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Sarah Chen
sarah@company.com
FR #19 · Sticky CTA bar on mobile
Checkout Completion RateConversion
Conclusive
Control
3.21%
n = 842
Variation 1
3.37%
n = 856vs Control: +4.98%
P(B > A)
96.1%
ModelBeta-Binomial
HDI 95%[+1.20%, +8.80%]
Revenue per VisitorRevenue
Conclusive
Control
€1.84
n = 842
Variation 1
€1.97
n = 856vs Control: +7.07%
P(B > A)
93.2%
ModelLog-Normal
HDI 95%[+0.90%, +13.40%]
Add to Cart RateConversion
Continue Testing
Control
8.14%
n = 842
Variation 1
8.52%
n = 856vs Control: +4.67%
P(B > A)
88.4%
ModelBeta-Binomial
HDI 95%[-1.10%, +10.60%]
Bounce RateConversion
Continue Testing
Control
42.3%
n = 842
Variation 1
39.8%
n = 856vs Control: -5.91%
P(B > A)
91.7%
ModelBeta-Binomial
HDI 95%[-11.20%, +0.40%]
Average Order ValueRevenue
Continue Testing
Control
€57.20
n = 842
Variation 1
€58.40
n = 856vs Control: +2.10%
P(B > A)
64.3%
ModelLog-Normal
HDI 95%[-4.80%, +9.20%]
SummaryAsk AI
ExperimentFR #19
Duration12/02/2026 → 28/03/2026
Sample1,698 users
Primary KPICheckout Completion
ResultDeploy

Trusted by CRO teams at

DoctolibManoManoVestiaire CollectiveBack MarketContentSquareAB Tasty
Integrated Tool

Your current stack
doesn't compound.

Most CRO teams stitch together eight to twelve disconnected tools: hypothesis tracking in Notion, stats in Excel, reporting in PowerPoint. Sledder replaces the entire stack with a single pipeline where every experiment feeds the next.

NotionGoogle AnalyticsExcelVWOAmplitudePowerPointOptimizelyMixpanelFigmaJiraSlackConfluenceTableauAirtableLookerMiroGoogle SheetsSegment
◈ Sledder
Ship faster

Experimentation Pipeline

From idea to structured experiment in minutes. Lens browses your product and competitors to surface prioritized hypotheses. AI selects KPIs, defines success criteria, and writes the test brief.

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Decide with confidence

Statistical Engine

Sledder selects the right model automatically, calibrated to your metric type, distribution, and test history. Empirical priors learned from past experiments sharpen every new verdict over time.

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Communicate impact

Narrative Intelligence

AI reads your full test context (hypothesis, segments, market, and prior results from the same optimization path) and writes a structured executive narrative ready for PDF or PPTX export.

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Compound learnings

Living Graph

Every concluded test generates structured learnings and AI-suggested next steps. Visualize the full lineage of your program as a connected, searchable knowledge graph that grows with every test.

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What changes when everything connects.

10×
Faster experiment setup
vs. manual process
< 30s
From data to verdict
Full analysis pipeline
2
Statistical engines
Bayesian & Frequentist
4×
More tests per quarter
Reported by early teams

Your experimentation workflow, reimagined.

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