What view-through attribution means in B2B
View-through attribution credits an ad that someone saw, even if they never clicked it, when that person later books a meeting or closes a deal.
Most B2B reports only keep the click. A VP can see a LinkedIn Ads unit on Monday, ignore it, search your brand two weeks later, and book a demo. Last-click gives the search click the deal. The impression never happened, as far as the report is concerned.
We already covered what B2B attribution has to connect and where marketing attribution stops. This piece is the missing event: the ad that was seen, not clicked.
Why does last-click drop the impression?
Last-click is easy because a click leaves a trail. A click ID, a landing page, a session. An impression does not. The person stayed on the feed. Nothing fired on your site. Weeks later they type your URL, or they come back from branded search, or a colleague drops a Slack link. The report starts there.
That is a hole, not a preference. The ad still sat in front of the buyer. The later visit still happened. The meeting still opened the opportunity. Last-click just never received the first event, so it treats the harvest click as the source.
B2B cycles make the hole wider. A consumer checkout can finish in the same session as the ad. A B2B deal usually takes more than one buyer, more than one visit, and a call that never happens on the website. The person who saw the ad is often not the person who booked. If you only credit the click, you will cut the campaign that created the memory and keep the one that caught the form.
How is view-through different from click-through?
Click-through credit starts at the ad click. The session, the pages, and later the meeting sit on that click. Google Ads and Meta Ads are built around that event. It is real work. It is also incomplete.
View-through credit starts at the impression. The person saw the ad and did not click. A later visit still has to join the same person or the same account. Then the meeting and the closed deal join that path. The impression is a prior event, not a deal by itself.
Those two events can sit on one journey. Someone can see an ad on Tuesday, click a different ad in May, and close in June. If you only count click-through, Tuesday disappears. If you only count view-through, you will over-credit every impression that ever ran near a buyer. The useful report keeps both, on the same path, so you can see which one actually sat in front of the people who became customers.
Why do B2B buying cycles need view-through?
Paid social is where this shows up first. LinkedIn Ads, Meta Ads, and even a ChatGPT placement can put your name in front of a VP who will not click a banner at work. They remember the product. They ask a colleague. They search you later. The click report for that week is empty. The pipeline report two months later has no memory of the spend.
The buying committee makes it worse. One person sees the ad. Another reads a comparison page. A third books the call. HubSpot often stores the form or the campaign a rep typed in. The ad platform stores the click it got, if it got one. Neither record is the impression that started the account.
Time works against you too. Campaign conversion windows expire. Finance asks which channel produced the customer that closed this quarter. If the impression lived in a window that already closed, the channel looks wasted. You then move budget to branded search, which is good at harvesting demand it did not create.
This is the same family of missing events as LLM traffic. Someone can read a ChatGPT answer, never click the citation, and still type your URL. We wrote about how those visits vanish into Direct. View-through is the paid version of that hole: an influence with no click ID.
How does view-through sit with multi-touch and CAC?
View-through is not a replacement for multi-touch. It is an event you can run a model on. First-touch, last-touch, and multi-touch all fail the same way if the impression was never stored. They just fail with different math.
Put the impression on the path first. Then you can still run last-click if you want a simple view. You can also spread credit across the impression, the later visit, the meeting, and the deal. The model is a lens. The path is the data.
CAC is where this becomes a budget decision. Cost per click and cost per form fill are lead costs. Real CAC needs closed customers and the spend that sat on their path, including the ads they only saw. If those impressions never join a closed deal, you cannot tell whether the spend returned anything. You also cannot tell whether a cheap click campaign is harvesting demand that view-through paid social already created.
Channel quality follows the same rule. A channel that produces a lot of impressions and no meetings is noise. A channel that produces fewer clicks and more closed deals is the one you keep. You only see that when spend, impressions, visits, meetings, and revenue share a journey.
Goals make the split obvious. A marketing goal of more demo requests can be hit by last-click paid search. A company goal of efficient closed revenue needs the impressions that started the account. If those two goals use different event graphs, the weekly meeting turns into a debate about whose dashboard is right.
A check you can run this week
Pick five closed-won deals. For each one, ask whether anyone on the account saw a paid ad in the 30 or 60 days before the first visit. Then ask whether last-click, the CRM source field, and the ad platform agree.
If the CRM says branded search and the ad platform shows an impression with no click on the same person a month earlier, you are looking at view-through sitting next to a harvest click. Write both events down. Then look at whether you have been funding the harvest channel and starving the campaign that created the memory.
You do not need a warehouse to close that gap. One pixel on the site, plus the GTM tools you already run, is enough to stitch impressions, visits, page views, meetings, and closed deals. You can chat with the data, get an AI recommendation, and receive a daily report in Slack.
Source is built that way. Drop in one pixel and it connects across the tools you already use. Multi-touch, view-through, offline activity, and LLM attribution sit on the same path as a real CAC, a goal, and a read on channel quality.
Customer data is not used to train external models. Source is SOC 2 Type II and ISO 27001 certified.
If you want the ad that was only seen on the same path as the meeting and the closed deal, start at Source. Attribution is broken. So we rebuilt it.