The opportunity
Revenue alone cannot explain whether a store is getting healthier. Sales can grow because traffic increased while conversion weakened, or average order value can rise while refunds erase the gain. Store operators need a consistent view of the movements that created the result.
BizSidekick compares a complete period with an agreed baseline, drills into products and customer cohorts, and distinguishes observed facts from opportunities that require further testing.
How it works
- Select the store and comparison — Confirm the complete period, previous-period or year-over-year baseline, currency, and included order states.
- Read core commerce metrics — Pull sales, orders, conversion, average order value, discounts, refunds, and net sales.
- Inspect product contribution — Identify products and categories driving growth, decline, margin pressure, or refund risk.
- Inspect customer composition — Compare new and returning customers, repeat purchase, cohort value, and order frequency.
- Explain the movement — Connect traffic, conversion, order value, product mix, customer mix, and refund changes.
- Prioritize opportunities — Rank actions by evidence strength, potential impact, effort, and the data needed to validate them.
Safety boundary
Missing traffic, customer, product-cost, or refund data is shown explicitly. BizSidekick does not manufacture a conversion or profit metric from incomplete inputs.
Expected outcome
A store performance scorecard with evidence-backed growth opportunities and risks
Try this prompt
Paste it into ChatGPT to start this use case.
@BizSidekick Analyze my Shopify store for the last 30 complete days. Compare sales, orders, conversion, average order value, customer mix, products, and refunds with the previous period, then rank the most important opportunities.
