ROI & Analytics8 min readPublished · Updated

How to Build an Influencer Marketing Dashboard in GA4

A UTM scheme, key events, a creator channel group, the explorations worth saving, and the limits to print on the front page.

What an influencer marketing dashboard should answer

An influencer marketing dashboard is one view that shows, per creator and per campaign, what traffic and outcomes followed the content, what it cost, and what the data cannot see. In Google Analytics 4 you build it from three parts: a strict UTM scheme on every creator link, key events for the outcomes you care about, and saved explorations grouped by campaign and creator.

Decide the questions before you touch the tool. Most teams need four answers: which creators sent visitors who bought or signed up, which campaigns did better than last time, where creator traffic lands and whether that page works, and how much of the result the tracking missed.

Everything below is in order. Skipping the tagging step and jumping to reports is the most common reason influencer dashboards end up showing a single row called “(not set)”.

Key Takeaway

Tagging, key events and saved explorations make the dashboard; the questions come first.

Step 1: a UTM scheme for creator links

Google Analytics says you should always use utm_source, utm_medium and utm_campaign when adding parameters to a URL, and it treats parameter values as case sensitive, so “Instagram” and “instagram” become two rows. GA4 also accepts utm_id, utm_content, utm_term, utm_source_platform, utm_creative_format and utm_marketing_tactic.

Put a stable creator ID in utm_content rather than a handle, because handles change and a rename splits one creator into two rows. Generate every link from one template or link builder tied to the campaign record, and never let creators or teammates type parameters by hand.

  • utm_source: the platform, such as instagram or youtube
  • utm_medium: one fixed value for the programme, such as influencer
  • utm_campaign: the campaign name used in the brief, such as diwali_launch_2026
  • utm_id: the campaign ID from your campaign record
  • utm_content: the creator ID, such as cr_0142
  • Rules: lower case only, underscores instead of spaces, one template for everyone
Key Takeaway

Three required parameters, the creator ID in utm_content, lower case, generated from one template.

Step 2: mark your outcomes as key events

Google Analytics defines a key event as an event that measures an action that is particularly important to the success of your business. Purchases are marked as key events by default. Mark the others your campaign is judged on, such as a sign up, a lead form submission or a subscription start.

To mark an existing event, go to Admin, then Events, and click the star icon next to it. Confirm the site actually sends each event before you build a report on it; an event that exists in the plan but never fires will show as a confident zero rather than an error.

Keep event names consistent with the rest of the site. An influencer specific vocabulary that nobody else uses cannot be joined to other channels, which defeats the point of comparing creators with paid social and search.

Key Takeaway

Mark the outcomes that matter as key events and prove each one fires before reporting on it.

Step 3: a custom channel group for creator traffic

The default channel group has no channel for creators, so creator visits end up spread across whichever default channels their source and medium happen to match. A custom channel group fixes that. Google describes a channel group as a set of rule based categories of your website’s traffic sources, and custom channel groups can be applied to reports retroactively.

Create a new channel group, which starts as a copy of the default group, and add a channel called Influencer with a condition on Medium that matches your fixed medium value. Then reorder it above the social channels, because GA4 puts traffic in the first channel whose definition it matches. Standard properties can create two custom channel groups in addition to the predefined one, so do not spend them casually.

Plan the spend beside the measurement

Your dashboard needs a cost column that tagging will not fill. The budget calculator estimates creator fees from published benchmarks so your cost column starts from a real range.

Estimate creator fees
Key Takeaway

One Influencer channel matched on your fixed medium turns scattered creator traffic into one row.

Step 4: the influencer marketing dashboard views to save

Explorations are GA4’s collection of advanced techniques beyond standard reports. Free form exploration gives you a crosstab layout, path exploration shows what users do next, and cohort exploration groups users by shared attributes. Build these views and save them together as your dashboard.

Creator fees live in your contracts and invoices, not in your tags, so export the creator table each month and join it to your cost sheet by campaign ID and creator ID. That gives you cost per session, cost per key event and, with order values, revenue per creator.

Compare creators only within the same objective and format. Ranking an awareness video against an affiliate post produces a table that only shows they were briefed differently.

  1. Creator table (free form): one row per creator ID from utm_content, with sessions, key events and revenue, filtered to the Influencer channel.
  2. Campaign trend (free form): rows are campaigns, with a date comparison against the previous flight.
  3. Landing pages (free form): where creator traffic arrives, which often exposes a generic or broken destination.
  4. Next steps (path exploration): what creator visitors do after landing.
  5. Return visits (cohort exploration): whether creator visitors come back in later weeks.
Key Takeaway

Save a creator table, campaign trend, landing page view, path and cohort as one set, then join costs outside GA4.

Step 5: attribution settings and the limits to print on the dashboard

GA4 Attribution reports offer three models: data driven, paid and organic last click, and Google paid channels last click. First click, linear, time decay and position based models are no longer available as of November 2023. Whichever you use, write the model on the dashboard itself.

Then state the limits. Views that never produce a click, sessions that start in an in app browser and finish elsewhere, consent choices, cross device journeys and purchases on marketplaces all fall outside the tracked path. Pair the dashboard with a post purchase question and a creator code report, and keep those figures in their own clearly labelled columns.

Credit creators beyond the click

Attribution models, codes, surveys and cross platform rules for creator campaigns, in one guide.

Read the influencer attribution guide
Key Takeaway

Print the attribution model and the known blind spots on the first page of the dashboard.

Keeping the dashboard trustworthy

Dashboards decay quietly. A creator shares a link without parameters, a teammate invents a new medium value, a checkout change stops the purchase event. Run the checklist below every month and fix problems before the numbers reach a review.

On Limurse, campaign briefs, collaborations and creator payouts share one record, which makes it easier to issue links and reconcile costs against the same campaign and creator IDs your dashboard uses.

  • Search the source and medium report for values that break the scheme, such as capital letters or typos.
  • Check the “(not set)” rows in the creator table and trace where parameters were lost.
  • Test one live creator link end to end, including any link in bio tool.
  • Confirm each key event still fires after site releases.
  • Add an annotation or log entry for every campaign start, launch, price change and site release.
  • Reconcile tracked orders against your commerce platform for the month.

Keep results with the campaign

Campaign intelligence keeps briefs, collaborations and outcomes connected, so a dashboard row traces back to what was agreed.

See campaign intelligence
Key Takeaway

A monthly tagging and event check keeps the dashboard worth reading.

Frequently Asked Questions

How do I track influencer campaigns in GA4?

Give every creator a link with utm_source, utm_medium and utm_campaign, put a creator ID in utm_content, mark your outcomes as key events, and create a custom channel group that matches your influencer medium. Then save explorations grouped by campaign and creator.

What UTM parameters should influencer links use?

Use utm_source for the platform, a fixed utm_medium such as influencer, utm_campaign for the campaign name, utm_id for the campaign ID and utm_content for a stable creator ID. Keep every value lower case because GA4 treats values as case sensitive.

Why do influencer sales show up as direct traffic in GA4?

Usually because parameters were lost through a redirect or link in bio tool, the session began in an in app browser and the purchase happened elsewhere, or consent choices prevented the first session from being recorded.

Can GA4 show first click attribution for influencers?

Not in its Attribution reports. Google Analytics help states that first click, linear, time decay and position based models are no longer available as of November 2023. Export path data if you need a first touch view.

Can a GA4 dashboard show influencer ROI?

Only partly. Tagged links give you sessions, key events and revenue per creator, while creator fees, product and rights costs sit in your own records. Export the creator table and join it to your cost records by campaign and creator ID to calculate cost per outcome and ROI.

Limurse Creator OS

Turn this strategy into a campaign your team can run

Share your brief and we match five creators to it in 72 hours, or run the campaign yourself in the same workspace.

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