Simon Kemp (2026 Guide): How to Use His Reports for Smarter Influencer Decisions

By Jordan Kim

Creator Economy Reporter

Published 20 March 2026

Simon Kemp reports are a fast way to ground influencer planning in real numbers, but only if you translate the charts into decisions you can execute. In 2026, teams are juggling fragmented attention, inconsistent organic reach, and tighter budgets, so a clean workflow matters more than ever. This guide shows how to pull the right metrics from those reports, convert them into benchmarks, and then apply them to creator selection, briefs, and measurement. Along the way, you will learn the terms that often get mixed up, plus a few practical formulas you can reuse. Finally, you will get checklists and tables you can copy into your next campaign doc.

What Simon Kemp reports are – and how to read them

Simon Kemp is best known for publishing widely cited global digital trend reports that summarize platform usage, audience behavior, and advertising reach. The value for influencer marketing is not the headline number itself, but the direction of change and the context around it. For example, a platform can grow in users while organic distribution gets tougher, which changes how you price creator content and how you set expectations with stakeholders. Therefore, treat the report as a macro layer, then validate with your own campaign and creator data. A practical takeaway: use the report to set your starting assumptions, then adjust with niche and geo specific checks.

When you read any trend report, separate three buckets of data. First, adoption metrics (users, penetration, time spent) tell you where attention exists. Second, delivery metrics (ad reach, impressions potential, device mix) hint at how content and ads might scale. Third, behavior metrics (search interest, shopping behaviors, content formats) help you choose creative and calls to action. If you only copy the adoption chart into a deck, you miss the operational implications. Write one sentence under each chart: “So what does this change in our plan?” That single habit prevents data from becoming decoration.

To keep your interpretation honest, cross check definitions. “Users” can mean registered accounts, monthly active users, or estimated unique individuals. “Reach” in ad tools is typically an estimate, not a guarantee. “Time spent” can be self reported or modeled. If you need a grounding reference for ad reach definitions, Meta’s documentation is a useful baseline: Meta Business Help Center. Use it to align internal language before you negotiate deliverables with creators.

Key metrics and terms you must define early

Before you benchmark anything, define the terms in your brief so creators, agencies, and finance are speaking the same language. Otherwise, you will argue about performance after the content is live, when it is too late to fix the plan. Below are the core terms you should lock in during planning, with a simple “how to use it” note for each. As a rule, put these definitions in the first page of your campaign doc.

• Impressions – total times content is shown. Use for CPM calculations and frequency checks.
• Reach – unique accounts exposed. Use to estimate how many people you can realistically touch.
• Engagement rate – engagements divided by impressions or followers (state which). Use to compare creators within the same platform and format.
• CPM (cost per mille) – cost per 1,000 impressions. Use to compare influencer content to paid media and to normalize pricing across creators.
• CPV (cost per view) – cost divided by video views (define 3-second, 2-second, or completed view). Use for short form video buying and view guarantees.
• CPA (cost per acquisition) – cost divided by conversions (purchase, lead, sign up). Use when you have tracking and a clear conversion event.
• Whitelisting – creator grants access for the brand to run ads from the creator handle. Use to scale top posts with paid distribution.
• Usage rights – permission to reuse content (where, how long, and in what formats). Use to avoid legal risk and surprise fees.
• Exclusivity – creator agrees not to work with competitors for a period. Use sparingly because it raises rates and can reduce creator authenticity.

Concrete takeaway: add a “measurement method” line for each KPI. For example, “Engagement rate = (likes + comments + saves) / impressions, pulled from creator screenshots within 7 days.” That one sentence prevents mismatched reporting windows and inflated comparisons.

Simon Kemp reports to set benchmarks for reach, CPM, and engagement

Use Simon Kemp reports to set macro expectations, then translate them into campaign benchmarks you can defend. Start by choosing your primary market and platform mix, because global averages can hide big differences by country and device. Next, decide whether your campaign is optimized for awareness (reach and impressions), consideration (views and clicks), or conversion (CPA). Only then should you set numeric targets. A practical decision rule: if your objective is awareness, do not let “engagement rate” become the only success metric, because high engagement can come from small, highly active audiences that do not scale.

Here is a simple benchmark workflow you can run in under an hour:

1. Pull platform and audience trends from the report for your target region.
2. Write a one line hypothesis: “Platform X is gaining time spent, so short form video should deliver efficient reach.”
3. Pick 10 creators in your niche and collect recent post impressions, reach, and engagement.
4. Compute median CPM and median engagement rate by format (Reels, Shorts, TikTok, Stories).
5. Set targets using medians, not best case posts.

Metric	Formula	Best for	Common pitfall
CPM	(Total cost / Impressions) x 1000	Awareness, cross channel comparisons	Using follower count instead of impressions
CPV	Total cost / Views	Video view efficiency	Not defining what counts as a view
Engagement rate (by impressions)	Engagements / Impressions	Creative resonance	Comparing across different formats without context
CPA	Total cost / Conversions	Direct response	Attributing all conversions to last click only

Example calculation: you pay $2,500 for one short form video and the creator reports 120,000 impressions in 7 days. CPM = (2,500 / 120,000) x 1,000 = $20.83. If the same post gets 48,000 views, CPV = 2,500 / 48,000 = $0.052. Those two numbers let you compare the deal to your paid social CPM or to other creators, even if their follower counts differ.

Audit creators with a repeatable scorecard (with fraud and fit checks)

Trend data tells you where to play, but creator selection determines whether you win. Build a scorecard that blends quantitative checks (delivery and audience quality) with qualitative checks (brand fit and creative reliability). Start with three “must pass” gates: audience location match, content format match, and brand safety. Then score the remaining factors on a 1 to 5 scale so your team can compare creators without arguing from vibes. If you need a steady stream of practical evaluation ideas, the InfluencerDB Blog is a good place to pull frameworks you can adapt to your niche.

Fraud and inflation are still real in 2026, but the most common issue is not bots, it is misalignment between claimed audience and actual buyers. Use these checks before you sign:

• Consistency check – compare the last 10 posts. If one post is 10x the impressions of the rest, treat it as an outlier.
• Engagement quality – skim comments for relevance and language match to the claimed audience.
• Follower growth – look for sudden spikes that do not match content events.
• Audience proof – request platform screenshots for top countries, age bands, and gender split.
• Delivery proof – ask for average impressions by format, not just follower count.

Concrete takeaway: require a “recent performance pack” in your outreach template. One page of screenshots from native analytics beats a polished media kit because it reflects current distribution, not last year’s peak.

Scorecard area	What to look for	How to verify	Decision rule
Audience fit	Top countries, age, language, buyer intent	Creator analytics screenshots	At least 60% in target market for local launches
Delivery	Median impressions per post by format	Last 10 posts, median not mean	Use median to set guarantees and pricing
Creative fit	Tone, editing style, product integration skill	Watch 5 recent videos end to end	Reject if the CTA style clashes with your brand
Brand safety	Controversy risk, sensitive topics, disclosure habits	Scroll 90 days of content	Pause if disclosure is inconsistent
Operational reliability	On time delivery, responsiveness, revision history	Ask for references or agency notes	Prefer creators with clear process and timelines

Build a brief that turns trends into deliverables (and protects performance)

A strong brief is where macro trends become specific creative choices. Start with one sentence that states the audience and the job to be done. Then specify the format, hook, and proof points, because those are the levers that influence watch time and retention. Include a “non negotiables” list that covers brand safety, claims, and mandatory disclosures. At the same time, leave space for the creator’s voice, since forced scripts usually underperform. Practical takeaway: if you want performance, write constraints, not lines.

Include these brief components for most influencer campaigns:

• Objective and KPI – awareness (reach, CPM), consideration (views, CPV), conversion (CPA).
• Target audience – geo, age, pain point, and one behavioral insight from your research.
• Deliverables – number of posts, formats, length, and posting window.
• Creative guidance – hook ideas, product demo requirements, do not say list.
• Tracking – UTM links, discount codes, landing page, and reporting deadline.
• Rights and paid options – usage rights term, whitelisting, exclusivity if needed.

If you plan to run paid amplification, specify it up front. Whitelisting changes the value of the content because it becomes an ad asset, not just a post. Also, clarify usage rights in plain language: “Brand may use the video on its owned social channels for 6 months, paid ads excluded unless whitelisting is agreed.” That sentence prevents renegotiations after you find a winning creative.

Pricing and negotiation: a practical model you can defend

Influencer pricing is messy because it mixes media value, production value, and creator brand value. Instead of arguing about a flat fee, break the quote into components you can negotiate. Start with a base fee for the post, then add line items for usage rights, whitelisting access, exclusivity, and rush timelines. This approach keeps the relationship clean because you are not “discounting the creator,” you are adjusting scope. Concrete takeaway: always ask for a rate card that separates organic posting from paid usage.

Use this simple pricing model as a starting point:

• Base post fee – tied to expected impressions and creative effort.
• CPM floor – a minimum CPM you are willing to pay based on your channel mix.
• Production premium – added cost for complex shoots, travel, or multiple edits.
• Rights premium – added cost for usage rights and whitelisting.
• Exclusivity premium – added cost per month of category lockout.

Example negotiation math: you can afford a $25 CPM for awareness. A creator’s median impressions for similar posts are 80,000. Your “media value” ceiling for one post is 80,000/1,000 x 25 = $2,000. If the creator quotes $3,000, you can respond with options: keep $3,000 but add a second Story frame and 3 month usage rights, or reduce scope to one post with no usage rights at $2,100. You are negotiating deliverables, not just price.

When you need disclosure guidance, use an authoritative reference and bake it into the contract language. The FTC’s endorsement guides are the baseline for US campaigns: FTC guidance on endorsements. Even if you operate outside the US, the principles are a useful standard for clarity and transparency.

Measurement plan: reporting, attribution, and a clean post-campaign readout

Measurement fails when teams wait until the campaign ends to decide what “good” looks like. Set your reporting window (for example, 7 days for short form video, 28 days for conversion) and define who supplies what data. Creators should provide native screenshots for reach, impressions, and views. Brands should provide link clicks, landing page sessions, and conversion data. Then reconcile the two in one sheet so you can compare creators fairly. Practical takeaway: use the same window for all creators unless there is a clear reason not to.

Attribution is the tricky part. Discount codes and UTM links capture direct response, but they undercount influence on later purchases. Therefore, pair direct metrics with a simple incrementality proxy: compare conversion rate and traffic volume during the campaign to a pre campaign baseline. If you run whitelisted ads, separate organic post performance from paid performance so you do not penalize a creator for your media choices. For platform measurement definitions, YouTube’s help documentation can clarify view counts and analytics terms: YouTube Help.

Use this structure for your post-campaign readout:

• Inputs – spend, deliverables, rights purchased, posting dates.
• Outputs – reach, impressions, views, clicks, conversions.
• Efficiency – CPM, CPV, CPA, cost per click.
• Creative learnings – hooks that worked, objections handled, best CTAs.
• Next actions – creators to renew, formats to repeat, tests to run.

Common mistakes (and how to avoid them)

Most influencer programs do not fail because the creator was “bad,” they fail because the plan was vague. One common mistake is using global trend numbers to justify a platform choice without checking niche behavior. Another is pricing off follower count, which ignores how distribution actually works in 2026. Teams also forget to define views and engagement rate, so reports become apples to oranges. Finally, brands often buy usage rights after the fact, which is when creators have leverage and timelines are tight. Avoid these issues by setting definitions, using medians, and negotiating rights up front.

• Do not use a single viral post as the benchmark – use the median of recent posts.
• Do not accept “average views” without proof – request screenshots for the last 10 posts.
• Do not mix engagement rate formulas – pick one and document it.
• Do not skip whitelisting terms – specify access method, duration, and ad spend caps.

Best practices you can apply this week

Turn this guide into action with a short sprint. First, pick one market and one platform where you already have some creator history. Next, use the trend report to write two hypotheses about format and audience behavior, then test them with a small creator set. Keep the brief tight, measure with a consistent window, and document learnings in a shared sheet. Over time, your internal benchmarks will become more predictive than any public report, but the report will still help you spot shifts early. Practical takeaway: run one controlled test per month, then roll winners into always on partnerships.

Here is a simple 7 day implementation checklist:

1. Day 1: Define KPIs and measurement methods (CPM, CPV, CPA, engagement rate).
2. Day 2: Build a creator shortlist and request recent performance packs.
3. Day 3: Compute median impressions and draft pricing ceilings using CPM targets.
4. Day 4: Write the brief with rights, whitelisting, and exclusivity terms.
5. Day 5: Launch with tracking links and a reporting deadline.
6. Day 6: Monitor early signals and capture creative notes.
7. Day 7: Collect screenshots, calculate efficiency metrics, and decide renewals.

If you follow that loop, Simon Kemp reports become a starting point rather than the whole strategy. You will still benefit from the macro view, but your decisions will be anchored in repeatable math and real creator delivery.