Snapchat reports fewer purchases this week, but the store does not show the same decline. Should you stop the campaign or reinstall Pixel? First locate the difference: visits, orders, received events or attributed conversions?
Break “why did performance drop?” into smaller checks the team can execute. A fault, reporting difference and performance question require different next steps.
1. Describe what changed precisely
Record spend, delivery, clicks, site actions and completed orders for both periods, with currency and time zone. Review changes to creative, offer, link, schedule and measurement source. Equal numbers of days do not make periods comparable.
Distinguish matching quality from order quality. Snapchat explains that Event Quality Score measures how well events match Snapchat accounts. It is a technical measurement indicator, not a customer-quality or order-margin score. [1]
2. Trace the journey layer by layer
Start with delivery and click, then page load and action completion, event creation and delivery, then counting and attribution. At each layer, name the data source and unit. A click is not a completed visit; a received event is not always an ad-attributed conversion.
Check metric definitions and report settings in Snap documentation before comparing columns. Use aligned settings or document differences, particularly with multiple sources or time conventions. [2]
Practical example: a diagnostic tree, not a guessing list
These hypothetical cases help select a check; they do not establish the cause before testing.
| Observation | Possible hypothesis | Next check |
|---|---|---|
| Lower spend with apparently unchanged settings | Delivery, eligibility or schedule changed | Settings, status and change log |
| Clicks continue but page actions fall | Page issue, visit measurement or unit difference | Authorized destination and journey test |
| Completed actions but missing events | Event firing or delivery fault | QA sample and receipt log |
| Healthy events but fewer qualified orders | Quality, offer or follow-up difference | Review business records and the relevant lead cohort |
For clicks without page actions, open the destination on the affected device and test link, loading and form. For completed orders without events, investigate firing and delivery. Stay close to the observation rather than changing everything together.
Use approved test cases and record expected and actual outcomes. Do not send real inquiries to sales or create orders that disrupt stock merely to capture a test screenshot.
3. Separate fault repair from performance testing
A broken link needs correction and retesting. An unconvincing message needs a hypothesis, comparison and decision metric. If link, offer and creative change together, record it: attributing the outcome to one element becomes difficult.
Fix blockers to action or measurement first, then run business-question tests. Do not reinstall Pixel simply because platform totals differ from store records; review definitions and attribution before changing the source.
4. End with a decision report
For each observation, show hypothesis, check, evidence, result, owner and next step. “We could not verify” differs from “we tested this case and found no fault.” The former is not proof of health.
Deliver a diagnostic tree and business reconciliation log. You do not need an instant explanation for every change. The team needs to know what is established, what remains open and which action reduces uncertainty before the next budget decision.
Official sources
Source documentation reviewed: 16 October 2026. Features and eligibility may change; check the linked documentation before implementation.
