Best Practices

Match dimension to your reporting goal

Use Account-level for budget overviews, Campaign for strategy analysis, Ad for creative testing. Pulling Ad-level data when you only need campaign totals creates unnecessarily large datasets.

Use daily splits for trend analysis only

If you just need period totals (e.g., monthly spend), leave the split set to "Totals only." Daily splits multiply row count significantly and slow down refreshes for long date ranges.

Combine entities in one data flow

Add both Ad analytics and List of recently collected leads as separate sources in a single data flow. Use the Append or Join transformation to analyze lead volume alongside ad spend in one report.

Data refresh and scheduling

Refresh leads frequently

Because the leads entity only returns recently collected leads, set up a daily (or more frequent) schedule with Append mode in your destination. This builds a cumulative lead log over time without losing older submissions.

Use completed periods for stable numbers

Quora Ads can update conversion data retroactively. For reporting that needs to reconcile with Quora's UI, pull Last Month or a completed custom range rather than in-progress periods like This Month or Last 7 Days.

Performance optimization

Break large historical loads into chunks

Pulling All Time at the Ad + Daily level for large accounts can time out. Use Custom date ranges to pull data quarter by quarter, then Append the results into a single destination table.

Filter to specific campaigns or ad sets when possible

If you only care about a subset of campaigns, use the campaign or ad set filter parameters. This reduces query size and speeds up sync time, especially for daily splits.

Common pitfalls

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Do

  • Set up Append mode for the leads entity to accumulate data over time

  • Use the Custom period with specific dates when reconciling historical data against Quora's UI

  • Pull ad-level data for creative analysis; use account or campaign level for budget reporting

  • Test with a short date range first before running a large historical load

Don't

  • Use "All time" with daily splits at the ad level on large accounts without first narrowing scope

  • Compare Coupler.io data to the Quora UI mid-period — attribution windows are still open

  • Pull ad-level daily data when your report only needs campaign or account totals

  • Forget to check the dimension setting — a mismatch is the most common cause of number discrepancies

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