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Workflow Guide

Track Reddit Alerts and Trends in Google Sheets

Log your Reddit Scout Pro alerts into Google Sheets to build a searchable, analyzable record of brand mentions, competitive intelligence, and market trends — turning Reddit data into structured insights your whole team can use.

Last updated: March 6, 2026

Reddit Scout Pro surfaces the Reddit conversations that matter for your brand and market. But real intelligence comes from analyzing patterns over time — not just reacting to individual posts. By logging Reddit Scout Pro alerts to Google Sheets, you build a growing dataset of Reddit activity that you can analyze for trends, measure brand mention frequency, track sentiment, and use to produce clear reports for stakeholders who don't have time to follow Reddit themselves.

Step-by-Step Guide

1

Set up keyword monitors in Reddit Scout Pro

Configure Reddit Scout Pro with targeted keyword monitors for the data you want to track in Google Sheets:

  • Brand terms — your company name, product names, taglines
  • Competitor terms — competitor product names for comparison tracking
  • Category keywords — phrases describing your product category
  • Sentiment keywords — your brand name combined with "problem", "issue", "love", "recommend"

Label each monitor clearly with a category tag (e.g., "Brand", "Competitor", "Category") — you'll use these labels as column values when logging to Google Sheets.

Tip:Limit your monitors to 10–15 at launch. More monitors create more data — which is only useful if you have the capacity to review and log it. Start focused and expand coverage as your workflow matures.
2

Create a Reddit Alerts tracking spreadsheet

In Google Sheets, create a new spreadsheet called Reddit Monitoring Log. Set up these columns in your main sheet:

  • Date Logged (Date)
  • Monitor Category (Text) — Brand, Competitor, Category, etc.
  • Subreddit (Text) — e.g., r/SaaS
  • Post Title (Text)
  • Upvotes (Number)
  • Comments (Number)
  • Sentiment (Dropdown) — Positive, Negative, Neutral, Mixed
  • Our Brand Mentioned (Checkbox)
  • Competitor Mentioned (Text) — which competitor
  • Key Insight (Text) — one-line summary
  • Action Taken (Dropdown) — None, Responded, Flagged for Product, Shared with Team
  • Reddit URL (URL)

Add data validation on the Sentiment and Action Taken columns using Data → Data validation → Dropdown to ensure consistent tagging.

Tip:Use Google Sheets' data validation feature for all categorical columns (Sentiment, Monitor Category, Subreddit). Consistent spelling and capitalization is critical for accurate pivot tables and charts later.
3

Log Reddit Scout Pro alerts into the spreadsheet

Establish a daily logging routine for Reddit Scout Pro alerts:

  1. Open Reddit Scout Pro each morning and review new alerts since yesterday
  2. For each alert worth logging (posts with 10+ upvotes or direct brand mentions), add a new row to your Google Sheets log
  3. Fill in Date Logged, Monitor Category, Subreddit, Post Title, Upvotes, Comments, and Reddit URL directly from the alert
  4. Open the Reddit thread, read it, and add Sentiment, Key Insight, and Competitor Mentioned based on the content
  5. Set Action Taken based on what you do with each post

For teams that need to capture every alert without manual reading first, set up a webhook from Reddit Scout Pro to a Google Apps Script that auto-populates the spreadsheet — then review and fill in Sentiment and Key Insight during a weekly batch session.

Tip:Schedule a 15-minute "Reddit Scout triage" block on your calendar each morning. Done consistently, this becomes one of the most valuable intelligence-gathering habits you can build for understanding your market.
4

Build a sentiment and trend analysis dashboard

Create a Dashboard sheet in your Google Sheets file to analyze your logged Reddit data. Use pivot tables and charts:

  1. Insert a Pivot Table (Insert → Pivot table → reference your log sheet)
  2. Add Monitor Category as Rows, Sentiment as Columns, and Count of Post Title as Values. This shows you how many positive vs. negative posts you've captured per category.
  3. Add a second pivot table with Date Logged by month as Rows and Count of Post Title as Values to visualize mention frequency over time.
  4. Add a third pivot table with Subreddit as Rows and average Upvotes as Values to identify which subreddits generate the highest-engagement Reddit discussions about your topics.
Tip:Add a Google Sheets chart (Line chart) showing total brand mentions per week over time. A sudden spike in brand mentions — positive or negative — is a signal worth investigating immediately. Share this chart in your weekly team update.
5

Generate monthly Reddit intelligence reports

At the end of each month, produce a Reddit Intelligence Report using your Google Sheets data. The report should include:

  • Total mentions — how many Reddit posts matched your monitors
  • Sentiment breakdown — % positive / negative / neutral for brand mentions
  • Top subreddits — where your brand and category are discussed most actively
  • Competitor mention count — how often each competitor appeared in discussions
  • Top posts — the 3–5 highest-upvote posts from the month with your Key Insight notes
  • Actions taken — count of responded / flagged / shared posts

Export the pivot table data as a chart image (right-click chart → Download) and include in a Google Slides or Notion report for stakeholders.

Tip:Compare each month's sentiment breakdown to the previous month. A meaningful shift in positive/negative ratio is worth a root cause analysis — what changed? A product update, a PR event, a viral negative post? The data helps you diagnose and respond to reputation shifts early.

Use Cases

Marketing teams producing monthly brand sentiment reports from Reddit data for leadership
Competitive intelligence analysts tracking how often and in what context competitors appear on Reddit
PR teams measuring the impact of campaigns and announcements on Reddit brand mentions
Product managers logging Reddit feature requests and pain points for roadmap discussions
Agencies providing Reddit monitoring reports to clients as part of a social listening service
Community managers measuring response effectiveness by tracking sentiment before and after engaging

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