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Measurement

Part of When to question your PPC agency's measurement and reporting

How to Set Up a PPC Agency Reporting Dashboard

Set up a PPC agency reporting dashboard with named tools, PPC metrics, data connectors, client layouts, refresh schedules and practical access controls.

This is an editorial pen name used by the publication, not a claim of an independently verified personal identity. Original editorial credit: Editorial Desk.

What to take away

  • The ICO's enforcement action register shows the regulator's appetite for action, and marketing data sits squarely in scope, so treat dashboard access as a data protection decision, not just a design one.
  • A dashboard is only as good as its definitions. Fix the metric list and the source of truth before anyone builds a view.
  • Clients need one primary outcome metric per account, with cost and volume metrics as context around it.
  • Refresh timing should match the decision cycle, not the data availability. Daily data for a monthly decision is noise.
  • Keep a written audit trail of who changed what, when and why. Dashboards drift quietly.

Start with the decisions the dashboard must support

Begin by listing the decisions your client actually makes each month. A retailer may decide how much to shift into a new product line. A lead-gen client may decide whether a channel deserves more budget. Each decision implies one or two metrics and a comparison period.

Decisions to dashboard metrics

  1. List monthly client decisions
  2. Retailer: shift budget to new product line
  3. Lead-gen: decide if channel deserves more budget
  4. Each decision implies one or two metrics
  5. Add a comparison period
  6. Write down before choosing platform

Write these down before choosing a platform. The tool matters less than the question it answers, but the chosen tool must connect to the agreed sources and support the access your client needs. For a wider view of how measurement fits agency work, see the measurement and reporting guide.

Agree the metric set and its definitions

Most disputes about dashboards are disputes about definitions. Agree whether conversions are counted on click, on view, or after a fixed lag window. Agree whether revenue is gross or net of returns. Agree the currency and the timezone.

Agree metric definitions

  • Conversionson click, on view, or lag window
  • Revenuegross or net of returns
  • Currency agreed
  • Timezone agreed
  • Publish glossary inside dashboard

Publish the definitions inside the dashboard itself. A short glossary panel removes most of the back-and-forth in the first weeks.

Build the dashboard in a reporting tool

For a client-facing report, Looker Studio is one option: connect its Google Ads and GA4 data sources, then add other platforms or CRM data through a supported connector such as Supermetrics, or a controlled file import where appropriate. Check connector availability, account access and any data lag before relying on a source.

Use this setup sequence:

  • Create the report and connect the agreed advertising, analytics and CRM sources.
  • Set the reporting date range, account filters, currency and timezone consistently across sources.
  • Add the agreed metric definitions and attribution basis to the report.
  • Build an overview page, then add campaign or channel detail and a notes area for data freshness and caveats.
  • Compare report totals with the figures in each source platform before sharing the report.

Map data sources and refresh cycles

Create a source map before connecting anything. Use Google Ads for its spend, clicks and campaign delivery data; GA4 for agreed website events and analytics; and the CRM for lead stages or qualified outcomes. Record which source owns each metric, how conversions are attributed and whether revenue is gross or net of returns. In Looker Studio, connect Google Ads and GA4 directly; use a supported connector such as Supermetrics for other platforms or CRM data, or a controlled CSV or offline-conversion import when that is the agreed route.

Do not assume fields match across advertising platforms. Map each platform's campaign names, costs and conversion fields to the agreed definitions; LinkedIn's LinkedIn Text Ads page is one example of a channel with its own formats and reporting fields.

Set an example refresh schedule and label it in the report: refresh paid-platform and GA4 data daily for routine monitoring, review CRM lead stages weekly, and update offline conversions after the agreed import. Actual connector updates can lag, so show a data-as-of note and follow the slowest reliable source when reporting a combined outcome.

Which metrics belong on the top row

Use a top-row template such as Spend | Clicks | CTR | Conversions | CPA | Conversion value | ROAS. This gives clients a primary outcome with cost and volume beside it; put supporting measures such as CPC, conversion rate and impression share below the fold.

Define each measure in the dashboard glossary: CTR is clicks divided by impressions; CPC is spend divided by clicks; CPA is spend divided by conversions; and conversion rate is conversions divided by clicks, using the agreed conversion definition. ROAS is attributed conversion value divided by ad spend. For eligible Google Ads Search campaigns, impression share is impressions received divided by estimated eligible impressions.

A practical layout is an overview page with the top-row measures and a performance trend, followed by campaign or channel detail and a separate notes area for attribution, data delays and exclusions. Use the same date range and filters throughout.

How to handle lagging CRM data

Flag the lag visibly. A small note stating that offline conversions update every Tuesday prevents a client reading a partial week as a collapse in performance.

Set access, permissions and an audit trail

Decide who sees which accounts before sharing the report. Give clients viewer access to the dashboard, reserve editor access for named agency staff who maintain it, and limit administrator access to the people responsible for settings and sharing. For source accounts, use the least access needed: for example, Google Ads Read-only and GA4 Viewer access for reporting where editing is not required. Keep CRM access restricted to staff who need lead-level information; finance teams can usually use aggregated results.

Where reporting involves personal data, the UK GDPR and the Data Protection Act 2018 apply. Limit the data shown, restrict access and agree how long it is retained. The ICO's enforcement action register is a reminder that data handling deserves proper governance, not just a dashboard setting.

Build a decision table for dashboard scope

Build a decision table

Choose

Single client, one channel, small spend
Platform-native report with a shared view link
Multi-channel account with CRM data
A layered dashboard with a lag note
Client with finance stakeholders
Monthly summary plus a drill-down view
Regulated sector client
Documented definitions and access log
Agency running many small accounts
A template with locked metric definitions

Avoid

Single client, one channel, small spend
A bespoke warehouse build
Multi-channel account with CRM data
Mixing live and lagged figures without a label
Client with finance stakeholders
Giving everyone edit access
Regulated sector client
Anonymous shared logins
Agency running many small accounts
Rebuilding each dashboard by hand

Common questions

How often should a client dashboard refresh?

For routine client reporting, a daily refresh for paid-platform and GA4 data can support monitoring, while a weekly CRM review suits slower lead qualification. Label the data-as-of date and any import lag; if the client makes decisions monthly, a weekly view is often more useful than reacting to daily variation.

Should the dashboard include competitor or market data?

Only if someone will act on it. Competitor auction insights can explain a shift in cost per click, but they rarely change a budget decision on their own. Keep them in a supporting tab.

What should an agency do when a client disputes a number?

Return to the written definitions. If the definition is missing or ambiguous, fix it in the dashboard and note the change. Repeated disputes about the same metric usually point to a deeper tracking problem, which is covered in the piece on measurement mistakes.

Do agencies need to log dashboard changes?

Yes. A simple change log showing the date, the metric affected and the reason protects both sides. It also makes handovers between account managers far less painful.

A performance dashboard does not replace campaign due diligence. Keep advertiser suitability checks separate from performance metrics; the ASA's list of non-compliant online advertisers can be a starting point when reviewing whether an advertiser is appropriate to promote.

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