Test fast. Ship winners faster.
Experiments share profiles and segments with journeys. Winners ship as personalized experiences in one click.
Control
4.2%
Variant A
5.8%
Variant B
5.1%
12
Active tests
68%
Win rate
+$184k
Revenue lift
BLU
Variant A reached 94% confidence. Ship as personalization rule for high-fit users in one click.
One dashboard for the entire experimentation program
See every active experiment, its status, primary metric, and estimated revenue impact in one view. No spreadsheet, no vendor dashboard per team — one program overview.
Ask BluExperimentation program showing strong ROI
Running 12 active experiments with 4 showing statistical significance. Shipped experiments contributed an estimated +$34K/month in incremental revenue. Video creative tests outperforming static by 2.1x on conversion rat
$139,142.86
Total revenue ⓘ
↑ 1.5% vs. previous period
$48,700.00
Intempt Attributed Revenue (35.00% of total) ⓘ
↑ 0.9% vs. previous period
INTEMPT ATTRIBUTED REVENUE
Per experience ⓘ
$6957.14
All Experiences ⓘ
$48.7K
100.00%
Personalization ⓘ
$21.8K
44.76%
Experiments ⓘ
$26.9K
55.24%
| Name ⓘ | Status ⓘ | Duration ⓘ | Type ⓘ | Created by ⓘ | Last updated ↓ | |
|---|---|---|---|---|---|---|
Homepage Hero A/B Test 95% CICUPEDSequential TestingBenjamini-Hochberg | Active | 13 days | Experiment | SJSarah Johnson | Jun 11, 2025 |
Every experiment, every team, one program view.
Program-level ROI dashboard
See the aggregate revenue lift, experiments shipped, and win rate across the entire program — not just the test you're currently running.
Active test monitoring
Every running experiment shows current sample size, primary metric trend, guardrail status, and estimated time to significance.
Experiment history and learnings
Winning and losing results are stored with the hypothesis, audience, and outcome — searchable across the full program history.
Team and product area views
Filter the program dashboard by team, feature area, or experiment type so every stakeholder sees only what's relevant to them.
Most teams see 3–5x more experiments shipped per quarter when the full program is visible in one dashboard.
Real-time results with statistical confidence
MSPRT always-valid statistics let you check results at any time without inflating false-positive rates. CUPED variance reduction means you reach significance faster with the same traffic.
HYPOTHESIS
Revamping the Product Detail Page to improve layout, visual hierarchy, and highlight key information (e.g., price, reviews, shipping) will increase user engagement and drive higher conversion rates compared to the existing PDP design.
BLU SUMMARYMixed results with significant CVR gains
Video Ads Creative shows +43.4% lift in Conversion Rate (p < 0.001) with statistical significance. However, this comes with a -10.1% decrease in Visitors. The net impact on revenue is estimated at +$12.4K/month if shipped.
KEY TAKEAWAYS
Significant CVR lift (+43.4%) but visitor count declined by -10.1%
Net revenue impact estimated at +$12.4K/month if shipped
Statistical significance achieved (p < 0.001) on primary metric
Cumulative Users & Impressions
6,450
Cumulative Users ⓘ
15,800
Total Impressions ⓘ
Always-valid stats. No peeking penalty.
MSPRT always-valid testing
Sequential testing means you can check results at any time without inflating false-positive rates. No fixed sample size required upfront.
CUPED variance reduction
Pre-experiment covariate adjustment reduces variance by 20–50%, meaning you reach significance faster with the same traffic volume.
Guardrail metrics
Define guardrail metrics alongside your primary goal. If a guardrail is violated, the experiment is flagged automatically before it ships.
Multi-metric dashboards
See primary metric, secondary metrics, and guardrails in one chart with confidence intervals and significance indicators.
Teams using CUPED + MSPRT typically ship winners 30–40% faster than frequentist-only setups.
From experiment summary to ship decision in one click
When an experiment reaches significance, Blu summarizes the result, flags guardrail violations, and lets you ship the winner as a personalization rule or journey branch in one click.
SETUP & STATUS
HYPOTHESIS
Revamping the Product Detail Page to improve layout, visual hierarchy, and highlight key information (e.g., price, reviews, shipping) will increase user engagement and drive higher conversion rates compared to the existing PDP design.
BLU SUMMARYShip Video Ads Creative
Significant lift on 5/7 metrics, including the primary metric [purchase_event (event_count)]: +9.8%. Shipping to 100% of traffic projects a +9.8% lift. Estimated ~2,100 additional purchases/month based on current traffic of ~4,800/month.
KEY TAKEAWAYS
Significant lift on 5/7 metrics including the primary metric
Net revenue impact estimated at +$12.4K/month if shipped
Statistical significance achieved (p < 0.001) on primary metric
Primary Metrics
From winner to shipped personalization, without engineering.
Plain-language result summary
Blu explains what happened, why, and whether the result is reliable — in language your whole team can act on.
Guardrail violation flags
If the winning variant violated a guardrail metric, Blu surfaces it before you ship so you don't accidentally harm a secondary goal.
One-click ship as personalization
Ship the winner as a personalization rule targeting the same audience — no engineering ticket, no separate tool.
Automatic holdout group
A holdout is maintained automatically so you can measure the true long-term lift of the shipped winner over time.
Most teams go from experiment summary to shipped personalization in under 5 minutes.
Ask Blu anything about your experiments
Type a question or invoke a skill. Blu reads results, scores opportunities, and recommends what to ship.
▎How it works
From hypothesis to shipped winner, in days not weeks
SOURCES
JavaScript
Track events from web applications
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Node JS
Server-side event tracking
iOS
Mobile analytics for iOS
Android
Mobile analytics for Android
▎Step 01
Connect your sources
Server-side and client-side events land in the same unified profile. No separate instrumentation for experimentation — use the events you already track.
▎Step 02
Set primary metric, guardrails, audience, and CUPED
Configure your experiment in one form: primary metric, guardrail metrics, target audience from shared segments, and CUPED covariate for faster results.
▎Step 03
Read the winner, ship as personalization
Results update live. When significance is reached, Blu summarizes the result, flags guardrails, and lets you ship the winner as a personalization rule in one click.
Real results, not just tech
We drive measurable outcomes in the first 90 days. Beyond the platform.
“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.
▎Why teams switch
Intempt vs the testing patchwork
Most teams stitch Optimizely or VWO with a CDP. Here's the side-by-side.
▎Pricing
MTU-based pricing. No per-experiment fees.
No per-experiment fees. No traffic caps on Pro and above. One platform replaces 3–4 tools.
Explore more products
Everything else that turns behavior into revenue.
Stop debating winners. Start shipping them.
Connect your sources in minutes. Run your first always-valid experiment by tomorrow.
Experiment questions, answered
Frequently asked questions
Everything teams ask before replacing their testing stack.
Intempt supports A/B tests, multivariate tests, multi-page experiments, Champion/Challenger tests, and server-side experiments. You can test UI changes, copy, pricing, feature flags, and backend logic from the same platform.
Intempt uses MSPRT (mixture sequential probability ratio test) for always-valid testing, meaning you can check results at any time without inflating false-positive rates. CUPED variance reduction helps you reach significance faster with the same traffic.
Yes. Experiment audiences use the same shared segments as your journeys and personalizations. There is no audience sync required and targeting updates apply in real time as profile data changes.
When an experiment reaches significance, you can ship the winner as a personalization rule targeting the same audience in one click. No engineering ticket or separate tool required.
Experimentation tests whether a change improves a metric. Personalization applies the winning change to specific audiences permanently. In Intempt, the two are connected — you ship an experiment winner directly as a personalization rule.
No. Client-side experiments use the Intempt visual editor or a snippet. Server-side experiments use the Intempt SDK. Most teams launch their first experiment within a day of setup without a dedicated engineering sprint.
Yes. Intempt handles mutual exclusion and collision detection automatically. You can also group experiments into a program and define priority order.
MSPRT always-valid statistics allow you to check results at any time without the peeking problem that inflates false-positive rates in frequentist tests. You do not need to commit to a fixed sample size or wait until a predetermined end date.
You can use any event tracked in Intempt as a primary or guardrail metric. Common primary metrics include conversion rate, revenue per user, and feature adoption. Common guardrails include bounce rate, support volume, and page performance.
All experiment data, variant assignments, and results are encrypted at rest and in transit. Intempt is SOC 2 Type II certified and GDPR compliant. No experiment data leaves your contracted data region.