Connector Database / Google Ads

Analyze your Google Ads data with AI

Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Google Ads data with AI-powered assistant.

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Google Ads logo
01

Start with a question

Generate automated reports and business intelligence insights from your Google Ads data—as fast as you can ask them.

Start with a question
Build visualizations and charts
02

Build dashboards and data visualizations

Transform your conversation into dynamic data visualizations on an intuitive data canvas.

03

Integrate all your data

Unify your Google Ads data with DuckDB-powered data warehouse including Google Sheets, S3 and MySQL.

Integrate all your data

Available Google Ads Data

Extracts Google Ads account hierarchy and marketing performance data, including campaigns, ad groups, ads, budgets, audiences, keywords, search terms, placements, and geo/device/demographic breakdowns. Enables analysis of spend, impressions, clicks, CTR, CPC, conversions, and performance trends across accounts (including manager accounts and their linked customers).

Account

Google Ads customer and manager accounts used to map hierarchy and aggregate spend, impressions, clicks, and conversions across linked customers.

Campaign

Top-level marketing initiatives within an account; enables analysis of budget utilization, CTR/CPC/CPA/ROAS, and performance trends over time.

Ad Group

Targeting and bidding containers under campaigns; supports analysis of strategy performance by audience, keyword, and placement, and optimization testing.

Ad (Creative)

Individual ads and creative variants (search, display, video) used to measure creative effectiveness via CTR, conversion rate, and cost efficiency.

Budget

Campaign or shared budgets that enable pacing, cap utilization, and spend versus target analysis.

Keyword

Biddable search keywords with match types and quality signals used to assess coverage, CPC, CTR, and conversion performance.

Search Term

Actual user queries that triggered ads, used for query mining, negative keyword discovery, and performance by intent.

Audience

Remarketing and affinity segments applied at campaign or ad group level; enables segmentation performance and targeting optimization.

Placement

Websites, apps, and YouTube channels where ads served, supporting inventory quality and performance analysis for display and video.

Conversion Action

Defined goals such as purchases, signups, or calls that drive attribution, CVR, CPA/ROAS, and outcome reporting.

Performance Segment

Device, geographic, and demographic breakdowns applied to metrics for bid adjustments and market insights.

Authentication Required

Connects to Google Ads using OAuth with your Google account (refresh token) and a required Google Ads developer token

Getting started with Google Ads Analytics & Business Intelligence

01

Connect your Google Ads data

Connect to Google Ads once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.

02

Build business intelligence models

Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.

03

Generate reports and insights

Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.

Want to see how easy it is to get started?

Google Ads usersDefinite

People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.

I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.

Aditya Sarkar

Co-Founder at Lean

A data platform built for startups

Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.

Ryan

CEO at a 9-figure E-comm Company

Immediate ROI

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