels Miss the Real Story
Traditional journey tools can’t show non-linear paths taken by high-value buyers.
No Clarity on Early Value Signals
You can't see which early actions predict high-LTV outcomes.
Hidden High-Impact Interactions
Underrated interactions that drive value often get ignored.
Friction Points Stay Undetected
You don’t know where high-intent buyers get stuck in checkout.
False Wins in Experiments
A/B tests can “win” on conversion but destroy long-term value
See How Product Teams Turn Behavior Data Into Action
Every AI Insight starts with a familiar challenge – and ends with a faster decision
High-LTV Path Finder
Context: Product teams want to design experiences that lead more users toward high-value outcomes.
Problem: High-value buyers don’t follow linear funnels – and their paths are invisible in traditional analytics.
💬 High-LTV buyers often explore 4–7 PDPs, compare categories, and use filters before purchasing. Prioritize these winning paths.
Buyers’ Value Lens
Context: Early user behavior strongly predicts long-term customer value.
Problem: Product teams can’t tell which early actions signal that a visitor will become a high-value buyer.
💬 High-value buyers scroll deeper on PDPs and engage more with reviews and recommendation blocks – highlight these elements earlier.
Impact Hunter
Context: Some interactions drive large revenue lifts even with low usage.
Problem: Product teams focus on popular features instead of those that drive quality revenue.
💬 Complete the Look’ and product video interactions correlate with a 25%+ AOV lift – promote these high-impact UX elements.
Paths to Fix
Context: Friction points push away your most valuable buyers.
Problem: Checkout issues and micro-frictions hurt high-LTV conversions disproportionately.
💬 Users with $150+ carts abandon most at promo code failure and shipping step delays – fix these for the biggest revenue impact.
Value Guard
Context: Experiments that boost conversions can accidentally lower long-term value.
Problem: Product teams celebrate early wins but miss downstream LTV losses.
💬 Your ‘winning’ variant raised conversions but decreased 90-day LTV by 12% – the discount created low-quality buyers.
Make Every Product Decision Count
Bring governed AI insights to the teams shaping your customers’ experience – directly from your data warehouse. No setup hassle. Your first AI Insight can start delivering value the same day.