The traffic is there. Conversion isn't
Conversion rate optimization and A/B testing on one behavioral data layer.
0.0on G2Most CRO programs stall on velocity
Test velocity is the single best predictor of a testing program's long-term success, and most teams run one or two experiments a month while their queue waits on developers.
Run 3× more experiments.
The bottleneck is not ideas, it is test velocity. A visual editor and CUPED variance reduction let non-technical teams conclude experiments in days.
- A visual editor handles any on-site change without code
- CUPED cuts time to significance by 40-50%
- Sequential testing prevents false positives from early peeking
Segment-specific testing.
A test aimed at trial users from paid social does not belong in front of all your traffic. Segment experiments down to any audience and find the winner for each.
- Segment experiments by source, behavior, plan or attribute
- Holdout controls for an accurate baseline
- Subgroup analysis surfaces segment winners inside a flat global test
Promote winners to personalization.
A clear winner does not go back to a backlog. It becomes a personalization rule for the segment it won for, in one click, with rollback available if it looks wrong.
- One-click promotion from experiment winner to personalization rule
- Segment-specific rules from segment-specific results
- Full version history and one-click rollback
What experimentation platforms cost (2026)
| Tool | Entry price | Fit |
|---|---|---|
| VWO | ~$314/mo (Growth) | The operator default; testing plus heatmaps and recordings |
| Optimizely | ~$63,700/yr | Enterprise; roughly 5× VWO at entry |
| Statsig | Free tier | Server-side, engineering-led |
| AB Tasty / Convert | Mid-market | Testing plus personalization |
Only 12% of test ideas produce a statistically significant positive result, across an Optimizely analysis of more than 127,000 experiments. The other 88% are changes teams would have shipped anyway without knowing they did nothing. That is the argument for velocity: you cannot pick the 12% in advance, you can only run enough tests to find them.
Most teams run one or two experiments a month, under 30 a year. A common velocity target is four or more per month. On traffic: CUPED uses pre-experiment behavioral data to reduce variance and cuts time to significance by 40-50%. A working baseline is 1,000 unique visitors per variant per week; below that, personalization rules beat testing because significance arrives after the result is stale.
Sources: Optimizely analysis of 127,000+ experiments · Invesp on testing velocity · vendor pricing pages 2026.
Explore more ways Intempt drives revenue.
Connected outcomes across the platform.
In the words of50+ live tenants.
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
CRO is the practice of increasing the share of visitors who complete a target action, usually through experimentation and personalization. In practice most CRO programs stall on test velocity rather than ideas, which is why time-to-significance matters more than the size of your test backlog.
Test faster on the traffic you have.
Connect your site. Your first experiment can be live in the same session, and the winner becomes a permanent rule without waiting on a deploy.