Ad platforms
Paid ad data from social and search platforms — campaigns, ad sets, ads, spend, impressions, clicks, conversions. This is the primary content of most marketing dashboards: every other category is typically combined onto ad data to enrich it. Examples include Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, Snapchat Ads, Pinterest Ads, Amazon Ads, Naver Search Ads, Kakao Moment.Organic
Page or profile performance from social platforms — followers, post engagement, reach, video views on owned channels. Organic data is typically left-joined onto ad data to compare paid and organic results from the same platform side by side. Examples include Facebook Organic, Instagram Organic, LinkedIn Organic, TikTok Organic, X Organic, Pinterest Organic.Public
Competitor or public profile data from social platforms. Useful for benchmarking owned channels and ad performance against competitor activity on the same platform. Examples include YouTube Public, Instagram Public, TikTok Public, X Public, Facebook Public, Reddit Public.Database
Direct connections to a workspace’s own SQL databases or data warehouses. Used for customer-side or first-party data — order tables, CRM exports, product catalogs — that complements ad reporting. Database sources are commonly left-joined onto ad data to bring revenue, lifetime value, or conversion details into a paid-media view. Examples include BigQuery, PostgreSQL, Redshift, MySQL, Snowflake, MongoDB.Analytics
Web, funnel, and SEO data from analytics platforms — sessions, conversion funnels, search visibility, on-site behavior. Analytics data is typically left-joined onto ad data to bring website outcomes alongside the spend that drove them. Examples include GA4, Amplitude, Piano Analytics, SEMrush, Adobe Analytics, Google Search Console.MMP (Mobile Measurement Partners)
Attribution data from mobile measurement platforms — installs, in-app events, post-install revenue. MMP data is typically left-joined onto ad data to attribute installs and conversions back to the campaigns that drove them. Examples include AppsFlyer, Adjust, Singular, Branch, Airbridge.File & storage
For sources without a dedicated API — or where data is easier to export than to integrate. Spreadsheets, CSV files, S3 buckets, SFTP drops, OneDrive folders, and scheduled email reports all land in the dashboard through file and storage data sources. The structure is defined by what the file contains, and the source can be mapped to standard marketing fields through the Data Integration tab. Examples include CSV File, Google Sheets, Amazon S3, File from SFTP, File from OneDrive, File from Email, Custom URL Import.E-commerce
Order, revenue, and product data from e-commerce platforms. Used for blending revenue or order counts onto ad spend to compute ROAS and revenue-attributed performance. Examples include Shopify, Shopee, Lazada, WooCommerce, Cafe24, Naver Commerce, Kakao Shopping.CRM & email
Customer, lead, and email-program data. Used for blending lead counts, deal stages, and email engagement onto ad performance to track marketing-to-pipeline outcomes. Examples include HubSpot, Salesforce, Klaviyo, ActiveCampaign, HighLevel, Mailchimp.What to do next
Connect a data source
Run the connection flow, or delegate to a colleague who has the platform credentials.
Blend data across categories
Combine ad data with organic, MMP, analytics, e-commerce, or database sources in the same widget.
Set up refresh and watch history
Trigger a manual refresh, watch refresh history, and understand which sources support on-demand refresh.
Control who sees what
Set per-source visibility so the right members and teams see the right accounts.