To forecast pipeline from a B2B creator budget, work through five steps. Divide the budget by the price per post, apply a delivery rate to get published posts, estimate the visits each published post sends, apply your visit-to-opportunity rate, then multiply by your average contract value. Every rate except the post price should come from your own data.
This guide is for founders and marketing leads who need to justify a creator budget before spending it. It shows the arithmetic, a worked example with clearly labelled hypothetical rates, and how to replace those rates with measured ones after a first campaign.
Why forecast from posts, not clicks?
On Naano, each creator sets a fixed price per sponsored post, visible before you book. That makes the price the one certain input in the forecast. Delivery, visits and opportunities are the uncertain ones.
Naano earlier billed per click and retired that model in July 2026, so forecasts that start from a fixed click price no longer apply. Naano also does not publish a network cost per lead, effective CPC or click-through rate: tracked-link coverage is too partial for a network figure, with 62 of 89 completed bookings in the latest Naano Index snapshot carrying any click event.
The honest forecast therefore starts from what you know (the budget and the post prices) and treats everything else as an assumption to test.
What inputs does the forecast need?
The model needs seven inputs. The example values are used in the worked example below. Apart from the post price, they are hypothetical.
| Input | Where it comes from | Example value |
|---|---|---|
| Budget (B) | Your plan for the quarter | €6,000 |
| Price per post (P) | Each creator's listed price | €300, the median for 10,000–25,000 followers [Naano Index snapshot, 11 August 2026] |
| Delivery rate (D) | Published posts ÷ booked posts | 30%, 50% or 65% (hypothetical range) |
| Visits per published post (V) | Your own analytics, per tracked link | 40, 80 or 120 (hypothetical) |
| Visit-to-opportunity rate (O) | Your CRM | 0.5%, 1% or 2% (hypothetical) |
| Win rate (W) | Your CRM | 20% (hypothetical) |
| Average contract value (ACV) | Your CRM | €10,000 (hypothetical) |
For the post price, the Naano Index gives transacted medians by audience size: €84 per post under 5,000 followers, €180 at 5,000–10,000, €300 at 10,000–25,000 and €588 at 25,000–50,000 [Naano Index snapshot, 11 August 2026, n=300 bookings, 14 June – 11 August 2026]. See the LinkedIn sponsored post price index for the method.
How does the forecast work, step by step?
- Posts booked = B ÷ P. €6,000 at €300 per post books 20 posts.
- Posts published = posts booked × D. Not every booking ends in a live post. Of bookings that reached a final state, 30.4% of those under €200 ended in a live post, against 64.6% of those above €600 [Naano Index snapshot, 11 August 2026]. A €300 post sits between those two reference points, so the example uses a range.
- Tracked visits = posts published × V. This is the number your own analytics records on each creator's tracked link.
- Opportunities = tracked visits × O. Add opportunities where the buyer names the creator in a self-reported attribution field, since tracked links miss some visits.
- Pipeline = opportunities × ACV. Expected new ARR is pipeline × W.
What does the forecast look like in practice?
Run the same budget through three scenarios. Every rate below except the €300 price is hypothetical.
| Step | Low | Base | High |
|---|---|---|---|
| Posts booked (€6,000 ÷ €300) | 20 | 20 | 20 |
| Delivery rate | 30% | 50% | 65% |
| Posts published | 6 | 10 | 13 |
| Visits per published post | 40 | 80 | 120 |
| Tracked visits | 240 | 800 | 1,560 |
| Visit-to-opportunity rate | 0.5% | 1% | 2% |
| Opportunities | 1.2 | 8 | 31.2 |
| Pipeline at €10,000 ACV | €12,000 | €80,000 | €312,000 |
| New ARR at a 20% win rate | €2,400 | €16,000 | €62,400 |
The spread is wide because three of the rates are guesses. That is the honest output of a first forecast. It tells you the first campaign is a measurement exercise, and it shows which rates you need to measure to narrow the range.
Put the base case in front of finance, show the low case as the downside, and agree in advance what result would justify a second campaign.
Which input moves the forecast most?
The model multiplies its rates, so doubling any one of them doubles the pipeline. In practice, three inputs deserve most of your planning effort.
- Visit-to-opportunity rate. This depends mostly on how many of the creator's followers are your buyers. A creator whose audience matches your ideal customer profile will produce more opportunities per visit than a larger, broader audience. See how to vet a B2B LinkedIn creator's audience and nano vs macro creators in B2B.
- Delivery rate. It is the only rate with published reference points, and it differs by price band in the Naano Index. Budget on published posts, not booked ones. The creator campaign budget planner builds this in.
- Visits per published post. This depends on the post and the offer as much as on the creator. A clear brief and one specific next step help. See how to write a B2B sponsored post.
The post price matters less than it looks. A cheaper post that never publishes, or reaches the wrong audience, costs more per opportunity than a pricier post that does.
When does the pipeline show up?
Posts come first. The median time from booking to published post is 8.0 days, and the 90th percentile is 14.1 days [Naano Index, n=89]. Opportunities then follow over your normal sales cycle.
Build the forecast as a calendar, not a single number: posts published within the first two to three weeks, visits around each publication date, and opportunities spread over the weeks your buyers usually take to request a demo. How long a B2B creator campaign takes covers each stage.
How does the forecast compare with LinkedIn Ads?
LinkedIn Ads runs around €15–25 per click for mid-market B2B SaaS [LinkedIn B2B Marketing Benchmark, 2025]. At that range, €6,000 buys roughly 240–400 clicks.
Compare that with your own creator scenarios, but only with the same denominator: tracked visits against tracked visits, or accepted opportunities against accepted opportunities. Do not compare an ad form fill with a sales-accepted opportunity. LinkedIn Ads vs creator-led growth sets out that test.
How do you turn the forecast into a plan?
- Pull your real win rate and ACV from your CRM.
- Set the budget on published posts with the creator campaign budget planner.
- Book a pilot of several posts, not one, so the result is not a sample of one.
- Give each creator a tracked link and record conversions as your own events. Add a self-reported "How did you hear about us?" field to your forms. The B2B creator campaign tracking template sets this up.
- Replace the hypothetical rates with measured ones after the pilot, and re-forecast. Your second forecast will have a much narrower range than the first.
For how to report the result once it comes in, see how to measure the ROI of B2B creator marketing.
FAQ
How do you forecast pipeline from a B2B creator budget?
Divide the budget by the price per post to get posts booked. Apply a delivery rate to get posts published. Multiply by the visits each published post sends to your site, as measured in your own analytics. Apply your visit-to-opportunity rate, then multiply opportunities by your average contract value. The post price is known before booking; every other rate should come from your own data once a pilot has run.
What delivery rate should I use for sponsored creator posts?
Use a range, not a single number. In the Naano Index snapshot of 11 August 2026, of bookings that reached a final state, 30.4% of those under €200 ended in a live post, against 64.6% of those above €600. Plan your forecast on published posts, then replace the assumption with your own delivery rate after the first campaign.
Does Naano publish a click or lead cost to plan with?
No. Naano does not publish a network cost per lead, effective CPC or click-through rate, because tracked-link coverage is too partial: 62 of 89 completed bookings in the latest Naano Index snapshot carry any click event. Naano reports clicks, identified companies and leads per creator for your own campaign, and teams measure pilots with their own conversion events.
How long before a creator campaign shows up in pipeline?
Posts come first: the median time from booking to published post is 8.0 days, and the 90th percentile is 14.1 days (Naano Index, n=89). Opportunities then follow over your normal sales cycle. Start the measurement window from each post's publication date, and keep it at least as long as the time your buyers usually take to request a demo or talk to sales.
Start with a pilot you can forecast
Browse B2B creators and their fixed post prices on the LinkedIn creator marketplace. Self-Serve is €0 a month: you pay for the posts you book, with no minimum and no retainer. If you would rather the Naano team run it, Managed Campaigns start from €3,000 per month plus a creator budget from €6,000 per month, with a three-month minimum.
Related reading
- LinkedIn sponsored post price index 2026
- How much does B2B influencer marketing cost?
- LinkedIn Ads vs creator-led growth
- How to find B2B creators on LinkedIn
- Launch a B2B LinkedIn creator campaign
Sources cited
- Naano Index snapshot, 11 August 2026: n=300 bookings, 14 June – 11 August 2026; median transacted price per post by follower tier; delivery rate by price band.
- Naano Index, n=89 completed bookings: median 8.0 days from booking to published post, P90 14.1 days; 62 of 89 carry any click event.
- LinkedIn B2B Marketing Benchmark, 2025: LinkedIn Ads around €15–25 per click for mid-market B2B SaaS.

CMO & Co-founder
Alexis Jarre is CMO and co-founder of Naano. Before Naano, Alexis was a paid LinkedIn creator, publishing a sponsored post weekly for the startup Pletor.
Ready to try it
Run a creator-led growth campaign on Naano.
Book fixed-price LinkedIn creator offers without a platform retainer on Self-Serve. Compare eligible creators and track campaign outcomes.
