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Intempt
Experimentation

You can't optimize what you're not testing.

Intempt runs web, mobile, and server-side tests with CUPED variance reduction, cutting time to statistical significance so you can run 3x more tests per quarter on the same traffic.

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Test more. Learn faster. Win permanently.

From hypothesis to personalization rule, without a developer.

No-code A/B test setup with a visual editor.

  • Point-and-click variant creation for any page elementClick on a hero, banner, CTA, or form. Set what variant B looks like. Launch. No code required.
  • Traffic split and holdout group controlsSet exact traffic percentages per variant. Hold out a clean control group for accurate baseline measurement.
  • Preview variants before launch across device sizesSee exactly what each variant looks like on desktop and mobile before a single visitor sees it.
BluBlu · insight

Experimentation program showing strong ROI

Running 12 active experiments with 4 showing statistical significance. Shipped experiments contributed an estimated +$34K/month in incremental revenue.

Analyze resultsOptimization ideasImpact assessment

$139,142.86

Total revenue

↑ 1.5% vs. previous period

Mar 16Apr 1Apr 14

$48,700.00

Intempt Attributed Revenue (35.00%)

↑ 0.9% vs. previous period

Mar 16Apr 1Apr 14
10 experiences
NameStatusDurationTypeCreated byLast updated ↓

Homepage Hero A/B Test

95% CICUPEDSequential TestingBenjamini-Hochberg
Active13 daysExperiment
SJSarah Johnson
Jun 11, 2025

Reach significance faster on the same traffic.

  • CUPED applied automatically to all eligible experimentsPre-experiment behavioral data reduces variance, cutting time to significance by 40 to 50% without inflating false positive rates.
  • Faster time to significance without compromising statistical rigorMore tests concluded per quarter without lowering the bar. Velocity without compromise.
  • Sequential testing mode to avoid peeking inflationCheck results any time without biasing toward false positives. Sequential testing handles the math.

HYPOTHESIS

Revamping the Product Detail Page to improve layout, visual hierarchy, and highlight key information will increase user engagement and drive higher conversion rates compared to the existing PDP design.

BluBlu · summary

Mixed 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. Net revenue impact: +$12.4K/month if shipped.

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

Static (3,225)Video (3,225)

15,800

Total Impressions

Test deeper than just the UI.

  • Choose API for server-side experiment assignmentTest pricing, feature access, recommendation logic, and backend behavior with the same statistical rigor as front-end tests.
  • Mobile A/B tests for iOS and AndroidNative mobile SDKs for iOS and Android let you run experiments in your app without a new release.
  • SDK-level experimentation for native app experiencesAssign variants server-side, render client-side. The assignment logic stays where it belongs.
Experiences/Spring Promo Experiment

SETUP & STATUS

DecisionIn Progress
TargetingNorth America Targeting
Static Ads CreativeControl74.95K (50.1%)
Video Ads Creative74.6K (49.9%)
BluBlu · summary

Ship Video Ads Creative

Significant lift on 5/7 metrics, including the primary metric: +9.8%. Shipping to 100% of traffic projects a +9.8% lift. Estimated ~2,100 additional purchases/month.

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

Comparerelative to
CI 95% : α = 0.05CUPED : YesSequential Testing : YesBH : On

Primary Metrics

1.purchase_event (event_count)
Best
+9.8%
2.purchase_event (event_dau)

Use cases built for the metrics that matter.

Three outcomes experiment teams measure from day one.

Conversion rate optimization through A/B testing

What our customers have to say

Jim Stromberg
StockInvest
01 / 03
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

With CUPED, significantly less than standard tools. We recommend at least 1,000 unique visitors per variant per week as a starting baseline.

Yes. Intempt supports iOS and Android experiments with native mobile SDKs.

Experiments test to find a winner with statistical confidence. Personalize delivers the right experience permanently, no holdout groups, no winner/loser logic. In Intempt, the two are connected: a test winner becomes a personalization rule in one click.

Yes. Web multivariate tests are supported alongside standard two-variant A/B tests.

Your first test, live this week.

Set up your first A/B test with no code. Results in days, not months, with CUPED on every experiment.

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