Most newsletter publishers can tell you what their cost per subscriber is. But they have no idea how long it takes to recoup that money.
Andy Makensen has it down to a science.
He pays $3 per subscriber. And recoups it in 7 days. In fact, he recoups half before they even receive their first email.
Scaling a newsletter is infinitely easier when you have this data at your fingertips.
Want to know how he does it?
This week on Audience Bridge Insights, I sat down with Andy Mackensen, co-founder and head of growth at The Assist, a newsletter for ambitious professional women, and co-founder of a B2B lead generation company.
The Assist grew organically to somewhere around 30–40,000 subscribers over its first three or four years.
Then they turned on paid media.
They now add roughly 30,000 new subscribers a month, at about $3 each, and recover that $3 within seven days.
I watched Andy present this system at the newsletter conference and have been thinking about it since.
You can watch the entire podcast now or scroll down to get the full breakdown.
The Seven Days You're Currently Wasting
Andy runs a framework he calls SCALE: subscribers, conversion, activations, LTV, enrichment.
The conversion piece is where most operators lose money without noticing.
His acquisition path runs ad, landing page, five-question quiz, quiz results page, seven-day welcome sequence.
Every step is doing revenue work, including the two most operators treat as plumbing.
The quiz results page carries affiliate offers, CPC deals, and sponsor placements, segmented by how the subscriber answered.
That page alone returns 40–50% of the media cost.
If a LinkedIn subscriber cost $3, the results page brings back about $1.50 before they've read a word of the newsletter.
The seven-day welcome sequence covers the other 50–60%.
He treats it the way a software company treats product onboarding: best content first, tool and software recommendations matched to the role they told him about in the quiz.
Those emails are doing the same monetization work as the newsletter, just compressed and personalized.
One of the biggest mistakes I see in the newsletter industry is newsletter operators often wait to monetize.
By day seven the subscriber is free.
Everything after that is margin, and it goes straight back into ad spend.
Your welcome sequence isn't an onboarding formality. It's the only window where you can decide what a subscriber costs you.
The Five Questions Doing All the Work
The quiz is the mechanism the entire system hangs on, and it's simpler than it sounds.
After the opt-in, the subscriber hits a page that tells them their subscription isn't finished yet.
Answer five questions, see your results.
That open loop converts at about 83%.
Question one is a yes/no, deliberately trivial, built only to get someone moving.
The rest collect zero-party data: department and seniority.
Sales, marketing, HR, and operations care about different things, and an individual contributor and a VP are not the same buyer.
Those two answers decide which version of the results page loads, and which offers appear on it.
The landing page feeding all of this went from 35% to 60% conversion over six to nine months of one-variable-at-a-time testing.
Strip the nav menu.
Cut the distractions.
Tighten the message.
Add social proof.
Their pages built for a single job title convert around 70%, because the ad calls out directors and the page opens by saying it's for directors.
Narrower targeting raises conversion faster than better copy does.
He Doesn't Have a Rate Card Anymore
This is the part that should make every operator selling sponsorships uncomfortable.
The Assist deleted its rate card.
Not restructured. Deleted.
Andy's description of the standard newsletter sponsorship market is the most accurate one I've heard.
You get what you get and you don't get upset.
You publish a rate card, a brand rents your inventory, you promise nothing, they test you once, and if the numbers don't land they leave.
Then you spend the next month replacing them.
About 18 months ago they stopped selling placements and started selling activations.
The mindset shift he described: stop being the inventory provider and act like the brand's marketing agency.
A current example is a 60-day campaign for a supplements membership brand, built as a four-part weekly editorial series.
Week one educates the audience on what peptides even are.
The middle of the campaign moves to a quiz.
Only at the tail does anyone get pushed to a product page.
This is the first time this audience has ever seen your brand ever.
When a brand asks for a rate card, they get a discovery call instead.
That transcript goes into a prompt, which generates the proposal, which a salesperson walks through live on a scheduled follow-up they call an activation review.
Low pressure, booked before the discovery call ends.
And they don't discount. If a $30K activation is too expensive, components come out and it becomes a genuinely different $20K activation.
Same deliverables at a lower price teaches the brand your first number was fiction.
A rate card sells inventory. An activation sells an outcome, and only one of those renews.
The 30–40% You're Not Getting Credit For
Newsletters do top-of-funnel work and get measured on bottom-of-funnel attribution.
Andy estimates 30–40% of the results a newsletter drives never show up in the sponsor's reporting.
The subscriber sees the brand in your newsletter, doesn't click, then converts off a retargeting ad two weeks later, and Meta takes the credit.
Your sponsor sees a campaign that underperformed and doesn't renew.
Two things they're doing about it.
The first is bridge pages.
Instead of sending newsletter clicks straight to the brand's landing page, The Assist builds an advertorial or comparison page they own, sends traffic there, and asks for the click to the brand from that page.
An extra step, but the user arrives warm.
I'd add a deliverability argument Andy didn't make: you're linking to your own domain instead of a third-party URL, which is better for placement than routing clicks to whatever reputation the sponsor's tracking domain carries.
The second is closing the loop with the sponsor's own data.
Get a CSV of their qualified opportunities and closed deals, ingest it, and match those accounts against everyone who opened, clicked, or specifically clicked that sponsor's link.
Adam Ryan has been pushing this idea publicly and building product around it.
Andy has already saved renewals with it: campaigns sitting on the edge of non-renewal, then eight opportunities on the brand's own list traced clearly back to The Assist.
If you can't show a sponsor the conversions they didn't attribute to you, you're negotiating renewals with a third of your results missing.
Cost Per Subscriber Is the Wrong Number
This was the segment I'd have written myself.
Andy stopped optimizing on cost per lead, which is where most operators stop.
He now measures cost per new clicker and cost per engaged user.
Not all subscribers click. And so we want to optimize towards clicker.
Then the finding that should end the cheap-traffic argument for good.
On raw cost per subscriber, LinkedIn and Meta trade places month to month.
On cost per engaged user, LinkedIn wins.
The more expensive channel is the cheaper channel, once you measure the thing that actually matters.
I've been making this argument as cost per engaged subscriber for a while.
Andy arrived at it independently, from the paid media side, with a CDP and $20 of LTV behind the conclusion.
Speaking of which, his numbers: about $20 in lifetime revenue per subscriber against $3–4 to acquire one.
Roughly 5x. He wants 25–30, and thinks higher-ticket B2B team offerings could take it to 50.
Sponsorships are one line in that. Affiliate and CPC deals, a paid community, $2,000 AI upskilling cohorts, and a campaign intelligence data product are the others.
A $1.50 subscriber who never clicks costs infinitely more than a $3 subscriber who does.
What $3 Actually Buys
The quiz collects first name, last name, and company name alongside the email address.
Those four fields together are what makes everything downstream possible.
If you have those three plus the email address, the enrichment gods, the floodgates open.
Run them through an enrichment tool and roughly 20 fields come back: company size, industry, and everything else you'd want for segmentation.
Most operators collect an email address and hope.
Andy converts an anonymous address into a full profile at the moment of capture.
That data lives in a CDP his team built with Claude Code.
Every ad engagement, every welcome sequence click, every newsletter click, every purchase, tracked to the individual.
Which lets him do the thing that actually compounds: send the best subscribers back to Meta via CAPI and to LinkedIn, and tell the ad platforms to find more people like them.
It also produces something sponsors almost never get from a newsletter.
At the end of a campaign, The Assist hands over an intelligence report on who clicked and who those people are.
Andy has seen campaigns underperform on their primary metric and renew anyway, because the data was worth the spend on its own.
Enrichment at the point of capture is what separates a list from an audience you can actually sell.
He's Testing the Opposite of All of This
The most interesting thing in the conversation is the thing that isn't working yet, because he only just launched it.
They're testing what Andy calls a diagnostic funnel.
The ad asks what your AI leverage score is.
The quiz is longer and more substantive than the five-question version.
The results page is dynamically generated for each person: their score, their gaps, custom prompts they can paste straight into Claude or ChatGPT.
And no sponsors on it at all.
After building an entire business on monetizing the subscriber in the first sixty seconds, the new funnel monetizes nobody up front and routes them to a webinar instead, where The Assist sells its own education products and community.
The subscriber still gets a free Assist subscription, disclosed in the fine print under the opt-in, an idea Andy credits to Matt Paulson.
The open question is the one every operator should be asking about acquisition sources: are those subscribers as engaged, and do they click at the same rate?
Watch this one. If it works, the trade is short-term revenue for a much higher trust position, and it's the same bet in reverse.
My Take After This Conversation
1. Andy's model runs on clicks, not opens.
Quiz completions. Results page clicks. Welcome sequence clicks. Cost per clicker.
Not one number in his system depends on open rate, and I don't think that's an accident. He's built a paid media flywheel that has to be right about who's real, and opens can't tell him that.
2. The most expensive channel was the cheapest channel.
LinkedIn traffic costs more per subscriber and less per engaged user.
If you're buying on CPL, you're optimizing for the number that's easiest to measure rather than the one that pays. Cheap leads aren't cheaper.
3. Speed of payback is a strategy, not a vanity stat.
Seven-day payback isn't impressive because it's fast. It's a constraint that forces every step before the newsletter to be measured, segmented, and optimized.
Most operators can't answer what their subscriber cost them, because monetization is spread across months of sends and nobody's tracking to the individual. Andy compresses it into a week so he can see it.
See you next week,
Chris Miquel
P.S. The thread running through Andy's entire system is that a subscriber who doesn't click isn't worth acquiring, no matter what they cost.
That's the same signal Smart Lead is built on. Leads sourced from real click behavior across our own newsletter network, matched against your most engaged subscribers, delivered by ISP group, with full event data flowing back so you can see which ones actually engaged.
If you want to know what your engaged acquisition cost really is, book a call**.
