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Analyze Competitor Content Engagement Patterns

Analyze how competitor content performs on social media to identify what resonates with your shared audience. Discover content gaps, refine your strategy, and make data-driven decisions about your content investments.

Analyze Competitor Content Engagement Patterns

The Problem

Understanding competitor content performance provides critical strategic intelligence, but gathering and analyzing this data presents significant challenges.

Competitor analytics are hidden

You can see likes and comments, but not impressions, reach, or conversion metrics. Surface numbers tell an incomplete story.

Manual tracking is tedious

Recording engagement across dozens of competitor posts weekly takes hours of repetitive work.

Patterns require volume

Identifying what actually works requires analyzing hundreds of posts over months, not just recent highlights.

Context changes interpretation

A post with 1,000 likes might be excellent for one competitor and underperforming for another. Baseline comparison is essential.

The Workflow

Build a systematic competitor content analysis process that reveals what drives engagement in your market.

Example Queries

Ask Claude in natural language. Here are some examples with the underlying API calls:

Gather competitor content history

>"Get all posts from @competitor_account for the past 6 months. Include text, likeCount, retweetCount, replyCount, createdAtDate."

countTweetsClaude uses countTweets to gather competitor content history.

Analyze engagement patterns

>"Find @competitor's posts that received more than 500 likes. Include text and createdAtDate to identify high-performing themes."

getTwitterPostsByKeywordsClaude uses getTwitterPostsByKeywords to analyze engagement patterns.

Compare multiple competitors

>"Compare average engagement for posts from @competitor_A and @competitor_B over the past 90 days. Which topics drive the most interaction?"

getTwitterPostsByAuthorClaude uses getTwitterPostsByAuthor to compare multiple competitors.

Why XPOZ

Historical data access

Analyze months of competitor posts without manually archiving content.

Complete engagement metrics

Get likes, retweets, replies, and quotes for comprehensive performance analysis.

Bulk export capability

Export thousands of posts as CSV for statistical analysis.

Cross-platform coverage

Analyze competitor performance on Twitter, Instagram, and Reddit.

Natural language queries

Describe what you want to analyze instead of constructing API calls.

Frequently Asked Questions

Xpoz provides access to historical social data. Most competitor content from the past 12+ months is typically available.

Xpoz's database may retain posts even after they're deleted from the live platform, providing insight into content competitors chose to remove.

Calculate engagement rate (likes + comments / followers) rather than raw counts. Xpoz provides follower counts for accounts to enable this calculation.

Get Started

Begin analyzing competitor content in under five minutes:

1

Connect Xpoz MCP: Add https://mcp.xpoz.ai/mcp as a connector in Claude

2

Query your competitors' recent posts

3

Export to CSV for pattern analysis

Xpoz includes 100,000 free results per month.

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