Connector Database / Bing Ads
Analyze your Bing Ads data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Bing Ads data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Bing Ads data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Bing Ads data with DuckDB-powered data warehouse including Attio, Zendesk, Quickbooks and Salesforce.
Available Bing Ads Data
Extracts Microsoft Advertising (Bing Ads) account and campaign structure plus daily performance reports. It syncs advertiser accounts, campaigns, ad groups, and ads, and downloads reporting data such as keyword, ad, ad group, campaign, geographic, age/gender audience, search query, audience, goals/funnels, and ad extension performance. This enables analysis of spend, impressions, clicks, conversions, revenue/ROAS, quality scores, and impression share metrics across accounts and time.
Account
Represents a Microsoft Advertising advertiser account; enables cross-campaign rollups of spend, clicks, conversions, and pacing and comparisons across accounts over time.
Campaign
Top-level initiative containing budgets, settings, and targeting; supports analysis of campaign performance, ROAS, impression share, and budget pacing.
Ad Group
A collection of ads and keywords within a campaign; used to analyze ad group performance, bid strategies, and testing outcomes.
Ad
Individual ad creatives (e.g., text or responsive ads); enables creative testing and KPIs like CTR, CPA, conversion rate, and contribution to quality.
Keyword
Bidded keywords and match types; supports analysis of CPC, quality score, impression share, and conversion efficiency.
Search Query
Actual user search terms matched to keywords; powers query mining, negative keyword strategy, and incremental reach and conversions analysis.
Audience Segment
Remarketing and audience lists applied for targeting; enables audience-level performance, segmentation, and bid modifier effectiveness.
Geographic Segment
Location-based breakdowns (country/region/city); supports geo performance analysis, market prioritization, and location bid adjustments.
Demographic Segment
Age and gender performance splits; used to understand demographic impact and optimize targeting and bid modifiers.
Conversion Goal
UET goals and funnels defining conversions and revenue; enables attribution, CPA/ROAS tracking, and goal performance across entities.
Ad Extension
Sitelinks, callouts, phone and other extensions; supports measuring extension-level engagement and their contribution to campaign KPIs.
Performance Report Row
Daily fact rows with metrics like impressions, clicks, spend, conversions, revenue, quality score, and impression share by chosen dimension; core dataset for reporting and modeling.
Authentication Required
Connects securely to your Microsoft Advertising account using OAuth 2.0 (Client ID/Secret and Refresh Token) along with a Developer Token
Getting started with
Bing Ads Analytics & Business Intelligence
Connect your Bing Ads data
Connect to Bing Ads once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
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.
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?
Bing 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.
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.
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