The DataKnobs E-commerce Analysis Agent connects product, traffic, funnel, purchase, and post-purchase usage signals. It explains what changed, why it matters financially, and which action to take next.
Commerce intelligence
AI finding
High-intent visitors engage with the category, but checkout conversion falls after shipping cost appears. Buyers shown a bundle earlier have higher order value and stronger 30-day repeat behavior.
Top driver
Shipping
Best lever
Bundles
Next step
A/B test
Revenue by group
Journey alert
The problem
The DataKnobs solution
How it works
The agent follows the analytical path a strong cross-functional team would use—continuously and consistently.
Ingest traffic, product views, cart events, checkout, purchases, catalog attributes, campaigns, returns, and usage.
Compare products, cohorts, channels, journey stages, and time periods to locate meaningful patterns and friction.
Turn observations into grounded findings tied to conversion, revenue, margin, retention, and customer value.
Prioritize changes to pricing, bundles, merchandising, checkout, onboarding, and lifecycle journeys.
Capabilities
Ask business questions in plain language and receive a structured answer with supporting evidence, impact, confidence, and recommended next steps.
See which products drive attention, conversion, revenue, margin, repeat purchase, and engagement—and which underperform despite visibility.
Trace movement from acquisition to product detail, cart, checkout, purchase, activation, and repeat behavior.
Compare first-time, repeat, bundled, discounted, subscribed, activated, and at-risk cohorts after purchase.
Connect behavior to revenue, margin, average order value, acquisition efficiency, returns, repeat rate, and lifetime value.
Generate prioritized ideas for pricing, bundles, placement, promotions, content, checkout, onboarding, and lifecycle programs.
Turn recommendations into hypotheses with target segments, success metrics, guardrails, and expected outcomes.
Example output
Each response separates observation, evidence, business impact, recommended action, and the measurement plan.
Business insight payload
Executive view
Experiment handoff
Package the test audience, variants, primary metric, margin guardrail, duration, and decision rule for DataKnobs Knobs or your existing experimentation stack.
Where it creates value
The agent presents the same underlying commerce evidence through role-relevant questions and outcomes.
Growth
Diagnose channel, landing-page, product-page, cart, and checkout friction by segment.
Product
Connect what customers buy with activation, engagement, support, and repeat behavior.
Merchandising
Find hero products, attach-rate opportunities, weak placements, and promotion-sensitive items.
Finance
Identify journeys, offers, products, and cohorts that improve profitable revenue and lifetime value.
Business outcomes
Answers without manual report assembly
Drivers behind product and funnel outcomes
Pricing, bundle, and placement decisions
Recommendations with evidence and guardrails
Insight, action, test, and learning
Start with a focused pilot
Use a priority product category or customer journey to surface high-impact findings, quantify value leakage, and produce an action plan your team can test.