SortLab
A/B Testing

Interpreting Results

Read SortLab A/B test revenue, units, confidence, days active, and winner state before applying a strategy.

When a test is running or complete, SortLab shows both variants side by side so you can decide whether the challenger deserves to become the collection's active strategy.

Result Fields

FieldMeaning
Control (A)The strategy that was active before the test started.
Challenger (B)The strategy configured during test creation.
RevenueProduct revenue attributed to each variant's active windows.
Units soldProduct units sold while each variant was active.
OrdersOrders attributed to the tested collection and variant window.
Days activeHow long each variant was active.
Revenue per dayRevenue normalized by active exposure time.
Units per dayUnit velocity normalized by active exposure time.
ConfidenceWhether the observed difference is likely to be real.

SortLab identifies the winner by revenue per day when the confidence threshold is high enough.

Reading Confidence

Confidence helps separate a real signal from normal traffic noise.

Confidence stateWhat to do
InsufficientKeep the test running. There is not enough data yet.
ModerateTreat the result as directional, not final.
GoodThere is a strong signal, but review business context.
SignificantThe evidence is strong enough to act on in most cases.

Above 95% confidence is generally considered statistically significant. Low-traffic collections may need longer tests to reach that level.

Decide What To Apply

  1. Check the winner and confidence. Do not rely on raw revenue alone.
  2. Compare revenue per day and units per day. These normalize for exposure time.
  3. Review the daily comparison. Look for consistent performance rather than one unusual spike.
  4. Consider business context. A strategy with slightly less revenue but better margin, inventory relief, or product launch exposure may still be useful.
  5. Apply the winner. If auto-apply winner was enabled, verify the final strategy on the collection. If it was disabled, apply the winning configuration manually.

When To Ignore or Re-run a Result

Re-run or disregard a test if:

  • A major sale, outage, campaign, or inventory event affected only part of the test.
  • Product membership changed substantially during the test.
  • A variant had too little active exposure.
  • Confidence never moved beyond weak signal after a reasonable duration.
  • The two strategies were too similar to create a measurable difference.

After Applying a Winner

After the winning strategy is active:

  • Check the collection's product preview and live storefront.
  • Watch the Analytics dashboard for revenue, orders, CTR, add-to-cart rate, and sort runs.
  • Document what worked so future collections can start from better defaults.
  • Re-test periodically as catalog mix, seasonality, inventory, and shopper behavior change.

Next Steps

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