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Hashtag Performance Tracker

Example prompt: "Every Friday, check how our branded hashtag performed on Twitter this week. Log the engagement numbers to a Google Sheet and post a summary to #marketing on Slack."

How to automate hashtag tracking with GloriaMundo

The Problem

Your team runs campaigns around branded hashtags, but tracking how those hashtags actually perform is a manual chore. Someone has to search Twitter, scroll through results, try to gauge whether engagement is up or down compared to last week, and then report the findings to the team. Most of the time, nobody does this consistently — the numbers get checked when someone remembers, which means the team has no reliable week-over-week data. Without a consistent record, it is impossible to tell which campaigns drove real engagement and which fell flat.

How GloriaMundo Solves It

We build a scheduled workflow that runs every Friday. A Twitter search step pulls recent posts using your branded hashtags, capturing engagement signals like replies, retweets, and likes. A web search step supplements this with any broader coverage — blog posts, articles, or forum discussions that reference the hashtag outside of Twitter. An LLM step analyses the collected data, calculates engagement metrics for the week (total mentions, top-performing posts, engagement rate trends), and compares them to the previous week's figures from your tracking sheet. An integration step logs the raw numbers to a Google Sheet so you build a historical record over time. A final integration step posts a summary to Slack with the highlights — what performed well, what did not, and any notable posts worth responding to. Glass Box preview shows you the search results and drafted summary before anything is logged or posted.

Example Workflow Steps

  1. Trigger (scheduled): Runs every Friday at 3:00 PM.
  2. Step 1 (twitter_search): Search for recent posts using your branded hashtags on Twitter. Capture engagement metrics for each post.
  3. Step 2 (web_search): Search for mentions of the branded hashtag outside Twitter — blog posts, articles, and forum discussions.
  4. Step 3 (llm): Analyse the collected mentions, calculate weekly engagement metrics, identify top-performing posts, and compare to the previous week's data.
  5. Step 4 (integration): Log the week's metrics — total mentions, engagement rate, top posts — to a Google Sheet as a new row.
  6. Step 5 (integration): Post a formatted performance summary to #marketing on Slack with highlights and notable posts.

Integrations Used

  • Google Sheets — stores weekly hashtag metrics for historical tracking and trend analysis
  • Slack — delivers the weekly performance summary to the marketing team

Who This Is For

Marketing managers, social media managers, and community leads who run hashtag-driven campaigns and need to understand what is working without manually trawling through Twitter every week. Particularly useful for teams running ongoing brand awareness campaigns where week-over-week trends matter more than any single post.

Time & Cost Saved

Manually tracking hashtag performance — searching Twitter, counting engagement, comparing to last week, and writing a summary — takes 1-2 hours per week. Most teams only do it sporadically, which means they lack the consistent data needed to evaluate campaign effectiveness. This workflow runs every Friday and builds a reliable historical record automatically. Over a quarter, that is 12-24 hours of manual tracking replaced, plus the strategic value of having clean week-over-week data for every campaign.