You're sitting in a budget review meeting. Your webinar programme is on the chopping block. The numbers don't lie, apparently: webinars generated 47 registrations last quarter, but only three conversions. Meanwhile, email campaigns show 89 conversions. The decision seems obvious. Cut the webinars, double down on email.
Except the numbers do lie. Or at least, they're telling you half the story.
The problem isn't your webinars. It's how you're measuring them. Last-click attribution makes your top-of-funnel channels invisible while bottom-funnel tactics get all the glory. This article shows you why this happens, what it's costing you, and how to fix it without expensive software. If you're watching your best channels get starved because they "don't convert," you're probably living with this broken system right now.
The channel that's getting all your credit (and why that's a problem)
Three channels dominate your conversion reports: branded search, direct traffic, and email clicks to existing leads. They win every time. Not because they're doing the heavy lifting, but because they're closest to the sale.
Here's what actually happened: someone saw your LinkedIn ad, read three blog posts over two weeks, attended your webinar, then Googled your brand name and filled out a contact form. Your attribution model gives 100% of the credit to that branded search. The LinkedIn ad? Invisible. The blog posts? Don't exist. The webinar that convinced them you knew what you were talking about? Worthless, according to your dashboard.
This isn't a theoretical problem. It's happening in your reporting right now.
These bottom-funnel channels matter. Email works. Branded search converts. But they're not creating demand. They're harvesting it. When you optimise exclusively for last-click winners, you're optimising for channels that capture people who already want to buy from you. You're not building the pipeline that creates those buyers in the first place.
What last-click attribution actually measures
Last-click attribution gives all credit for a conversion to the final touchpoint in the buyer's journey. One interaction gets 100% of the credit. Everything before it gets zero.
It's good for something: understanding very short sales cycles or single-session purchases. If someone searches "buy running shoes," clicks your ad, and buys immediately, last-click tells you what you need to know.
It became the default because it's simple. Platforms love it because it makes their numbers look good. Google Ads can claim they drove the sale. Facebook can claim the same sale. Your email platform takes credit too. Everyone's a hero.
The conversion you see vs. the journey that happened
Your dashboard shows "email" converted the lead. What you don't see: the podcast episode they listened to on their commute, the case study they read at lunch, the comparison article they bookmarked, and the demo video they watched before finally clicking that email.
This model provides a fragmented view that overlooks prior touchpoints contributing to brand awareness. You're looking at the final handshake and calling it the entire relationship.
Open your GA4 dashboard right now. Look at your top converting channels. Now ask yourself: are these channels creating new buyers, or are they just the last thing people clicked before they bought? That's the gap between what you're measuring and what's actually driving your business.
Your top-of-funnel channels are being starved (here's the proof)
When last-click is your only lens, awareness and consideration channels look like they're failing. They're not. They're being measured wrong.
Your best channels aren't underperforming. They're being judged by a metric that was never designed to measure what they actually do. Here's how it plays out across three channels you've probably considered cutting.
Why your webinar budget keeps getting cut
Webinars generate engaged leads who convert weeks later via email or branded search. The webinar gets zero credit. It looks ineffective in your reporting, so the budget gets slashed.
The timing gap kills you here. Top-of-funnel activities like webinars happen early. Conversions happen later through different channels. Someone attends your webinar in January, nurtures through your email sequence in February, and converts via a branded search in March. March gets the credit. January gets cut.
The webinar might be the reason they're in your funnel at all. But in last-click reporting, it's invisible. This doesn't mean every webinar is worth running. It means you can't tell which ones work because you're measuring them with the wrong ruler.
The LinkedIn ads that 'don't convert' (but actually do)
LinkedIn ads introduce prospects to your brand. They research you over days or weeks. Then they convert via direct traffic or branded search. LinkedIn gets nothing.
This is especially brutal in B2B, where LinkedIn is often a discovery channel, not a conversion channel. Someone sees your ad, clicks through, reads your content, then closes the tab. Three days later, they Google your company name and request a demo. Last-click says Google drove that conversion. LinkedIn looks like it wasted your money.
Meanwhile, multiple ad platforms claim full credit for the same conversion, leading to inflated metrics across the board. How many of your "direct" conversions actually started with a LinkedIn ad you're about to cut?
When every platform claims 100% credit for the same sale
Google Ads says they drove the sale. Facebook says they drove it. Your email platform says they drove it. All claiming 100%. All technically correct within their own tracking, all completely wrong when you add them up.
This happens because each platform uses last-click within their own ecosystem. Google sees the last Google click. Facebook sees the last Facebook click. They're all looking at different slices of the same journey and claiming they own the whole thing.
Do the maths. Add up all the conversions each platform claims. You'll end up with 300% of your actual sales. That's not a rounding error. That's a fundamental problem with how you're measuring success. If you're making budget decisions based on these numbers, you're optimising for fiction.
What actually happens in a B2B buying journey
B2B buyers don't discover you and buy in one click. That's not how decisions get made when there's budget approval, stakeholder buy-in, and competitive evaluation involved.
Your attribution model sees one touchpoint. Reality involves a dozen. This isn't theory. This is what your buyers are doing right now, while your dashboard pretends they're taking a direct path from ad to purchase.
The 8-12 touchpoint reality
B2B buyers typically need 8-12 touchpoints before converting. Not because they're indecisive. Because they're doing their job properly.
Those touchpoints look like this: social ad, blog post, case study, webinar, comparison page, demo request, sales call, email follow-up, pricing page visit, another case study, contract review, purchase. Your last-click model sees one of those twelve. Usually the pricing page or the final email.
This is normal buyer behaviour. You need to account for it. When you don't, you end up protecting the channels that close deals and killing the channels that create the buyers in the first place.
Why the 'last click' is often just branded search or email
By the time someone's ready to buy, they're searching your brand name or clicking an email to an existing lead. That's what shows up in your reports as "the conversion driver."
Last-click attribution typically credits channels that confirm decisions, not channels that created them. Someone's already decided you're on the shortlist. They're just finding their way back to you to take the next step. That's not the same as the channel that put you on the shortlist in the first place.
Research shows that last-click models often undervalue offline activities such as trade shows and in-store visits, focusing mainly on digital paths. Are you optimising for the channels that close deals, or the channels that create buyers? Because right now, you're probably doing the former while thinking you're doing the latter.
How to see the full picture without complex attribution software
You don't need expensive attribution platforms to fix this. You need three practical changes you can make this week.
These won't give you perfect attribution. Perfect doesn't exist. But they'll stop you from killing your best channels based on incomplete data. That's worth doing.
Start with last non-direct click (the easiest switch)
Last non-direct click excludes direct traffic and assigns credit to preceding channels before direct conversions. It filters out the "I already know you" traffic and credits the channel that actually brought them in.
In GA4, switch your default attribution model from last-click to last non-direct click. It takes about two minutes. You'll immediately see a more realistic picture of which channels are driving new awareness versus which ones are just catching people who already know you.
This isn't a perfect solution. It's still a last-click model, just a smarter one. But it's a quick improvement that costs you nothing and stops direct traffic from hogging credit it doesn't deserve.
Track assisted conversions in GA4
Assisted conversions show which channels were present in the journey but didn't get last-click credit. This is where you find your starving channels.
In GA4, go to Advertising > Attribution > Conversion paths. You'll see multi-touch journeys showing every channel someone interacted with before converting. Look for channels with high assisted conversions but low last-click conversions. Those are the channels being punished under your current model.
If LinkedIn has 50 assisted conversions but 5 last-click conversions, that's a channel worth protecting. It's doing the work. It's just not getting the credit. Now you know.
Ask your sales team what content actually mattered
Your sales team knows which content prospects mentioned, which webinars they attended, which case studies closed deals. They hear it in discovery calls and demos. That information never makes it into your attribution model.
Add one question to your sales process: "What content or touchpoints did this prospect engage with?" Keep it simple. Don't build a bureaucratic form. Just ask.
This captures the qualitative journey that attribution models miss, especially offline and dark social touchpoints. Someone forwards your article to their boss. That matters. Someone mentions your webinar in a sales call. That matters. None of it shows up in GA4, but all of it influences the sale.
If you need expert guidance implementing these strategies and building a tracking system that actually reflects your buyer journey, Lead Recorder specialises in helping businesses see the full picture of how leads find and convert through their marketing.
The real cost of optimising for the wrong metric
When you optimise for last-click, you're optimising for channels that harvest demand, not create it. You're protecting email and branded search while cutting the webinars, content, and ads that fill your pipeline in the first place.
The long-term consequence is predictable: you'll keep cutting awareness channels because they "don't convert." Your pipeline will dry up. You won't know why until it's too late, because your dashboard will still show email and branded search performing well. Right up until there's no one left to email and no one searching for your brand.
The alternative is straightforward. Measure the full journey. Protect your top-of-funnel. You'll see sustainable growth instead of a race to the bottom where you're competing for the same shrinking pool of people who already know you exist.
Pick one of the three steps from the previous section and implement it this week. Switch to last non-direct click. Check your assisted conversions. Ask your sales team what content actually mattered. Just pick one and do it.
Your best channels are already working. You just need to start measuring them properly. For more information on how Lead Recorder approaches attribution and lead tracking, visit our Privacy and Terms pages to understand how we handle your data.
