Connector Database / Snapchat Ads
Analyze your Snapchat Ads data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Snapchat Ads data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Snapchat 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 Snapchat Ads data with DuckDB-powered data warehouse including PostgreSQL, Google Analytics and Stripe.
Available Snapchat Ads Data
Extracts Snapchat Ads data including organizations, ad accounts, campaigns, ad squads, ads, creatives, media assets, audience segments, pixels, billing/funding, members/roles, and product catalogs. It also provides rich time-series performance metrics (daily and hourly) such as spend, impressions, swipes, installs, video views, and conversions, plus reference targeting dimensions across demographics, devices, geolocation, interests, and location categories. This enables comprehensive ad performance reporting, attribution analysis, spend optimization, and audience/targeting insights.
Organization
Top-level Snapchat Ads entity that groups ad accounts, billing centers, and catalogs; enables cross-account rollups, spend governance, and financial reporting.
Ad Account
Container for campaigns, assets, and settings with account-level performance time series; supports budget pacing, account health, and KPI monitoring across spend, impressions, and conversions.
Campaign
Marketing initiative grouping ad squads under a shared objective; enables analysis of delivery, spend, reach, and conversion performance over time.
Ad Squad
Ad set–level targeting, bidding, and optimization configuration; supports audience performance analysis, bid strategy evaluation, and budget allocation.
Ad
Individual ad units delivered to users; enables creative-level delivery, engagement (swipes, video views), installs, and conversion analysis.
Creative & Media
Creative metadata and media assets associated with ads; supports creative performance diagnostics, variant testing, and asset governance.
Audience Segment
First- and third-party audience lists available for targeting; enables segmentation comparisons, reach analysis, and lookalike/retargeting strategy evaluation.
Pixel & Web Conversions
Snap Pixel resources and domain-level conversion time series; supports onsite attribution, funnel analysis, and cross-channel impact measurement.
Product Catalog & Product Set
Feed-based product data used for dynamic ads and retargeting; enables product-level performance reporting, catalog coverage, and eligibility analysis.
Targeting Dimensions
Reference taxonomies for demographics, devices, geolocation, interests, and locations of interest; used to slice performance and build audience insights.
Billing & Funding
Payment methods and invoicing entities tied to spend; supports cost allocation, budget reconciliation, and financial control reporting.
Authentication Required
Connects securely to Snapchat Ads using OAuth 2.0 with a client ID, client secret, and refresh token
Getting started with
Snapchat Ads Analytics & Business Intelligence
Connect your Snapchat Ads data
Connect to Snapchat 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?
Snapchat 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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