Every creator marketing team eventually asks the same question: is this normal? Is a 2.4 percent engagement rate on Instagram good? Is a $9 CPM on TikTok competitive? Is $5 in revenue per dollar spent on influencer content a result worth building on?
The honest answer is: it depends on the platform, the tier, the category, and the campaign objective. But “it depends” is not a useful starting point for budget conversations, campaign planning, or evaluating whether a platform partner is performing. Benchmarks are.
This post pulls together the 2026 benchmarks that matter most across the platforms where creator marketing runs, with enough context to use them intelligently rather than as rigid targets.
That distinction matters. The benchmarks below are reference points. What you should actually be tracking is your own performance relative to these starting points, and whether it improves over time.
Michael Stelzner, Social Media Examiner
The mistake most brands make is chasing industry averages without asking whether those averages apply to their category, their audience, or their creative. Benchmarks tell you where the industry is. Your own trend data tells you whether you are improving.
Why Platform Benchmarks Diverge So Widely
Before getting into the numbers, it helps to understand why engagement rates, CPMs, and ROI vary so significantly across platforms. The differences are not random. They reflect structural differences in how each platform distributes content, what its users expect from it, and how commercial content performs within its native context.
Instagram has been the default creator marketing platform for most brands for nearly a decade. Its content formats span static posts, Reels, Stories, and carousels. Engagement benchmarks on Instagram have declined gradually over the past five years as the platform has grown and content volume has increased. What counts as strong performance today would have been average in 2020.
TikTok’s algorithm distributes content far more broadly beyond a creator’s follower base than Instagram does, which makes raw follower count less predictive of reach. This also inflates view counts and depresses engagement rates relative to follower base, making direct comparisons to Instagram benchmarks misleading.
YouTube is a long-form, search-driven platform where content lifespan is measured in years rather than days. Performance metrics (views, watch time, click-through on links) reflect fundamentally different user intent than short-form social platforms.
LinkedIn operates in a professional context with different audience intent, different content norms, and a very different relationship between creator and audience. Its engagement rates look low compared to consumer platforms, but a LinkedIn comment or share often represents a higher-quality interaction from a higher-value audience member.
Engagement Rate Benchmarks by Platform and Tier
Engagement rate is typically calculated as total engagements divided by total followers, expressed as a percentage. The pattern that holds across every platform is consistent: rates fall as tier rises. A nano-creator’s audience is almost entirely people who chose to follow specifically for their content. A mega-creator’s audience includes a significant proportion of passive followers who engaged once and have not actively watched since. The numbers reflect that dilution.
On Instagram, nano-creators (1,000 to 10,000 followers) typically deliver between 3.5 and 7 percent engagement. Micro-creators fall in the 1.8 to 4 percent range, mid-tier creators between 1.2 and 2.5 percent, macro-creators between 0.8 and 1.5 percent, and mega-creators at 0.5 to 1.2 percent. These figures have compressed over the past two years as Instagram’s feed algorithm has shifted more distribution toward Reels and paid content.
TikTok runs consistently higher across every tier. Nano-creators average 8 to 12 percent, micro-creators 5 to 8 percent, mid-tier 3.5 to 5.5 percent, macro 2.5 to 4 percent, and mega-creators 1.5 to 3 percent. The higher rates reflect TikTok’s more active commenting culture and the algorithm’s tendency to surface content to users who are genuinely in the mood to interact rather than passively scrolling.
YouTube engagement is better measured through view rate (the percentage of subscribers who watch a given video) than through the likes-and-comments calculation used for social platforms. A channel with 12 to 20 percent view rate at the micro tier is performing well. Macro and mega channels typically deliver 5 to 10 percent. The metric that matters more for brand partnerships is watch time percentage, which signals whether the audience is genuinely engaging with long-form content or dropping off before the integration appears.
LinkedIn sits at a different benchmark range and should be evaluated differently. Engagement rates of 0.5 to 2 percent are normal across all tiers, and they look unimpressive against consumer platform benchmarks. The relevant context is audience intent: a LinkedIn comment or share from a professional with purchasing authority represents a qualitatively different interaction than a heart on an Instagram post. Understanding how influencer rates are structured across platforms helps frame why LinkedIn creator partnerships can justify higher CPMs despite lower engagement rates.
CPM Benchmarks by Platform and Format
CPM, or cost per thousand impressions, is used both as a pricing model for large-scale influencer campaigns and as a normalised metric for comparing cost efficiency across platforms. The figures below represent market-rate ranges for branded content partnerships, not self-serve paid advertising CPMs.
On Instagram, feed posts run between $7 and $14 CPM, with the upper end applying to niche, high-engagement categories. Reels command a modest premium at $9 to $18, reflecting both the format’s stronger distribution and the higher production effort they typically require. Stories sit lower at $4 to $9 CPM, given their 24-hour lifespan and lighter production bar.
TikTok sponsored posts run between $4 and $11 CPM. The lower base CPM compared to Instagram reflects TikTok’s broader algorithmic distribution: a post that organically overperforms can deliver impressions well beyond what the creator’s follower base would predict, which makes the CPM more variable and harder to guarantee upfront.
YouTube in-video integrations have the widest CPM range of any platform, from $18 to $45, because the product itself varies enormously. A 30-second mid-roll mention in a general lifestyle video and a dedicated 10-minute review by a trusted category expert are not comparable purchases despite both carrying a “YouTube integration” label. The higher end of the range applies to creators whose audience actively relies on their recommendations and whose videos have strong long-term search performance.
LinkedIn’s CPM appears expensive at $18 to $55, but the premium reflects audience composition. A LinkedIn creator’s audience is primarily professional decision-makers, and the cost per impression against that specific group of people is actually competitive with how much it costs to reach the same demographic through other paid channels.
ROI Benchmarks by Campaign Objective
Influencer Marketing Hub’s benchmark research places the average return on influencer marketing investment at $5.78 per $1 spent across all platforms and categories. Top-performing programs significantly exceed this, with some brands reporting $20 or more per $1 invested when creator selection, content quality, and attribution methodology are all well-calibrated.
The more useful framing is ROI by campaign objective, since “influencer marketing ROI” covers fundamentally different types of investment depending on what the campaign is trying to accomplish.
For direct conversion campaigns, particularly ecommerce brands using tracked links and promo codes, Instagram and TikTok consistently deliver $4 to $9 per $1 spent when creator-brand fit and brief quality are strong. TikTok’s shorter consideration cycle and impulse-purchase dynamics tend to produce faster conversion windows. Instagram performs more consistently across a broader range of product categories.
For brand awareness objectives, TikTok and YouTube offer the strongest reach efficiency relative to paid social equivalents. A brand awareness campaign measured on reach per dollar and share of voice typically delivers 3 to 5 times the reach at equivalent CPM compared to running the same budget in paid social.
YouTube is the strongest platform for long-term brand building, where the return is measured over 12 months or more rather than within a campaign window. A well-executed YouTube integration in a creator’s video with strong organic search performance can drive attributable traffic and conversions for years after the original publication date. The upfront CPM looks expensive; the cost per conversion over the video’s lifetime often does not.
For B2B lead generation, LinkedIn creator programs run at $3 to $8 return per $1 spent when measurement accounts for pipeline influence rather than just immediate form fills. The metric that matters most in B2B creator marketing is not the number of likes a post receives but the quality of the conversation it starts and the deals it influences over a longer sales cycle.
Cost Per Engagement as an Efficiency Metric
Cost per engagement, calculated as total spend divided by total engagements, is useful for comparing creator partners within a platform. On Instagram, well-performing partnerships deliver between $0.08 and $0.35 per engagement. TikTok runs lower at $0.04 to $0.20, reflecting higher engagement volumes at lower CPMs. YouTube comments and shares, being rarer and more considered, run $0.25 to $1.20 per engagement. LinkedIn sits highest at $0.80 to $3.50 per engagement, for all the audience-quality reasons already covered.
Cost per engagement should not be used to compare across platforms. A LinkedIn share is not the same product as a TikTok like, and optimising across the two metrics leads to misallocated budget. Within a platform, it is a useful efficiency signal for choosing between creators at similar tier and category.
What Good Looks Like in Practice
Benchmarks tell you where the industry average sits. They do not tell you what your specific program should target. The variables that shift performance away from average include category, audience quality, and creative alignment.
Beauty and fitness categories consistently outperform food and travel on engagement rate benchmarks because the audience intent is more active and the content is more immediately actionable. A creator whose engagement rate sits at the category average but whose audience is 70 percent in-market for your specific product is more valuable than one who exceeds the benchmark with a broadly distributed audience that does not match your customer profile. And a creator whose content style naturally accommodates the product performs materially better than one who forces an integration.
How Scoop approaches creator discovery against specific campaign criteria contextualises why benchmarks are a starting point rather than a guarantee: the same engagement rate benchmark applies very differently depending on whether the creator’s audience and content style genuinely fit the campaign.
Building Your Own Benchmark Set
The most useful benchmarks for any creator program are eventually internal ones, built from your own campaign history. Industry benchmarks answer the question “what is typical?” Your own data answers “what is improving?” and “what is working for this specific brand in this specific category?”
Scoop is an AI platform that automates influencer discovery, outreach, and campaign management for brands. Its reporting infrastructure captures performance data at the creator level across every campaign, building a proprietary benchmark set that reflects what actually works for your brand rather than what works on average across the industry. Creator performance history informs discovery criteria for the next campaign, and rate benchmarks from past deals inform negotiation parameters going forward. The program gets smarter over time.
For teams running creator programs without centralised reporting infrastructure, the first step is building a consistent measurement framework before each campaign launches, so the data that comes back is comparable across campaigns and can be accumulated into a meaningful performance picture. Research from Sprout Social on social media measurement consistently shows that brands with a defined measurement framework before campaign launch report significantly higher satisfaction with influencer marketing results than those measuring retroactively.
Want reporting that builds your benchmark set automatically? Scoop is the creator marketing platform built for brand teams who need to scale campaigns without scaling headcount. Request a demo at scoop.app to see the full agent workflow in action.
