CASE STUDY · PAID SOCIAL · DTC SUBSCRIPTION
Same ad budget. Better customers. More revenue.
How I found what a new customer really cost a wellness subscription brand, then moved spend toward the buyers who stayed subscribed.
BRAND
D2C wellness subscription brand
CHANNEL
MY ROLE
SPEND ANALYZED
Meta
(Facebook + Instagram)
Performance
Marketing Manager
$162K
over 14 days
RESULTS< 90 DAYS AFTER THE CHANGE
70%
90-Day Retention
Up from the mid-60s. More customers still subscribed after three months.
7%
Cheaper per loyal customer
Cost per subscriber still paying at day 90 fell from about $225 to $209.
Flat
Cost to acquire
New-customer cost held steady while the audience mix changed.
Down
Chargebacks
New-customer cost held steady while the audience mix changed.
THE PROBLEM
The brand's main campaign reported an $82 cost per sale. It looked great, but most of those sales came from people who already knew the brand. It hid what growth actually cost.
WHAT I DID
I broke performance down by age to separate true new customers from repeat buyers, then forced budget toward the age group that bought and stayed.
THE OUTCOME
Acquisition cost stayed the same, but the customers were better. Retention rose to 70%, so the same budget now produced more recurring revenue.
01 · THE STARTING POINT
An $82 cost per sale that wasn't telling the whole story
The brand wanted to know if a new landing page aimed at younger buyers was worth building. Leadership was judging success by one number: the main campaign's cost per sale, about $82.
The catch: that campaign showed the same people an ad six to eight times in two weeks. At that rate you are mostly reaching past customers, email subscribers and recent site visitors. They were going to buy anyway.
A second campaign reached only brand-new people. Its cost per sale was about $146. That was the real price of a new customer.
Cost per sale, same two weeks
Main campaign (mostly returning buyers)
$82
New-customer campaign (true cost of growth)
$146
WHY A HIGHER COST CAN BE THE BETTER DEAL
The goal is not the cheapest sale. It's the cheapest customer who stays.
A subscription brand earns its money in month two, three and beyond. A customer who is cheap to win but cancels after the first order often loses money. A customer who costs more up front but keeps paying is where the profit is.
So the question I asked was not "how do we lower cost per sale?" It was "how much do we pay for a customer who is still subscribed three months later?"
Out of every 100 new customers
Before
65
still subscribed at day 90
After
70
still subscribed at day 90
Same ad spend, same cost to acquire, but about 8% more paying subscribers. That turned into more revenue every month after.
Cost per retained subscriber = cost to acquire ($146) ÷ share still subscribed at day 90. Before: about $225. After: about $209.
02 ·WHAT THE DATA SHOWED
Three findings the top-line numbers were hiding
1. Older buyers only looked cheap because they already knew the brand
I compared each age group's cost when reaching returning buyers against its cost when reaching brand-new people. The bigger the gap, the more that group relied on already knowing the brand.
Buyers aged 25 to 44 barely needed warming up. Buyers 45 and older cost far more once you took away repeat purchases.
Cost per sale
by age
Returning Buyers
Brand New Buyers
25-24
$118
$134
35-44
$80
$117
45-54
$82
$161
55-64
$83
$189
65+
$81
$131
35-44 was the standout: the cheapest brand-new customers, and just as likely to buy as returning ones (2.3% vs 2.4% of visitors).
2. The budget was going to the wrong people
Meta's algorithm spends where it has found buyers before. Because older customers had driven past sales, it kept feeding them and starving the younger groups that performed best.
Left alone, it would never correct itself. A new landing page would not be enough without also changing how budget was steered.
Share of budget vs. performance
Best performer: 35-44
12%
of new-customer
budget
Most expensive: 55-64
24%
of new-customer
budget
The same pattern showed up on the brand's collagen line, where 25-34 got under 6% of spend despite the lowest cost per sale.
3. The biggest audience was burning out
The 65+ group took 42% of the main campaign's budget, and each person saw an ad almost eight times in two weeks. Costs still looked fine, but that doesn't last.
Ad fatigue shows up in stages: ads get pricier to show, fewer people click, then cost per sale jumps. The first stage had already started. Showing ads to this group cost about twice as much as reaching 35-44.
Times each 65+ person saw an ad
(per two weeks)
7.9
Before
5.1
After
Still higher than ideal, but far less saturated, and the account no longer depended on one tired audience.
03 ·THE RESULTS
The same budget started buying better customers
What we measured
Before
90 Days After
What it means
90-day retention
62%
70%
More customers kept paying
Cost per retained subscriber
~ $225
~$209
Loyal customers got 7% cheaper
Cost to acquire a new customer
~ $146
Roughly flat
Better customers, no extra cost
35-44 customer volume
Underfunded
Major increase
Scaled at a similar cost per sale
65+ ad frequency
7.9 per 2 weeks
~5
Less burnout, less dependence
Chargebacks
Baseline
Down
Fewer unhappy subscribers
Most cancellations, subscription complaints and chargebacks had come from older buyers who never really wanted a subscription. Shifting the mix younger fixed the customer, not just the ad. That showed up as steady month-over-month growth in subscription revenue.
WHAT THIS MEANS FOR YOUR BRAND
I look past the dashboard to the customers your ads are actually buying.
Find your real cost of growth, separated from repeat buyers who would have purchased anyway.
Steer the algorithm when it gets stuck chasing old patterns instead of your best customers.
Connect ads, creative and landing pages so each one speaks to the buyer you want to keep.
Measure what pays the bills: retention and revenue per customer, not just cost per sale.
TERMS GLOSSARY
Cost per sale (CPA)
Ad spend divided by the number of orders it produced.
Cost to acquire (nCAC). What it costs to win a first-time customer, excluding repeat buyers.
Frequency
How many times, on average, the same person saw an ad.