# Influencer Marketing ROI: How to Measure a Creator Campaign | Doomers AI Source: https://doomers.ai/guides/influencer-marketing-roi Updated: 2026-11-01 > How to measure influencer marketing ROI for a tech launch: what to count, how attribution works, what real launches returned, and a worked example you can copy. By [Doomers AI](https://www.linkedin.com/company/doomers-ai) Launch distribution for AI companies Guide · 7 min read # Influencer marketing ROI, *measured honestly* **Influencer marketing ROI is value minus cost, divided by cost, and on a launch most of the value never touches a tracked link.** This guide covers what to count, how to attribute it in three layers, what real launches returned and a worked calculation with example numbers. Influencer marketing ROI is the value a creator campaign produced, minus what it cost, divided by what it cost. For a tech launch the cost line is easy and the value line is the hard part, because most people who act on a creator post never click its link. This guide covers what to count for each kind of launch, how attribution works when the effect arrives days later, what real launches have returned, and a worked ROI calculation with example numbers. It is written from the buying side: Doomers AI pays a network of 1,000+ founders, engineers and creators to post about launches on X. **25%** Share of brands increasing their influencer budgets that track attributable revenue or sales, per [Influencer Marketing Hub's 2026 benchmark report](https://influencermarketinghub.com/influencer-marketing-benchmark-report/). Brand awareness is the most selected KPI, at 55.1% of those answering. ## The ROI formula, and the line that breaks it The formula is ROI = (value attributed to the campaign − campaign cost) ÷ campaign cost. A campaign that cost $40,000 and produced $100,000 of value returned 150%. The cost is the creator fees plus whatever you paid to select, brief and run them. The value is where teams go wrong, in two directions. Count only tracked clicks and a working launch looks like a loss, while pricing every view as if you had bought it as an ad makes almost anything look like a win. ## What to count for a tech launch Count the number this launch exists to move, and treat the rest as supporting evidence. A funding announcement judged on trials will always look like a failure, because almost nobody buys software because the vendor raised. | What you count | What it tells you | When it is the ROI number | |---|---|---| | Views, against your normal post | That the reach happened | Never on its own. It is the input to every other line. | | Bookmarks and quote posts per 1,000 views | Readers saving it to try and passing it on | An early read in the first 48 hours | | Signups or waitlist above baseline | Demand the launch added | Self-serve products and developer tools | | Demos and qualified conversations | Named accounts that came in | Enterprise products | | Pipeline and revenue | The money | At 30 and 90 days, once the sales cycle has run | | Investor inbound and applications | Who the raise reached | Funding announcements and stealth exits | [Attributing signups to a launch](https://doomers.ai/guides/launch-attribution) has the full list by launch type, including the numbers each one can safely ignore. ## How attribution works for a launch Leaving the app is expensive on X. An interested reader registers the name, then searches for you days later from a laptop and arrives as direct traffic. The launch caused the signup and left no fingerprint on it. So a launch is measured in three layers, each reported with its confidence stated: - **Tracked clicks.** One UTM link per creator, with the handle in utm_source. The smallest number and the most certain. - **Lift above baseline.** Signups, direct traffic and branded search against at least two weeks of numbers recorded before the launch. Real, and it is correlation. - **Self-reported.** A free-text "How did you hear about us?" field at signup. Directional, and the only instrument that reaches the reader who never clicked. The baseline has to exist before launch day. If nobody wrote down signups per day for the fortnight before, the middle layer cannot be built afterwards. ## Where earned media value fits Earned media value prices views at an ad rate: views ÷ 1,000 × CPM. At $6.50 per thousand, the median AI launch in the directory, 637,000 views, comes to about $4,141. Priced at the $40 to $50 creator rate it is $25,480 to $31,850, so the CPM you pick decides the answer. EMV is a convention for putting exposure in dollars, and AMEC's Barcelona Principles reject it as a measure of value. If you report it, state the CPM, count paid creator posts as spend, and put it below the outcomes. [The EMV calculator](https://doomers.ai/guides/earned-media-value-calculator) shows the working. ## What real launches returned These are outcomes from launches Doomers AI ran, with the source for each, and every view count updates from the [launch directory](https://doomers.ai/launches). None of them shows up in a tracked-click report. ### TypeSafe AI: signups, revenue and a raise TypeSafe AI launched Jev on 15 September 2026 from a founder account of about 1,500 followers, and the post stands at 40.1M views. The company accepted more than 150,000 waitlist signups in the first 24 hours, by its own figure. Sequoia's Pat Grady put Jev at $0 to $100M in revenue in its first seven days. Bloomberg reported a $7.5B valuation 24 days after the launch. An EMV figure on the same views prices at about $260,000 at an X ad rate, which predicts none of it. [The TypeSafe case study](https://doomers.ai/work/typesafe-ai-case-study) links every source. ### Codos: enterprise inbound Codos launched enterprise AI software from a founder account of about 1,800 followers. Two weeks later the founder's summary was "many VCs and many, many customers." Its 2,028 bookmarks are the closest thing X has to a list of buyers who mean to come back. [Read the Codos case study](https://doomers.ai/work/codos-case-study). ### Tuesday Labs and Skyfall AI: investors and audience VCs reached out to [Tuesday Labs](https://doomers.ai/work/tuesday-labs-case-study) after Voxel, launched from about 400 followers. [Skyfall AI's](https://doomers.ai/work/skyfall-ai-case-study) founder went from about 340 followers to 14,361, an audience every later post reaches for free. That owned audience is part of the return, and it lowers the cost of the next launch. ### Liquid AI: against its own last launch The fairest comparison is the same account. Liquid AI's Open d1 release on 7 October did 435K views, and LFM3 three weeks later, run by Doomers AI, did 2.4M. [The Liquid AI case study](https://doomers.ai/work/liquid-ai-lfm3-case-study) has the readings. ## A worked ROI calculation **Every number in this section is an example.** The signup figures follow the illustration in our [attribution guide](https://doomers.ai/guides/launch-attribution), and the spend and revenue figures are made up for the arithmetic. - **Spend:** $40,000, for example 20 creator posts at an average of $2,000, inside the ranges in [what creators charge on X](https://doomers.ai/guides/b2b-creator-rates). - **Baseline:** 40 signups a day for the two weeks before launch. - **Economics:** 10% of signups become paying, worth $1,200 in the first year, so each signup is worth $120. | Layer | Signups | Value at $120 | ROI on $40,000 | |---|---|---|---| | Tracked clicks | 61 | $7,320 | −82% | | Lift in launch week | about 400 | $48,000 | +20% | | Lift plus the new floor | about 1,450 | $174,000 | +335% | The last row assumes the daily baseline moved from 40 to 65 and held for six weeks, which adds 25 × 42 = 1,050 signups. Self-reported answers sit beside the table as a check: if 88 people name a creator or a post, the lift is believable. Report all three rows with their confidence. A single blended figure invites a finance team to ask how it was built, and the honest answer for the bottom row is correlation. ## When to read the number Read at 48 hours, 7 days, 30 days and 90 days. Views peak inside two days, while signups tail for weeks, branded search steps up and stays up, and a 60-day sales cycle shows up as revenue the following quarter. Many teams expect the money far sooner. In Influencer Marketing Hub's 2026 survey, 65.9% of those answering expect payback within a month and 48.4% within two weeks. A launch judged at two weeks is judged before most of its return has arrived, and [what a launch report should contain](https://doomers.ai/guides/launch-report) sets out the full readout. ## Questions we get asked ### How do you calculate influencer marketing ROI? Subtract the campaign cost from the value it produced, then divide by the cost. For a tech launch, value the signups, demos or pipeline the campaign added above your pre-launch baseline, and report tracked clicks, baseline lift and self-reported answers as separate lines with their confidence stated. ### What is a good ROI for an influencer campaign? Any figure above zero on a layer you can defend. Tracked clicks alone usually show a loss on a launch, because most readers search for you later, so judge the campaign on lift above baseline at 30 and 90 days and say which layer the figure comes from. ### Why do influencer campaigns show so few tracked clicks? Leaving the app is expensive on X, so interested readers note the name and look the company up later from another device. They arrive as direct traffic or branded search with nothing linking them to the post. Tracked clicks are the smallest and most certain part of the result. ### Is earned media value the same as ROI? Earned media value estimates what the same views would have cost as advertising, and nobody pays it to you. ROI compares real outcomes, such as signups, pipeline and revenue, with what the campaign cost. AMEC's Barcelona Principles reject advertising-equivalent measures as a value of communication. ### How long should you measure an influencer campaign for? Ninety days, with reads at 48 hours, 7 days, 30 days and 90 days. Views peak inside two days, but signups tail for weeks, branded search tends to settle above its old level, and sales cycles push revenue into the following quarter. About Doomers AI [Doomers AI](https://www.linkedin.com/company/doomers-ai), launch distribution for AI companies Doomers AI has delivered 200M+ impressions across the launches it has run, including [TypeSafe AI](https://doomers.ai/work/typesafe-ai-case-study), [Tavus](https://doomers.ai/work/tavus-griffin-case-study), [Skyfall AI](https://doomers.ai/work/skyfall-ai-case-study) and [Pine](https://doomers.ai/work/pine-computer-case-study). It works with 20+ unicorns and 50+ earlier-stage companies, and its network of 1,000+ creators does more than 1B views a month. team@doomers.ai ## Keep reading Attributing signups to a launch The baseline, the UTM scheme and the one question that catches the rest. Earned media value calculator What a post on X is worth at an ad rate, and why the CPM decides it. What a launch report should contain The numbers to ask for after launch day, and how to read them. ## Plan a launch you can *measure* We will show you what launches like yours did in the directory and what to baseline before the day.