How to Pull Top-Performing Tweets and Repurpose as Posts Using Automation Workflows

In today’s fast-paced marketing environment, efficiently leveraging your best-performing content is crucial to maximize reach and engagement. 🚀 This article will guide you step-by-step on how to pull top-performing tweets and repurpose as posts by building robust automation workflows. If you’re in the marketing department looking to increase productivity while maintaining content quality, this is the workflow for you.

We will explore the process end-to-end, integrating popular tools like Twitter API, Google Sheets, Gmail, Slack, and HubSpot, using automation platforms such as n8n, Make, and Zapier. By the end, you will be equipped to create seamless workflows that save time and boost your content strategy using data-driven insights.

Understanding the Workflow: From Twitter Analytics to Repurposed Content

The key to effective content repurposing is identifying your top-performing tweets based on engagement metrics such as likes, retweets, and replies, then transforming these into richer posts for blogs, newsletters, or social channels. Automating this workflow empowers marketing teams to focus on creative tasks instead of manual data gathering.

Who Benefits and What Problems Does This Automation Solve?

• Marketing teams reduce the time spent manually analyzing and selecting tweets.
• Content strategists gain real-time access to high-impact content ideas.
• Social media managers consistently post engaging content tailored for multiple platforms.

This automation removes the bottleneck of manual analytics, decreases errors, and ensures timely content repurposing to maximize user engagement and brand visibility.

Core Tools and Services Integrated

• Twitter API: To fetch tweet metrics and content.
• Google Sheets: Storing and ranking tweet data.
• Slack: Notifications about new top tweets.
• Gmail: Automated email reporting of weekly top content.
• HubSpot: Creating blog drafts or social posts from tweets.
• Automation Platforms: n8n, Make, Zapier for workflow orchestrations.

Setting Up the Automation Workflow Step by Step

Step 1: Fetch Top-Performing Tweets via Twitter API

Start by connecting to the Twitter API to extract tweets based on engagement metrics filtered by timeframe or hashtags.

• Trigger: Schedule trigger (daily or weekly polling) to initiate data fetch.
• Action Node: HTTP Request to Twitter’s endpoint GET /2/tweets with query parameters for metrics tweet.fields=public_metrics.

Example HTTP Request snippet for n8n:

GET https://api.twitter.com/2/users/<user_id>/tweets?tweet.fields=public_metrics&max_results=100

Headers: Authorization: Bearer <Your_Twitter_Bearer_Token>

Tip: Be mindful of Twitter’s rate limits of 900 requests per 15 minutes for standard plans — implement exponential backoff on 429 status.

Step 2: Populate & Rank Tweets in Google Sheets

Using data from Twitter, push tweets with their engagement numbers into Google Sheets to create a sortable repository.

• Node: Google Sheets – Append Row with columns: Tweet ID, Text, Likes, Retweets, Replies, Engagement Score.
• Formula: Use a combined engagement score such as Likes + (Retweets * 2) + (Replies * 1.5) to rank tweet performance.

This visual spreadsheet lets the marketing team quickly review and select high-impact content.

Step 3: Filter Top Tweets and Generate Slack Notifications ⚡

Set a filter to extract only tweets exceeding a defined engagement threshold.

• Filter Node: If Engagement Score > 100, continue the flow.
• Slack Node: Send a message to a designated marketing channel with tweet text and metrics for team visibility.

This alert system fosters collaboration and quick decisions on content reuse.

Step 4: Send Weekly Email Report with Gmail

Automatically email a digest of top tweets to the marketing leads weekly.

• Trigger Node: Scheduled weekly trigger.
• Action Node: Gmail – Send Email with a curated list embedded from Google Sheets data.

Example email subject: "Weekly Top-Performing Tweets for Repurposing"

Step 5: Create Draft Posts in HubSpot

Automatically convert top tweets into blog post drafts or social posts in HubSpot for marketers to edit and publish.

• Action Node: HubSpot API – Create or Update Post with mapped fields:
  Title from tweet text snippet, Body includes tweet content plus expanded insights.

Detailed Breakdown of Each Node

Twitter API Request Node

• Method: GET
• URL: https://api.twitter.com/2/users/<user_id>/tweets
• Query Parameters: tweet.fields=public_metrics,created_at, max_results=100
• Headers: Authorization: Bearer <token>
• Error Handling: Retry on 429 with exponential backoff; log failures to Slack or monitoring system.

Google Sheets Append Row Node

• Spreadsheet ID: Your marketing tweet archive.
• Sheet Name: "Tweets"
• Fields: Tweet ID, Text, Likes, Retweets, Replies, Engagement Score
• Idempotency: Check if Tweet ID already exists to avoid duplicates.

Slack Notification Node

• Channel: #marketing-alerts
• Message: "Top Tweet Alert 🚨: {{tweet_text}} – Engagement: {{score}}"
• Rate Limits: Max 1 message per second, batch if needed.

Gmail Send Email Node

• From: marketing@yourdomain.com
• To: marketing-leads@yourdomain.com
• Subject: Weekly Top-Performing Tweets
• Body: HTML formatted table with tweets and metrics.

HubSpot Create Post Node

• API Endpoint: "/content/api/v2/blog-posts"
• Payload: title, body_html fields mapped from tweet data
• Security: Use OAuth tokens with least privilege scopes

Automation Platform Comparison: n8n vs Make vs Zapier

Platform	Pricing	Pros	Cons
n8n	Open source, free self-hosted; cloud plans from $20/mo	Fully customizable, no user limits, easy code nodes, strong community	Requires self-hosting expertise for advanced setups
Make (formerly Integromat)	Free tier with limited ops; paid from $9/mo	Drag & drop visual editor, built-in error handling, extensive app support	Limits on operations; slower for very complex workflows
Zapier	Free tier with 100 tasks/mo; paid plans from $19.99/mo	User-friendly, huge app integrations, fast setup	Task limits, less flexibility for custom logic

Polling vs Webhooks for Twitter Data Collection

Method	Latency	Complexity	Use Case
Polling	Low to Medium	Simple to implement	Regularly scheduled data fetches
Webhooks	Near real-time	More setup effort	Immediate reaction to new tweets/mentions

Choosing Between Google Sheets and a Database for Tweet Storage

Storage Option	Cost	Pros	Cons
Google Sheets	Free/Included with Google Workspace	Easy setup, collaborative, familiar UI	Limited to ~5 million cells, slower for large datasets
Cloud Database (e.g., Airtable, Firebase)	Varies; Airtable free limit 1,200 records	Better scalability, querying, indexing	More complex to configure and maintain

Integrating multiple services into automated workflows can be challenging, but platforms like RestFlow simplify complex orchestration. Explore the Automation Template Marketplace to jump-start your Twitter content automation projects today.

Robustness and Error Handling Strategies

Ensuring reliability in your automation avoids missing key content or flooding channels with duplicates.

• Idempotency: Use unique tweet IDs to prevent duplicate entries in Google Sheets or HubSpot.
• Retries: Implement exponential backoff on API rate limits or transient errors.
• Logging: Store workflow run logs and errors in central repositories or Slack alerts for visibility.
• Alerts: Notify team on critical failures to intervene quickly.

Security Considerations

• API Keys: Store securely in environment variables or Vaults; never hardcode.
• OAuth Scopes: Limit scopes to only necessary permissions, e.g., readonly Twitter metrics, posting drafts to HubSpot.
• PII: Avoid storing personal user data unnecessarily; anonymize if needed.
• Audit Logs: Maintain logs for compliance and troubleshooting.

Scaling and Adaptation

• Queues: Use message queues to handle bursts in Twitter data or Slack notifications gracefully.
• Concurrency: Limit parallel jobs to avoid exhausting API quotas.
• Webhooks vs Polling: For real-time workflows, shift to webhooks where API offers support.
• Modularization: Build reusable sub-workflows for tweet fetching, filtering, and posting.
• Versioning: Use version control for workflow definitions to manage updates.

Testing and Monitoring Your Automated Workflow

Use sandbox or staging Twitter accounts for initial tests to avoid polluting production data. Check run history and success rates in your automation platform. Set up alerts for anomalies like sudden drops in data fetching or posting errors.

Ready to streamline your marketing content with automation? Create Your Free RestFlow Account and start building your Twitter-to-post workflows today!

Conclusion

Automating how you pull top-performing tweets and repurpose as posts not only saves valuable marketing resources but also scales your content reach intelligently. By integrating tools like Twitter API, Google Sheets, Slack, Gmail, and HubSpot into streamlined workflows on platforms such as n8n, Make, or Zapier, you foster efficiency, accuracy, and agility in content strategy execution.

Implement robust error handling, monitor API limits carefully, and maintain strong security practices to ensure your automation runs smoothly at scale. Whether you are a startup CTO, automation engineer, or operations specialist in marketing, these workflows empower your team with actionable insights and fast content delivery.

Take the next step toward marketing automation success and create your free RestFlow account or browse top workflow templates in the Automation Template Marketplace to get started immediately.