Connector Database / Twitter Ads
Analyze your Twitter Ads data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Twitter Ads data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Twitter 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 Twitter Ads data with DuckDB-powered data warehouse including Salesforce, Quickbooks and S3.
Available Twitter Ads Data
Connects to the Twitter Ads API to extract advertising account and campaign objects, targeting catalogs, creatives, promoted content, and account-scoped tweets, plus asynchronous analytics reports. This enables analysis of campaign performance and spend, engagement and video metrics, web and mobile conversions, creative effectiveness, targeting coverage, and comparisons across placements and time granularities.
Ads Account
Top-level advertiser container that scopes campaigns, billing, and permissions; enables account-level spend and performance rollups and cross-account benchmarking.
Campaign
Marketing initiative controlling budget and flighting; supports analysis of pacing, spend, goal attainment, and performance across time and placements.
Line Item
Execution unit under a campaign with objective, bid type, and placement; enables analysis of delivery, cost efficiency (e.g., CPA/CPE), frequency, and A/B strategy tests.
Targeting
Audience and context selections applied to line items; supports performance breakdowns by geo, device, interests, language, events/TV, and platform, plus reach coverage analyses.
Creative Asset
Reusable creative elements used in ads—media, cards, and video CTAs; enables creative effectiveness analysis, format comparisons, and message testing.
Promoted Content
Ad-deliverable entities such as promoted tweets and promoted accounts; supports analysis of reach, engagement, and cost by specific content, including scheduled units.
Tweet
Account-scoped tweets (organic and scheduled) that serve as creative; enables content inventory mapping and organic-versus-paid comparisons when joined to ad metrics.
Custom Audience
First-party audience lists for targeting or exclusion; supports segmentation, match-rate monitoring, and performance comparison versus broad or interest-based targets.
Conversion Tracking Tag
Website and app tags used for attribution; enables CPA/ROAS reporting, funnel analysis, and optimization toward downstream conversions.
Performance Metrics (Analytics)
Asynchronous analytics delivering metrics by entity, placement, and time granularity; powers KPI dashboards, time series, and cohort analyses.
Funding Instrument
Billing sources linked to the account; supports spend allocation, budget availability, and pacing analysis by payment source.
Authentication Required
Authenticates via OAuth 1.0a using your Twitter Ads app’s consumer key/secret and access token/secret
Getting started with
Twitter Ads Analytics & Business Intelligence
Connect your Twitter Ads data
Connect to Twitter 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?
Twitter 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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