Using Looker Studio (formerly Data Studio) for Custom PPC Reporting

Looker Studio is Google’s free reporting tool, and it is the same product that launched as Google Data Studio back in 2016 before the October 2022 rename. For PPC reporting, it pulls live Google Ads, Analytics and spreadsheet data into one shareable dashboard that updates itself, which beats rebuilding a slide deck every month. The free version handles almost everything a small or mid-sized advertiser needs.

The part most tutorials skip is the design work: connecting the data takes twenty minutes, but building a report a client opens twice a week takes judgement about what to leave out.

What the Data Studio Rename Actually Changed

Google folded Data Studio into the Looker family in October 2022, so Looker Studio (formerly Google Data Studio) is the same dashboards you may have built years ago, with the same URLs still resolving. Old links to datastudio.google.com redirect, and existing reports kept their charts, filters and sharing permissions.

Two things did change in practice. Google added a paid tier, Looker Studio Pro, at roughly $9 per user per project per month, which brings team content ownership and Google Cloud support. The free version stayed free and still covers custom PPC reporting for most advertisers, as documented in Google’s official Looker Studio help centre.

Connecting Google Ads and Other Paid Media Sources

The native Google Ads connector is free and takes about two minutes: create a blank report, pick Google Ads, authorise your account, then choose a single account or a manager account summary. Data pulls in at the campaign, ad group, keyword, ad and asset level depending on the schema you select.

Beyond Google Ads, the connectors most PPC reports rely on are:

• Google Analytics 4 for on-site behaviour, assisted conversions and revenue. If you have not joined the two platforms yet, start by linking Google Ads to GA4 so the cost data flows through correctly.
• Google Sheets for anything manual: offline revenue, lead quality scores, close rates from your CRM.
• Search Console when you want organic and paid search side by side on the same query set.
• BigQuery for accounts with years of history or heavy blending, where native connectors get slow.
• Partner connectors from vendors like Supermetrics, Windsor.ai or Porter for Meta, Microsoft Ads, LinkedIn and TikTok. Expect $20 to $100 per month depending on data sources and row volume.

One rule saves a lot of pain later: name every data source clearly at the point of connection. “Client X Google Ads MCC” is far easier to debug in six months than four sources all called “Google Ads”.

The Metrics and Dimensions Worth Putting on Page One

A dashboard with forty metrics communicates less than one with eight. The first screen should answer a single question: is the money working this month compared with last month?

For most accounts that means scorecards for spend, conversions, cost per conversion, conversion value and ROAS, each with a comparison period turned on so the percentage change shows in green or red. Impressions and clicks belong lower down; they explain performance, they do not measure it. Our breakdown of the PPC metrics worth checking daily covers which numbers deserve that top-line treatment.

Dimensions do the diagnostic work. The ones that earn their space in a custom PPC report are campaign, campaign type, device, day of week and hour, geographic location, and search keyword or search term where you have it. Device and hour breakdowns in particular tend to surface waste quickly, which is why they pair well with ad scheduling decisions.

Blended Data and Calculated Fields for Cross-Channel Views

Blending is where Looker Studio starts beating the native platform reports. A blend joins two or more sources on a shared key, so you can put Google Ads spend next to Meta spend next to CRM-confirmed revenue in a single table.

Since the 2022 update, blends support left, right, inner, outer and cross joins, not just the old left-outer behaviour. The practical joins for paid media are date (for daily cross-channel trend lines) and campaign name (for like-for-like channel comparison, assuming your naming convention is disciplined).

For a closer look at this topic, see our guide: Heatmaps Explained: How to Gain Insights Using Hotjar or Crazy Egg.

Related reading: Attribution Models in PPC: First Click, Last Click, or Data-Driven?.

Calculated fields fill the remaining gaps. Four that appear in nearly every PPC dashboard we build:

• Blended CPA: total spend across all channels divided by total conversions.
• Profit-adjusted ROAS: conversion value multiplied by your gross margin, divided by cost.
• Lead-to-sale rate: CRM closed deals divided by platform-reported conversions, which exposes lead quality problems the ad platforms cannot see.
• Budget pacing: spend to date divided by expected spend for the days elapsed, shown as a percentage against 100.

Audience-level reporting benefits from the same treatment. If you are testing lookalike audiences on Facebook alongside custom intent audiences in Google, a blended audience table shows which prospecting method delivers cheaper qualified leads rather than cheaper clicks.

Designing a Report Clients Actually Read

Most PPC dashboards fail on layout, not on data. The competitor guides walk through connectors in detail and then stop, which leaves you with a technically correct report nobody opens after week three.

A structure that holds attention across months tends to follow this order:

1. Page 1, the verdict: five scorecards with period comparison, one trend chart, and a text box you update monthly with two sentences of plain-English commentary.
2. Page 2, where the money went: campaign table sorted by spend, with CPA and ROAS columns and conditional formatting so anything above target CPA turns amber.
3. Page 3, the levers: device, geography, hour of day and search terms, the areas where a change this week affects next week’s numbers.
4. Page 4, the detail: keyword and ad-level tables for anyone who wants to check the working.

Add a date range control and a campaign filter to the report header, then set them to apply across all pages. Conditional formatting matters more than chart variety; a client reads colour before they read numbers. Schedule the report to email as a PDF on the first working day of each month so the conversation starts before anyone asks for it.

Four Problems That Break PPC Dashboards

Slow loading is the most common complaint, and it usually comes from blends across large date ranges. Reduce it by lowering the default date range to 30 days, using Extract Data (a scheduled snapshot source refreshed daily) for historical charts, and cutting unused charts from each page.

Mismatched conversion totals between Looker Studio and the Google Ads interface almost always trace back to attribution windows and the difference between conversion date and click date. Check which conversion actions are set to “include in Conversions” before assuming the connector is wrong.

Broken credentials happen when the person who authorised the data source leaves or has their access revoked. Set data source credentials to the report owner rather than the viewer for client-facing dashboards.

Stale figures come down to caching. The Google Ads connector refreshes on a schedule (12 hours by default), so shorten the data freshness interval if your client checks numbers before their morning standup. If the underlying account has deeper issues, a dashboard only reveals them; a quick structural audit is the fix.

How Long a Custom PPC Report Takes to Build

A single-account Google Ads dashboard with four pages takes an experienced builder around 3 to 5 hours from blank canvas to client-ready. Multi-channel reports with paid connectors and CRM data typically run 8 to 15 hours because of naming conventions, join keys and the inevitable round of revisions.

Templates cut that dramatically. Build one well-structured report, save it as a template, then swap data sources for each new account in under an hour. Google’s own Looker Studio product page lists the gallery and template options, and most agencies end up with two or three house templates rather than dozens of bespoke builds.

Frequently Asked Questions

Is Looker Studio the Same as Data Studio?

Yes, they are the same product under two names, renamed in October 2022. Every report built in Google Data Studio kept working after the change, including shared links, scheduled email delivery and existing data source connections.

Is Looker Studio Deprecated?

No, Looker Studio is actively supported and Google shipped feature updates throughout 2025 and into 2026. The free tier remains available, alongside Looker Studio Pro at roughly $9 per user per project per month for teams that need content ownership controls and Cloud support.

Is Looker Studio Still Called Data Studio?

Not officially, though plenty of marketers still say Data Studio out of habit. Google retired the Data Studio branding in 2022, and old datastudio.google.com URLs now redirect to lookerstudio.google.com automatically.

Do People Still Use Looker?

Yes, Looker and Looker Studio are separate products serving different audiences. Looker is Google Cloud’s enterprise business intelligence platform with a modelling language (LookML) and enterprise pricing, while Looker Studio is the free self-serve reporting tool most PPC teams use for client dashboards.

Can Looker Studio Report on Facebook and Microsoft Ads?

Yes, but only through a third-party connector, since Google provides native connectors for its own products. Expect $20 to $100 per month for a partner connector covering Meta, Microsoft Ads, LinkedIn and TikTok in one subscription.

Get a PPC Dashboard Built Around Your Account

If your monthly reporting still involves exporting spreadsheets and pasting screenshots, a properly structured Looker Studio report will give you back several hours a month and a clearer view of where spend is working. Talk to SEO Quirk about your accounts, or take a look at how we manage paid search and reporting for clients.