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How to Filter Dashboards

How to filter Dashboards This guide shows how, on the screen, to narrow metrics and charts down to a single campaign, source, buyer, or any parameter from the tracking link, and how to enable Group By

Updated August 30, 20263 min



How to filter Dashboards

This guide shows how, on the Dashboards — Summary Analytics screen, to narrow metrics and charts down to a single campaign, source, buyer, or any parameter from the tracking link, and how to enable Group By to compare values within a slice. After the first run-through, a typical setup takes about 10–30 seconds.



What to prepare

Launched Campaigns — advertising campaignswith real or test traffic.
In Campaigns — advertising campaigns, the fields that should be included in the link and then in the filters are configured (buyer, ad_name, sub1, UTM, and others). If a parameter is not passed in the URL, you cannot filter by it.




Steps



  1. 1

    Open Filters

    On the Tracker → Dashboards page, click the Filters button at the top of the screen.
    
  2. 2

    Select filtering parameters

    Select the fields you need to create a slice by. The set of fields is formed from the parameters that actually come in clicks on your links. The names may differ from the examples below — use the list in the interface as your reference.
    
  3. 3

    Enter values

    For each selected field, enter the value exactly as it is passed in the link (case and spaces must match what is sent to tracking).
    Examples of value formats: buyer=ivan, ad_name=creative_v3 — for illustration only. Take your tokens from the ad account or from the markup in Parameters.
    
  4. 4

    Click Search

    The KPI tiles and charts are recalculated according to the selected conditions. One shared set of filters is applied to all blocks on the screen at the same time.
    



What parameters are available

Filtering is possible only by the keys that are added to the campaign link defined in Campaigns — advertising campaigns. Typical examples of names (the actual list is in the UI):
  • identifiers or names of entities from the ad account (campaign_name, ad_campaign_id, adset_id, ad_name, and similar fields from your markup).
  • placement or other platform fields.
  • utm_source, utm_campaign, utm_content.
  • keyword for search campaigns.
source_name — the name Sources — Traffic Sourcesin the campaign.
buyer and suffixes (sub1, sub2 …), if you pass them.
clickid — a detailed breakdown of a single click during debugging.
Any custom fields from Parameters also appear in the list if they are included in the URL.



Group By — data breakdown

Filters selects a subset of events (“only this campaign”). Group By sets the dimension by which metrics are split into multiple series (daily trends, creative comparisons, etc.).
Common Group By values:
  • Day — by month or by day (as in the interface for your product version).
  • source_name — comparison of sources within the filtered traffic stream.
  • ad_name or another creative parameter from the link.
  • buyer — comparison of buyers. For users with the Buyer role, row visibility is limited to their campaigns; the full team breakdown is available to the Buyer Team Lead and Admin — see Buyers (TRACKER → Buyers).
  • any UTM or custom parameter from the list.
Only one Group By field can be set at a time. Splitting by several dimensions at once is easier to do in Analytics — detailed table— Analytics — detailed table.



Using Filters and Group By together

Example scenario logic:
  • Filter: limit the traffic stream to one marketing campaign (the field and value from your markup).
  • Group By: ad_name.
  • Result — distribution of metrics by ads within the selected campaign. Use it to disable underperforming creatives and reallocate the budget.



Expected result

After Search, the numbers on the tiles and the lines on the charts correspond only to the selected clicks and events. When Group By is enabled, legends and series reflect the contribution of each value of the selected parameter.



If it doesn’t work

Add the field to Campaigns — advertising campaigns, generate a new click using the updated link and wait for the parameter to appear in the list after the data is received.

Check that the value exactly matches what is in the URL. Remove unnecessary filters. Extend the date range on the screen if the range excludes traffic.

For some clicks, the selected field was not passed. Check the tagging and the presence of macros in the ad.

If the product supports saving a filter preset, use it. If not, save the combination in the team's internal documentation or perform regular analysis in Analytics — detailed table, where multidimensional breakdowns and export are more convenient.

Move the analysis to Analytics — detailed table.



Use cases by segment

Arbitrage — filter by campaign, Group By: creative. Disable the ad with an outlier CTR.
Performance — filter by the campaign's internal name, Group By: source_name. Compare Facebook andTelegramby ROI within a single offer.
Buyer Team Lead — no filter or a filter by team, Group By: buyer. Weekly summary for group members for the call.



What's next

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On this page

  • How to filter Dashboards
  • What to prepare
  • Steps
  • What parameters are available
  • Group By — data breakdown
  • Using Filters and Group By together
  • Expected result
  • If it doesn’t work
  • Use cases by segment
  • What's next