On this page
- The board wants three slides, not your dashboard
- Label every number with how much you actually know
- Slide one: money in, pipeline out, nothing else
- Slide two: three readings of the same quarter
- Slide three: the things you are not claiming
- Script the answer to the question about causation
- The holdout test that upgrades an inferred number
- When the board still says no, and what that actually means
Build three slides, not a dashboard. Slide one is money in and pipeline out, taken only from systems that count rather than estimate. Slide two shows three independent readings of the same quarter, each labelled with how much you actually know. Slide three lists what you are not claiming and names the decision you want. Label every number Counted, Traced, Self-reported or Inferred, and ask for budget only on the first three.
The board wants three slides, not your dashboard
Three slides, in a fixed order: what it cost and what it produced, three independent readings of the same period, and the list of claims you are deliberately not making. That sequence works because it answers questions in the order a board actually asks them, and because it puts the weakest evidence last rather than hiding it in a footnote.
The failure mode is bringing the analytics dashboard into the room. A dashboard is built for the person who tunes the channel every week. A board meets for two hours to allocate capital across everything the company does, and nobody in that room is going to convert impressions into a funding decision on your behalf. If you present a chart, you have handed the interpretation to people whose default interpretation is scepticism.
Total cost of the LinkedIn programme over a stated period, opportunities created in the same period, and the two ratios that fall out of those. Nothing else appears on this slide.
Three separate readings of the same quarter, each with its confidence rung printed beside it, and an explicit note on where the three disagree with each other.
A written list of the things this data does not prove, followed by the single decision you are asking the board to make and the condition under which you would stop.
of B2B marketers use LinkedIn for lead generation. This is the number founders reach for first and it belongs nowhere near slide one, because a board is not deciding whether the channel exists, it is deciding whether yours works.
LinkedIn, 2026Label every number with how much you actually know
Put a confidence rung next to every figure on the slide, as a printed label rather than a verbal caveat. Boards do not distrust small numbers, they distrust numbers of unknown provenance, and one unlabelled figure makes the audience discount the labelled ones sitting next to it.
The rule that makes the ladder worth having is a spending rule. Rungs one, two and three can support a request for budget. Rung four supports a request for a test with a stated end date and a kill condition, and nothing more. A finance director who watches you refuse to over-claim on your own weakest evidence will extend more trust to your strongest evidence than any chart would have earned.
Slide one: money in, pipeline out, nothing else
Six lines maximum, every one of them Counted except the credited opportunity line. The discipline is subtractive: if a line cannot be traced back to a billing export, a payroll allocation or a CRM stage timestamp, it does not go on slide one. Move it to slide two where its uncertainty can be labelled properly.
| Line | Where the number comes from | Rung | Illustrative figure |
|---|---|---|---|
| LinkedIn ad spend, 12 months | Campaign Manager billing export | Counted | 48,000 |
| Content and production cost | Invoices plus an allocated share of salary | Counted | 18,000 |
| Opportunities created, all sources | CRM, date the stage was entered | Counted | 62 |
| Opportunities credited to LinkedIn | CRM source fields after arbitration | Traced or Self-reported | 23 |
| Of those, carrying a traced click | CRM, identifier written at first touch | Traced | 14 |
| Closed won revenue from the 23 | Accounting system, not the CRM | Counted | 210,000 |
Illustrative only. The figures are assumptions for the worked arithmetic below and should be replaced with your own exports before anyone sees this slide.
Now do the arithmetic in front of them, and do it twice. Total programme cost is 48,000 plus 18,000, which is 66,000. Divided across all 23 credited opportunities that is roughly 2,870 per opportunity. Divided across only the 14 that carry a traced click it is roughly 4,714. Revenue of 210,000 against 66,000 of cost is a 3.2 times return on the generous reading.
Present both numbers. The generous reading is the one you believe, the conservative reading is the one that survives a hostile question, and volunteering the second before anyone asks for it is the single highest return move in the whole deck. If your cost per lead sits outside every figure you have read online, that is expected, and why published cost per lead figures disagree is worth understanding before you let anyone benchmark you against a blog post.
Slide two: three readings of the same quarter
Show the same period measured three different ways, and show where the three disagree. Agreement between three imperfect methods is the strongest honest claim available to a company without an attribution platform, and it is far more persuasive than one confident number from one system.
| Reading | Method | Rung | What it cannot tell you |
|---|---|---|---|
| Traced | CRM records holding a LinkedIn identifier written at first touch | Traced | Anything about buyers who never clicked a link, which is most of them |
| Self-reported | Free text on the enquiry form and the answer given on the discovery call | Self-reported | Whether the buyer remembers accurately or is being polite |
| Correlation | Monthly posting volume plotted against opportunities created | Inferred | Whether a third factor moved both, such as a conference season or a launch |
Three readings of one quarter. Each one is wrong in a different direction, which is exactly why you run all three.
The instinct is to reconcile the three into one number before the meeting. Resist it. A board that sees three readings converge draws the conclusion itself, and a conclusion the audience reaches is stickier than one you assert. Where the readings diverge, say which one you trust and why, in one sentence, then move on.
Building the traced and self-reported readings is a Monday morning job rather than a software purchase, and the method for it is written up in full in attributing pipeline to organic posts, including the arbitration rule for the case where the two readings name different channels for the same deal.
- A board does not reject LinkedIn because the numbers are small, it rejects LinkedIn because the numbers arrive without a stated confidence level and one weak claim contaminates the whole deck.
- Every figure you present belongs on one of four rungs: Counted, Traced, Self-reported or Inferred, and the rung is printed next to the number rather than explained out loud.
- Show the generous reading and the conservative reading of the same quarter side by side, because the person who volunteers the conservative number is the person the finance function starts believing.
- The third slide is a written list of what you are not claiming, and it is the slide that buys you credibility for the two before it.
- An Inferred number can win you a test with a kill condition attached, but it should never be used to request a permanent budget line.
Slide three: the things you are not claiming
Write the disclaimers as a list on a slide, not as a sentence you mumble. This is the slide nobody else brings, and it is the reason the previous two slides get believed. A person who states the limits of their own evidence is read as competent, and a person who states none is read as selling.
- We are not claiming LinkedIn created this demand. We are claiming it is where a measurable share of it surfaced first.
- We are not claiming the 23 credited opportunities would have been zero without LinkedIn. Some share of them would have found us another way.
- We are not claiming the traced number is complete. Referrer data is lost routinely on mobile, so the traced figure is a floor rather than a total.
- We are not claiming a causal link between posting volume and pipeline. The two moved together, which is not the same statement.
- We are not comparing our engagement rate to any published benchmark, because those are drawn from different account sizes and different industries.
Finish the slide with the decision. One sentence naming what you want, one sentence naming what would make you recommend stopping. A budget request without a stated kill condition reads as an open ended commitment, and open ended commitments are the thing boards are institutionally built to refuse.
Script the answer to the question about causation
The CFO will ask how you know LinkedIn caused any of it, and the correct answer starts by conceding that you do not. Every other answer sounds like evasion, and the moment a finance function decides you are evading, the meeting is about your credibility rather than about the channel.
We cannot prove causation, and I will not pretend otherwise. Twenty three of the sixty two opportunities we created carry a LinkedIn touch. Fourteen of those carry a click we can trace to a specific record. The other nine told us in their own words on the discovery call. Pipeline moved in the same direction as posting volume in seven of the last twelve months, which is a correlation and I am labelling it as one. I am not claiming LinkedIn created this demand. I am claiming it is currently the cheapest place we find it, and I have designed a test that would change my mind if it comes back flat.The script, adapt the figures to your own exports
Three things are happening in that script. You concede the strong claim before it is taken from you. You give the numbers in descending order of confidence so the weakest one arrives after trust is established. You end on a test, which converts the conversation from a verdict on the past into a decision about the next quarter, and a decision is something a board knows how to make.
Never answer this question with platform-level statistics. Telling a board that four out of five LinkedIn members drive business decisions answers a question about the channel in general when you were asked a question about your company in particular, and the substitution is obvious to everyone in the room.
The holdout test that upgrades an inferred number
One test moves a number from Inferred to something defensible: withhold the activity from a matched slice of your market and compare. It is the only method available to a company without an attribution platform that produces evidence of causation rather than evidence of coincidence, and it costs nothing except the discipline to leave one segment alone.
Geography, company size band or industry vertical. Never split by a behaviour, because splitting by behaviour means the two groups already differed before you did anything.
Exclude that segment from ad targeting entirely and stop any outbound activity aimed at it. Organic posts still reach everyone, which is a limit of the design and you should say so when presenting it.
Write the end date and the comparison metric down in advance. A window chosen after the fact is a window chosen to flatter the result, and any experienced finance person knows it.
The segments are different sizes, so compare opportunities per thousand target accounts rather than absolute numbers, and state the denominator on the slide.
A flat result is a genuine finding and reporting it buys you more credibility than the win would have. It also stops you defending a budget line that is not earning its place.
A holdout takes a full sales cycle to read, which for most B2B companies means a quarter at minimum. That is the honest cost of the method. Anyone offering you causal certainty faster than your own sales cycle is selling software, and the software has the same problem, it simply hides it behind a confident interface.
When the board still says no, and what that actually means
A no after this deck is usually a no about something other than LinkedIn, and it is worth finding out which of three things it was before you rebuild the deck. Rebuilding the presentation when the objection was about the sales cycle wastes a quarter.
- The evidence was accepted but the constraint is elsewhere. If the sales team cannot work the pipeline it already has, more pipeline is not the ask, and the board is right. Come back with a conversion argument instead of a volume argument.
- The time horizon is wrong for the company. A business that needs revenue this quarter should not be funding a channel that reads on a two quarter lag, and saying so yourself is more credible than arguing.
- The numbers were believed and judged too small. This is the only one of the three that is genuinely about LinkedIn, and the response is a cost argument rather than a volume argument: what would the same 66,000 have produced anywhere else you can actually buy.
One further check before you assume the programme is underperforming. If your reach fell during the reporting period, find out whether the platform fell with it, because a decline that matches a platform-wide decline is not a performance problem and reporting it as one costs you a budget you should have kept. The method for that comparison is in how to normalise an impressions drop, and it takes about twenty minutes.
Questions people ask next
What do I present if we have no CRM at all?
Should impressions and follower growth go in a board deck?
How long should a board wait before judging LinkedIn?
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