01 · Detect
See the next product opportunity
Spend less time stitching reports togetherAgents connect qualified funnel, revenue, margin, inventory, customer, and intent signals and surface an opportunity only when its evidence is ready.
NudgeX
Beta · Shopify review
AI-native Shopify conversion optimization
Find the leak. Make the move. Prove the revenue.
NudgeX finds product pages with meaningful shopper interest but weak conversion, separates observed facts from AI hypotheses, prepares one reversible improvement, and measures whether it generated incremental revenue.
Observed facts before AI hypotheses. Merchant approval before action. Measured revenue after every experiment.
Product-page signalHigh interest. Low add-to-cart action.
Evidence reviewProduct views2,840
Add-to-cart actions184
Evidence stateReady to inspect
Observed fact
This product’s view-to-cart event ratio trails qualified store peers for the selected period.
AI hypothesis
Missing fit guidance may be contributing to shopper hesitation.
Explanation is not proof · Merchant review required Proposed fit guidance ready to reviewInspect evidence
02 · Decide
Review one safe next move
Move from signal to a reviewable action fasterThe system uses bounded tools to assemble the evidence, hypothesis, and exact reversible change for merchant approval.
03 · Learn
Keep what earns its place
Know what to keep, refine, or roll backDynamic metrics, guardrails, and confounders stay visible after action so the next decision is based on qualified learning.
Product conversion optimization
Find the revenue leak worth fixing next.
NudgeX turns product-performance signals into one evidence-backed, merchant-approved experiment with a measurable commercial outcome.
01 · DetectFind the product revenue leak worth fixing next.
Focus on commercial impactCompare relevant product peers and prioritize opportunities where shopper demand, the performance gap, economic value, evidence quality, and safe actionability align.
02 · DiagnoseUnderstand the likely friction without confusing inference for fact.
Review evidence with confidenceInspect observed product and funnel evidence beside a clearly labelled AI hypothesis about information gaps, customer confidence, merchandising, or intent alignment.
03 · ProveMeasure whether one reversible change produced revenue.
Keep only what earns its placeApprove one bounded experiment, monitor its primary metric and guardrails, and decide to keep or roll back using qualified outcome evidence.
Observe → detect → diagnose → approve → measure → learn
One opportunity. One change. One outcome to prove.
NudgeX avoids generic recommendation lists. Every approved action begins with a specific conversion gap and ends with a keep-or-rollback decision.
Observe
Normalize available Shopify product and funnel signals.
Detect
Rank commercially meaningful conversion opportunities.
Diagnose
Separate observed facts from the strongest AI hypothesis.
Approve
Review the exact intervention, KPI, guardrails, and rollback.
Measure
Evaluate the primary outcome using comparable evidence.
Learn
Retain the result and conditions in Experiment Memory.
OpportunityHigh interest · Low add-to-cartPotential opportunity · $2,100 / month
Fit questions appear repeatedly and no fit guidance is present.
Sizing uncertainty may be suppressing add-to-cart action.
Proposed experimentAdd explicit fit guidance
Primary KPI · Add-to-cart rate
Guardrail · Return rate
Exact revision and rollback capturedReview experiment
Potential revenue opportunity
Estimated upside based on the qualified performance gap. It is not revenue generated.
Estimated incremental revenue
Uplift supported by the experiment or a defensible comparison, with evidence quality kept visible.
Attributed revenue
Revenue tied to a NudgeX-controlled experience without combining it with forecasts.
NudgeX, explained
What to know before your first experiment.
What does NudgeX optimize first?
The MVP focuses on product conversion optimization: finding products with meaningful shopper interest but weak commercial performance, diagnosing a plausible source of friction, and testing one low-risk improvement.
How does NudgeX decide what deserves attention?
It compares relevant product peers and scores the performance gap alongside demand, economic value, evidence strength, confidence, and whether a safe intervention is available.
Does NudgeX change my Shopify store automatically?
No. The merchant reviews the opportunity, evidence, AI hypothesis, exact proposed change, measurement plan, and guardrails before approving, editing, rejecting, or requesting an alternative.
What changes can NudgeX prepare?
The MVP is limited to reversible, low-risk product-content improvements such as fit guidance, clearer benefits, usage guidance, FAQs, attribute enrichment, and variant explanations. It does not autonomously change pricing, discounts, advertising, inventory purchases, refunds, or returns.
How does NudgeX measure success?
Every approved intervention becomes an experiment with a declared primary metric, supporting metrics, guardrails, and a rollback path. Possible results include winner, loser, inconclusive, guardrail violation, or insufficient data.
How does NudgeX report revenue impact?
It keeps potential opportunity, estimated incremental revenue, and directly attributed revenue separate so a forecast is never presented as revenue already generated.
Find the next conversion leak worth fixing.
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