Last-Click vs. Multi-Touch for High-Ticket Funnels: A Worked Example
We run the same month of high-ticket sales through last-click and multi-touch attribution, show where each model misleads, and explain how to use both to move budget.
The last-click vs. multi-touch attribution debate usually gets argued in the abstract. One side says last click is simple and honest about what closed the deal. The other says it ignores everything that warmed the buyer up. Both are right, and neither argument helps you decide whether to move $10,000 from retargeting to cold video next month.
So instead of theory, this post runs one month of a high-ticket funnel through both models, line by line. The business is illustrative: a coaching offer at $6,000, sold on a call, with Meta and YouTube ads, a webinar, an email list and a retargeting campaign. The numbers are made up but shaped like real funnels we’ve seen. By the end you’ll know what each model gets right, what it hides, and how to read the two side by side.
The two models in one paragraph each
Last click gives 100% of the credit for a sale to the last tracked touch before the conversion. If a buyer watched three ads over two weeks and then clicked a retargeting ad and booked, retargeting gets the whole $6,000.
Multi-touch splits the credit across the touches in the journey. There are several flavors. Linear splits evenly; time-decay weights recent touches more; position-based (often called U-shaped) gives extra weight to first and last. In this example we’ll use linear, because it’s the easiest to check by hand and it’s the clearest contrast with last click. If you want a refresher on the models themselves, multi-touch attribution explained in plain English covers them.
The funnel and the month
The offer: a six-month coaching program at $6,000. Leads come in through four paid entry points and one owned channel:
- Cold video (Meta): a 3-minute founder story ad driving to a webinar registration page.
- YouTube pre-roll: a case-study ad driving to the same webinar.
- Webinar: the registration and live or replay attendance. It’s a touch, but it’s owned, so it has no media cost.
- Email: follow-up sequence to registrants with a booking link.
- Retargeting (Meta): short testimonial ads shown to site visitors who haven’t booked, linking straight to the application.
Spend for the month:
| Channel | Spend |
|---|---|
| Cold video (Meta) | $24,000 |
| YouTube pre-roll | $12,000 |
| Retargeting (Meta) | $6,000 |
| Webinar, email | $0 media |
| Total | $42,000 |
The month produced 20 sales, $120,000 in contracted revenue.
Ten buyer journeys
Real attribution runs on hundreds of journeys, but ten representative ones (each standing in for two buyers) show the mechanics. Each row is the ordered list of tracked touches before payment.
| Journey (×2 buyers) | Touches in order |
|---|---|
| 1 | Cold video → Webinar → Email → Retargeting |
| 2 | Cold video → Webinar → Retargeting |
| 3 | Cold video → Email |
| 4 | YouTube → Webinar → Email → Retargeting |
| 5 | YouTube → Webinar → Email |
| 6 | Cold video → Retargeting |
| 7 | Cold video → Webinar → Email → Email → Retargeting |
| 8 | YouTube → Retargeting |
| 9 | Cold video → Webinar → Email |
| 10 | Email → Retargeting (lead came from an old organic opt-in) |
Notice how often retargeting is last. That’s not a coincidence. Retargeting is designed to show up at the end, to people who already intend to buy.
The last-click result
Under last click, each journey’s two sales ($12,000) go to its final touch.
| Channel | Sales credited | Revenue | Spend | ROAS |
|---|---|---|---|---|
| Retargeting | 14 | $84,000 | $6,000 | 14.0x |
| 6 | $36,000 | $0 | n/a | |
| Cold video | 0 | $0 | $24,000 | 0.0x |
| YouTube | 0 | $0 | $12,000 | 0.0x |
Read literally, this says: triple retargeting, kill cold video and YouTube. Anyone who has run a high-ticket funnel knows what happens next. Retargeting audiences are built from people the cold ads brought in. Cut the cold ads and within three or four weeks the retargeting pool shrinks, frequency climbs, and the 14x ROAS collapses.
Last click isn’t lying. Retargeting genuinely was the final click for 14 buyers. It’s just answering a narrower question than the one you asked.
The multi-touch (linear) result
Under linear multi-touch, each journey’s $12,000 is split evenly across its touches. Journey 1 has four touches, so cold video, webinar, email and retargeting each get $3,000. Journey 7 has five touches with email appearing twice, so email gets two-fifths.
Working it through all ten journeys:
| Channel | Revenue credited | Spend | ROAS |
|---|---|---|---|
| Cold video | $25,400 | $24,000 | 1.1x |
| YouTube | $13,000 | $12,000 | 1.1x |
| Webinar | $20,400 | $0 | n/a |
| $30,800 | $0 | n/a | |
| Retargeting | $30,400 | $6,000 | 5.1x |
(Total is $120,000.)
Now the picture is completely different. Cold video and YouTube both roughly pay back their spend on first-month contracted revenue alone, before any referrals or renewals. Retargeting is still efficient, but at 5.1x instead of 14x. And the webinar and email, which cost nothing in media, carry about 43% of the credit, which tells you how much the nurture sequence is doing.
What each model got wrong
Neither table is “the truth.” Each has a predictable bias.
Last click overcredits closers and undercredits openers. In a high-ticket funnel with a 10 to 30 day consideration window, the last touch is almost always a retargeting ad, an email or a direct visit. Those are the channels least responsible for creating demand.
Linear multi-touch overcredits filler touches. The second email in journey 7 got as much credit as the cold ad that introduced the buyer to the brand. In practice, some touches matter more than others, and linear has no way to know which.
Both miss what the call did. A $6,000 sale on a call depends heavily on who took the call and whether the lead was qualified. If one closer closes 30% and another closes 12%, the channel that happened to feed the better closer looks better under both models. That’s not attribution. That’s scheduling.
How to actually use the two models together
The practical approach is to treat them as two lenses with two jobs:
- Use multi-touch to set channel budgets. It’s the better answer to “is this channel contributing?” If a cold channel earns meaningful multi-touch credit and its last-click number is zero, it’s an opener. Keep funding it and judge it on multi-touch ROAS and on the volume it feeds into retargeting.
- Use last click to optimize within the closing channels. Which retargeting ad, which email subject line, which booking page actually got the click that converted? Last click is sharp for this.
- Watch the ratio. For each channel, compare last-click revenue to multi-touch revenue. A ratio far above 1 means the channel finishes journeys that others started. Far below 1 means it starts journeys others finish. Both roles are necessary. Cutting all of one kind breaks the other.
- Look past revenue to call outcomes. For a call-based offer, compare show rate and close rate by first touch. A cold channel that brings fewer leads who show and close at a higher rate is worth more than its revenue share suggests.
In Callix, attribution models split revenue across each touch in a prospect’s journey rather than crediting a single one, so you can put a last-click and a multi-touch column for the same campaigns side by side in one table and read the ratio directly. The /track page covers how the click-to-payment chain is stitched together.
Edge cases that quietly distort both models
A few things break attribution in high-ticket funnels more than the choice of model does.
Leads whose only ad click was the first one
Picture someone who clicks a cold ad, sends a DM, and two weeks later books through a calendar link from a text message. Their only ad click was their first touch. Some setups count that lead under first click but not under last click, because the last touch wasn’t an ad. The result is that last-click tables undercount leads from cold ads even when the ad was the only paid touch in the journey. Callix fixed exactly this: a lead whose only ad click was their first one now counts on that ad under last click too, in table widgets and the Chrome extension.
Clicks after the sale
If a buyer pays on Tuesday and clicks a retargeting ad on Thursday (because nobody excluded buyers from the audience), a careless model can credit Thursday’s click with Tuesday’s sale. Make sure your tool credits the last click made before the payment, and exclude buyers from retargeting anyway.
Payment plans
If the $6,000 is paid in six $1,000 instalments, a model that attributes each payment separately can spread one sale across months and even across different “last clicks.” Decide whether you’re attributing contracted value or cash collected, and be consistent. See attribution windows: choosing 1-day, 7-day or lifetime for how window length interacts with long sales cycles.
Calendar and application tools that drop the click
Many booking tools strip query strings or open in a new domain, so the click ID never reaches the booking. If a large share of your booked calls show no source, fix that before arguing about models.
What to take into your next budget meeting
If you only remember three things from this example:
- Last click will almost always tell you to cut the ads that create demand in a high-ticket funnel. Don’t let it.
- Multi-touch is the better lens for channel budgets, but it flatters cheap filler touches. Pair it with call outcomes by first touch.
- The ratio of last-click to multi-touch credit tells you each channel’s role. Fund both roles.
Run your own month through both models. Pull ten real journeys from your CRM, split the revenue by hand the way we did here, and compare it to what your ads manager says. The gap between those tables is usually where your next budget decision is hiding. For the broader first-versus-last debate, see first-touch vs. last-touch attribution.
