Templates
Social Media Competitor Analysis Template and Example
Published by Influence
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A social media competitor analysis compares how other businesses address the audience you want to reach. Choose a small, relevant group, examine the same period and separate visible evidence from guesses about performance. The useful result is a specific content decision: a question to answer better, a format to test or a claim you can support with stronger evidence. You can copy the worksheet below without signing up.
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Which competitors should you compare?
Start with three to five accounts. Include direct alternatives a customer might buy, an indirect alternative that solves the same problem and, if useful, one publisher competing for the audience’s attention. A large entertainment account may inspire a format but make a poor commercial benchmark. Match market, language and audience before comparing follower counts.
This worksheet examines other accounts’ public content. Use the social media audit template to review your own account health, access and historical results. Then bring the most relevant competitive findings into your social media strategy.
How to run a fair content comparison
- Define the decision first. For example: “Which beginner questions should our repair shop answer next month?” Choose the channel, language, dates and inclusion rule before browsing.
- Use a consistent sample. Review every eligible post in a manageable period, or a fixed selection rule when the account publishes too much. Include ordinary posts, not just the most successful-looking examples.
- Record evidence beside each observation: public post link, publication date, format, topic, opening message, offered proof and next action. Note when a visible count was checked.
- Keep unknowns unknown. Public posts usually cannot establish organic reach, advertising spend, qualified leads, conversion rates or revenue. Hidden counts are missing data, not zero.
- Identify repeated questions and omissions. Describe the audience’s unanswered task, then propose an original answer using your own expertise or authorized evidence. Do not copy another creator’s wording or artwork.
What can public data actually tell you?
| Observation | Reasonable use | What it does not prove |
|---|---|---|
| Repeated questions in comments | Find an explanation your audience may need | How common the issue is across all customers |
| Visible likes and comments | Describe interaction within the recorded sample | Reach, sales, sentiment or return on investment |
| A recurring demonstration format | Understand the questions and evidence used | That the format caused growth |
| Published frequency | Estimate the visible output during the window | Team size, budget or a sustainable schedule for you |
Copy the competitor analysis template
Decision to support: [one question]
Audience and market: [customer, language, location]
Sample: [platform, start/end dates, inclusion rule, checked date]
Account and role: [name, public URL, direct/indirect/attention competitor]
Post evidence: [public URL, date, topic, format, opening, proof, next action]
Visible interactions: [metric, count, checked date, unavailable fields]
Repeated audience question: [exact concern, without personal details]
What works for the reader: [specific observation and evidence]
What remains unclear: [missing explanation or unsupported claim]
Our response: [original answer, evidence, format, owner]
Test and review: [scope, success measure, date, decision]
Worked example: a bicycle repair shop
The following businesses, observations and results are fictional. They demonstrate the method, not competitor research or an industry benchmark. Harbor Cycles wants to help first-time commuters choose a repair service. Its owner reviews all Instagram feed posts from three local alternatives over the same four weeks: 12 posts from Shop A, eight from Shop B and ten from Shop C.
Fictional example
Question: What information would help a first-time commuter book a basic bicycle service?
Sample finding: Shop A shows six finished repairs but does not describe what its basic service includes. Shop B publishes three maintenance tips. Shop C posts four promotions. These categories may overlap with other topics.
Evidence recorded: One worksheet row per post, with its public URL and check date. Reach, advertising spend and bookings are unavailable.
Audience concern: Two public comments ask whether a basic service includes replacement parts. Two comments are a clue, not a population estimate.
Original response: Create one illustrated checklist explaining Harbor Cycles’ actual service steps, what is excluded and when staff provide a separate parts quote.
Test: Publish the checklist and one short explanation. Record booking-page visits using the existing measurement setup and log relevant customer questions for four weeks.
Decision: Keep or revise the explanation based on whether customers understand the offer. Do not claim that a change in bookings was caused by these two posts alone.
Turn findings into one useful experiment
Prioritize gaps you can answer credibly and maintain. “Competitor posts more video” is an observation; “show how we inspect worn brake pads” is an actionable idea. Choose one change at a time when practical. Record the starting point, comparable observation window and anything else that changed, such as a promotion or seasonal demand.
Put the selected experiment in your content calendar. Revisit the comparison when your offer, market or channel changes; a lighter periodic check is often more useful than collecting a large spreadsheet nobody uses.
Should you calculate a competitor’s engagement rate?
Only if you state exactly which visible interactions and denominator you used. A follower-based rate is not a reach-based rate, and neither reveals sales. Compare like-for-like formats and windows, report missing fields and avoid treating small differences as proof of superiority. Our engagement rate guide explains denominator choices.