Enter social media metrics and visualize performance in a unified dashboard. Track followers, engagement, reach, and growth across platforms.
This dashboard is an entry form joined to a chart maker: you type the metrics each platform reports - followers, likes, comments, shares, and reach - for a date range, and it converts them into the derived figures marketers actually quote: engagement rate, period-over-period growth, and reach relative to audience. The one thing people get wrong is treating those percentages as platform-reported facts. They are your own entries run through arithmetic, so a mis-typed follower count silently skews every ratio built on it, and the results will not match native platform analytics, which often divide engagement by reach rather than followers.
A concrete input and expected output from the current implementation.
Input
Instagram: followers 25,000 (previous week 24,300); likes 980, comments 64, shares 36; reach 48,000 X: followers 8,400 (previous week 8,150); likes 310, reposts 72, replies 28; reach 21,500
Expected output
Instagram - engagement rate 4.32% (1,080 interactions), follower growth +2.88% (+700), reach 1.92x followers X - engagement rate 4.88% (410 interactions), follower growth +3.07% (+250), reach 2.56x followers
Each figure is direct arithmetic on the entered numbers: interactions total 1,080 for Instagram (980 + 64 + 36) and 410 for X (310 + 72 + 28), divided by followers to give 4.32% and 4.88%. Growth divides the follower change by the earlier count: 700 / 24,300 = 2.88% and 250 / 8,150 = 3.07%. Reach ratios are 48,000 / 25,000 and 21,500 / 8,400.
You supply followers, the interaction counts the platform exposes (likes, comments, shares or their equivalents), and reach, plus the date range those figures cover. The dashboard keeps each entry as a row it can plot, so charts extend only as far back as the entries you have made. Nothing is pulled from the platforms - the data is exactly what you typed.
Engagement rate divides total interactions by followers, growth divides the change from the earlier period by that earlier figure, and reach-to-followers shows whether posts are reaching beyond your audience. Each chart plots one metric across the platforms you track, and because every derived figure is a function of your inputs, a suspicious number traces back to a suspicious entry.
Different denominators. This dashboard divides interactions by follower count; native analytics commonly divide by reach or impressions, which are larger, so the platform's percentage comes out lower. Both formulas are legitimate and answer different questions. Keep entering numbers here the same way each period, and the trend stays meaningful even when the absolute percentages differ.
No. The tool works from figures you enter by hand and has no connection to the platforms, so you must copy or export each metric from native analytics yourself. The habit that keeps comparisons valid is entering every platform for the same date range on the same day.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Shorten URLs with local redirect tracking via localStorage. See click counts and generate a QR code for each link.
Build UTM-tagged URLs for campaign tracking with source, medium, campaign, term, and content parameters.
Enter 2+ headlines and see simulated previews in Google results, email subject lines, and social posts side-by-side.
Count characters for Twitter/X, LinkedIn, Facebook, and Instagram with platform-specific limits and warnings.
Calculate click-through rates from impressions and clicks with industry benchmarks and trend analysis.
Check email subject line length against best practices for desktop and mobile with preview text optimization.