Chartcastr supports 30+ pre-built Meta Ads metrics across six categories. Each metric is delivered with an AI-generated summary tailored to Facebook and Instagram ad performance.
Spend & Efficiency Metric Chart Type Description Daily Ad Spend ⭐Line Total ad spend across all campaigns per day Cost per Click Line Average cost per click per day CPM (Cost per 1,000 Impressions) Line Cost per thousand impressions per day Return on Ad Spend Line Purchase ROAS across all campaigns per day Cost per Acquisition Line Average cost per conversion per day Cost per Lead Line Average cost per lead action per day Cost per Purchase Line Average cost per purchase action per day Spend by Campaign Bar Ad spend broken down by campaign
⭐ Daily Ad Spend is the recommended starting metric for budget tracking. For e-commerce, pair it with ROAS for a complete efficiency picture.
Delivery Metric Chart Type Description Daily Impressions Line Total ad impressions per day Daily Reach Line Unique people who saw your ads per day Average Frequency Line Average number of times each person saw your ads per day Daily Clicks Line Total ad clicks per day Link Clicks Line Clicks on links within your ads (excludes engagement clicks) Unique Clicks Line Deduplicated click count (one per person per day)
Engagement & Video Metric Chart Type Description Click-Through Rate Line Percentage of impressions that resulted in a click Engagement Rate Line Post engagements as a percentage of impressions per day Post Reactions Line Total reactions (likes, loves, etc.) on your ads per day Post Comments Line Comments on your ads per day Post Shares Line Shares of your ads per day Post Saves Line Saves of your ads per day Thumbstop Rate Line Percentage of impressions where users stopped to watch 3s+ of video Video Views (3s+) Line Number of times your video was viewed for at least 3 seconds Video 25% Watched Line Times your video was watched to 25% of its length Video 50% Watched Line Times your video was watched to 50% of its length Video 75% Watched Line Times your video was watched to 75% of its length Video 100% Watched Line Times your video was watched to completion
Conversions & Revenue Metric Chart Type Description Daily Conversions Line Purchase and lead actions per day Daily Purchases Line Purchase events per day (requires Meta Pixel or Conversions API) Daily Leads Line Lead generation events per day Add to Cart Line Add-to-cart events per day (requires Meta Pixel or Conversions API) Initiate Checkout Line Checkout initiation events per day (requires Meta Pixel or Conversions API) View Content Line Content view events per day (requires Meta Pixel or Conversions API) Purchase Revenue Line Total revenue from purchases per day (requires Meta Pixel or Conversions API) Cost per Result Line Average cost per primary conversion action per day
Breakdowns Metric Chart Type Description Spend by Ad Set Bar Ad spend broken down by ad set Spend by Age Group Bar Ad spend broken down by audience age group Spend by Gender Bar Ad spend broken down by audience gender Spend by Platform Bar Ad spend by platform (Facebook, Instagram, Messenger, Audience Network) Spend by Placement Bar Ad spend by placement (Feed, Stories, Reels, Right Column, etc.) Spend by Device Bar Ad spend by device type (mobile, desktop, tablet)
Overview Metric Chart Type Description Spend vs Conversions Combo Daily spend with conversion overlay Conversion Funnel Funnel View content → add to cart → initiate checkout → purchase
AI-Powered Summaries Every Meta Ads chart is delivered with an AI-generated summary specific to the ad metric:
Spend/ROAS : budget pacing, efficiency trends, campaign-level outliersDelivery : reach saturation, frequency fatigue signals, audience exhaustionEngagement : creative fatigue detection, thumbstop trends, video completion dropoffConversions : funnel bottlenecks, pixel attribution signals, cost-per-result trendsBreakdowns : demographic shifts, platform mix changes, placement efficiency
How AI analysis works in pulses Learn how Chartcastr generates summaries, what context it uses, and how to get the most out of AI analysis.
