Best Practices

Recommended setup

Join analytics with Creatives for ad names

LinkedIn Ads analytics reports don't include ad names — they only expose creative IDs. Set up a separate data flow for the Creatives entity and use Coupler.io's Join transformation on the creative ID to enrich your analytics with ad names and copy.

Pick your 18 metrics intentionally

LinkedIn enforces a hard limit of 18 metrics per analytics request. Decide upfront which metrics matter most for each report. If you need more than 18, create a second data flow with the remaining metrics and join them on the same dimension and date columns.

Use multi-dimension reports for audience analysis

If you want to see how a campaign performs across different audience segments simultaneously (e.g., Campaign × Member seniority), use Ad analytics by multiple dimensions instead of running separate single-dimension reports and combining them manually.

Leave lead gen form filter blank for full exports

When pulling Sponsored leads, leaving the form selector empty fetches submissions from all forms under the account. Only filter by specific forms if you're building a per-form pipeline report.

Data refresh and scheduling

Use Append mode to build history

LinkedIn Campaign Manager's UI limits how far back you can easily view data. Use Coupler.io's Append import mode with a rolling short date range (e.g., the last 7 days) to incrementally build a long-term historical dataset in your destination.

Daily splits need tighter date ranges

Requesting daily granularity over a 90-day window across multiple accounts and 18 metrics is a reliable way to hit timeouts or rate limits. Keep daily-split reports to 30 days or less, and use monthly splits for longer trend analysis.

Performance optimization

Split large accounts into separate data flows

If you manage many ad accounts with high activity, pulling all of them in a single data flow can cause timeouts. Create one data flow per account (or per region/brand) and use Append to combine the outputs.

Use totals for dashboard KPI cards

For high-level KPI cards (total spend, total leads), set Split data by period to "Totals only" — it's faster and lighter than pulling daily data and aggregating in your BI tool.

Common pitfalls

Don't mix dimensions that LinkedIn doesn't support together. Not all dimension combinations are valid in multi-dimension reports. If LinkedIn's API rejects a combination, the data flow will error. Test combinations with a short date range first before setting up a recurring schedule.

Do

• Join the Creatives entity to get ad names alongside analytics data

• Test a manual run with a short date range before expanding to 90+ days

• Use the Conversion dimension to isolate performance by conversion event

• Select Reach explicitly if you need frequency or CPM metrics

Don't

• Rely on the in-app preview to validate data — check the actual destination output

• Select all available metrics by default — choose only what you'll actually use

• Assume LinkedIn API data matches Campaign Manager exactly when comparing daily breakdowns

• Forget to re-authenticate if your LinkedIn password changes or token is revoked