Social Media Benchmarks Are Lying to You
Social media benchmarking is the practice of measuring your performance against industry averages, competitor data, and platform norms to understand whether your results are genuinely good or just good-looking. Done well, it tells you where you stand, what to chase, and what to stop defending. Done poorly, and it gives you a false sense of progress while the real problems go unaddressed.
Most teams do it poorly. Not because they lack data, but because they benchmark the wrong things against the wrong comparators and draw conclusions that feel reassuring rather than useful.
Key Takeaways
- Benchmarking against industry averages is often misleading: your audience, creative quality, and posting frequency create a context that generic benchmarks cannot account for.
- Engagement rate is the most commonly tracked social metric and one of the least commercially meaningful on its own. Always tie it to a downstream outcome.
- The most useful benchmark is your own historical performance, tracked consistently over time, not a competitor’s number from a third-party report.
- Platform algorithm changes routinely invalidate benchmarks. A number that was accurate six months ago may be structurally impossible to hit today.
- Benchmarking should answer a business question, not produce a slide for a monthly report. If you cannot articulate what decision the benchmark informs, it is probably decorative.
In This Article
- Why Most Social Media Benchmarks Are Structurally Flawed
- Which Metrics Are Worth Benchmarking
- How to Build Benchmarks That Are Actually Useful
- The Problem With Competitor Benchmarking on Social
- Platform Benchmarks: What the Numbers Mean in Context
- When Benchmarks Become an Excuse
- Building a Benchmarking Cadence That Sticks
Early in my career I spent a lot of time defending performance numbers by pointing to industry benchmarks. If our click-through rate was above average, the work was working. If our engagement rate outperformed the category, the content was resonating. It took me longer than I would like to admit to realise that “above average” is not a business outcome. It is a comfort blanket. The question that actually mattered was whether the social activity was driving anything real, and benchmarks were often the thing stopping us from asking it.
Why Most Social Media Benchmarks Are Structurally Flawed
The benchmarking reports that circulate across the industry, the ones that tell you the average engagement rate on Instagram for a brand in your category is 1.2%, are built from aggregated data across thousands of accounts with wildly different follower counts, content strategies, posting frequencies, and audience compositions. They are statistical averages of incomparable things.
A brand with 2,000 highly engaged followers in a niche B2B category will show a very different engagement rate than a brand with 200,000 followers built through a giveaway campaign three years ago. Both numbers go into the average. Neither is a useful comparator for the other.
When I was running an agency and we grew the performance team from around 20 people to over 100, one of the discipline problems we had to break early was the habit of presenting industry benchmarks as proof of success. A client in financial services with a genuinely hard compliance brief and a conservative audience was being benchmarked against the broader financial services average, which included fintechs with irreverent creative and younger audiences. The benchmark looked fine. The performance was not. We had to build internal benchmarks based on that client’s own historical data before we could have an honest conversation about what improvement actually looked like.
Tools like SEMrush’s social media analytics overview give a reasonable starting point for understanding what metrics to track, but they cannot tell you what a good number looks like for your specific situation. That context has to come from you.
Which Metrics Are Worth Benchmarking
Not all social metrics deserve equal attention, and the ones that get the most airtime are often the least useful. Here is how I think about the hierarchy.
Reach and Impressions
These tell you whether your content is being distributed. They are worth tracking as a baseline health metric, particularly if you are trying to grow awareness in a new market or with a new audience segment. But reach without any downstream signal is just noise. A post that reaches 50,000 people and drives zero meaningful action is not a success, regardless of what the benchmark says about average reach for your category.
Engagement Rate
Engagement rate is calculated differently across platforms and even across reporting tools, which makes cross-platform benchmarking particularly unreliable. Some tools calculate it against reach, others against followers, others against impressions. Before you benchmark your engagement rate against anything external, make sure you know exactly how the number is being calculated and that the comparator is using the same formula.
More importantly, engagement rate tells you about content resonance, not commercial impact. It is a useful creative signal. It is a poor proxy for business performance. I have seen plenty of highly engaging social content that drove no meaningful commercial outcome, and I have seen low-engagement content that consistently moved product. The two things are related but not the same.
Click-Through Rate
Click-through rate is more commercially meaningful than engagement rate because it represents an action with intent behind it. Someone clicking through to your site or landing page has done something. Whether that something converts is a separate question, but CTR at least gets you into a commercial conversation. Benchmark it against your own historical performance first, then use platform averages as a secondary reference.
Follower Growth Rate
Follower growth is worth tracking as a directional indicator of audience health, but it is easily gamed and often misleading. A brand that runs a competition will spike its follower count and then watch engagement collapse as those followers disengage. Track growth rate over time, but always look at it alongside engagement and reach to understand whether the audience you are building is a real one.
For a broader view of how social content strategy connects to these metrics, this piece on optimising social media content covers the relationship between content decisions and measurable outcomes.
If you want to go deeper on how social benchmarking fits into a broader social media marketing approach, the Social Growth & Content hub on The Marketing Juice covers strategy, channels, and measurement in more detail.
How to Build Benchmarks That Are Actually Useful
The most reliable benchmark you have is your own historical performance. It accounts for your audience, your content quality, your posting frequency, and your platform mix. It is not affected by a competitor’s giveaway campaign or a change in another brand’s strategy. And it gives you a baseline that is genuinely comparable over time, because the underlying conditions are the same.
Here is how I would approach building an internal benchmarking framework.
Step 1: Define the Metrics That Connect to Business Outcomes
Start with the question: what is this social activity supposed to do for the business? If the answer is brand awareness, then reach, impressions, and share of voice are your primary metrics. If the answer is lead generation, then CTR, landing page conversion rate, and cost per lead belong in the frame. If the answer is customer retention, then you are probably tracking different things entirely, engagement from existing customers, sentiment, response rate to service queries.
The mistake most teams make is tracking everything and benchmarking nothing against a clear business objective. You end up with a dashboard full of numbers and no clear story about whether the work is working.
Step 2: Establish a Consistent Measurement Baseline
Pick a measurement approach and stick to it. If you change how you calculate engagement rate halfway through the year, your benchmarks become meaningless. This sounds obvious but it is a genuine operational problem in most teams, particularly when platforms update their native analytics or when agencies change reporting tools. Sprout Social’s scheduling and analytics features can help with consistency here, particularly if you are managing multiple accounts or platforms.
Step 3: Segment Your Benchmarks by Content Type
Averaging performance across all your content types produces a number that is accurate about nothing. A short-form video will perform differently to a static image, which will perform differently to a long-form carousel. If you benchmark them together, you lose the signal in each. Build separate benchmarks for each content format, and track them independently. This is how you identify which formats are actually working and which are dragging your average down.
Step 4: Review Benchmarks Quarterly, Not Monthly
Monthly benchmarking is too short a window to draw meaningful conclusions from social performance. Platform algorithm changes, seasonal patterns, and content mix variations all create noise at the monthly level. Quarterly reviews give you enough data to see genuine trends rather than reacting to fluctuations. I have watched teams make significant strategic pivots based on a single bad month of social data, only to see performance recover the following month without any changes. Patience is underrated in social analytics.
The Problem With Competitor Benchmarking on Social
Competitor benchmarking on social is genuinely difficult because you are working with incomplete information. You can see the output, the posts, the engagement numbers, the follower counts. You cannot see the input: the budget, the team size, the paid amplification, the dark social activity, the influencer spend that is driving organic-looking numbers.
I judged the Effie Awards for a period, and one of the things that experience reinforced was how misleading surface-level performance looks from the outside. Campaigns that appeared to be generating organic momentum were often heavily seeded. Accounts that looked like they were growing through great content were often supported by significant paid follower acquisition. The numbers you can see from a competitor’s public profile are a fraction of the real picture.
That does not mean competitor benchmarking is worthless. Tracking share of voice, monitoring content themes, and understanding how competitors position themselves on social are all legitimate strategic activities. But using a competitor’s engagement rate as a performance target for your own account is a mistake, because you do not know what is producing that number.
A more honest approach to competitor analysis on social is to track directional trends rather than absolute numbers. Is their follower growth accelerating or stalling? Are they shifting content formats? Are they increasing or decreasing posting frequency? These directional signals are more reliable than specific metrics, because they reflect strategic choices rather than outputs that could be inflated by spend you cannot see.
Platform Benchmarks: What the Numbers Mean in Context
Each platform has its own engagement norms, and those norms shift as platforms evolve their algorithms. What follows is not a set of fixed targets but a framework for thinking about platform-specific benchmarking.
Instagram engagement rates have declined significantly as the platform has grown and shifted toward Reels as its primary distribution mechanism. Accounts with smaller, more niche followings tend to show higher engagement rates than large brand accounts. If you are benchmarking Instagram performance, segment by follower count before drawing any conclusions. A 2% engagement rate means something very different for an account with 5,000 followers than for one with 500,000.
LinkedIn engagement benchmarks are particularly unreliable because the platform’s algorithm heavily favours personal profiles over company pages, and the ratio of personal to company content varies enormously across industries. B2B brands that rely primarily on company page posts will consistently underperform benchmarks that include personal profile data. If you are benchmarking LinkedIn performance, make sure you are comparing like for like: company pages against company pages, personal profiles against personal profiles.
X (formerly Twitter)
X has seen significant changes to its algorithm and user behaviour since 2022, which means any benchmark data from before that period is of limited use. If you are tracking X performance, your internal historical data from the past 12 to 18 months is more reliable than any industry report that aggregates older data.
TikTok
TikTok’s discovery algorithm means that follower count is a poor predictor of reach, which makes traditional benchmarking models almost irrelevant. A brand with 1,000 followers can reach 500,000 people with a single video. Benchmarking reach or impressions on TikTok against follower-based averages will produce meaningless numbers. Focus instead on video completion rate and profile visit rate as indicators of genuine audience interest.
For teams thinking about how social fits into a broader digital strategy, Mailchimp’s social media strategy resource offers a useful structural overview, particularly for smaller teams building their approach from scratch.
When Benchmarks Become an Excuse
There is a version of social media benchmarking that functions as a defence mechanism rather than a diagnostic tool. You present numbers that are above the industry average, and the conversation about whether the activity is actually working gets deferred. I have been in those meetings, on both sides of the table, and the benchmark is almost always doing exactly that work: closing down the question rather than opening it up.
The honest version of benchmarking asks: given everything we know about our audience, our content quality, our posting frequency, and our paid support, are these results as good as they should be? That is a harder question than “are we above average?” but it is the one that leads somewhere useful.
I think about this in terms of a principle I have come back to repeatedly over the years: a lot of what performance marketing gets credited for was going to happen anyway. Someone who is already in market, already aware of your brand, already inclined to buy, will click your social ad and convert. The metric looks great. But you did not cause that outcome, you just intercepted it. The same logic applies to social benchmarking. Performing well against a low benchmark in a low-competition category does not mean your social programme is driving growth. It might just mean your category is easy.
For a broader view of social media marketing strategy, content planning, and channel selection, the Social Growth & Content section of The Marketing Juice covers the full picture across organic, paid, and measurement.
Building a Benchmarking Cadence That Sticks
The operational challenge with benchmarking is not the analysis, it is the consistency. Most teams do a thorough benchmarking exercise once, produce a report, and then let the cadence slip. Six months later they are making decisions without a clear baseline, and the benchmarking report is already out of date.
A sustainable benchmarking cadence looks something like this. Weekly, you track raw performance metrics: reach, impressions, engagement, clicks. You are not drawing conclusions at this level, you are just keeping the data clean and consistent. Monthly, you review content performance by format and identify any significant deviations from your established baseline. Quarterly, you do a proper benchmarking review: compare your performance against your own historical data, review any relevant industry benchmarks with appropriate scepticism, and assess whether your benchmarks themselves need to be updated.
Tools like Buffer’s social media planning resources can help with the operational side of keeping content and measurement aligned, particularly if you are managing multiple platforms with a small team. And SEMrush’s social media marketing guide for small businesses is worth reading for its practical take on prioritising what to measure when resources are limited.
The goal is not a perfect benchmarking system. The goal is honest approximation: a clear enough picture of where you stand that you can make better decisions than you would without it. That is what good benchmarking actually delivers.
About the Author
Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.
