77% Of Sales Came From First-Time Customers…In Just 3.5 Months.

Case Study

Cafe + Market · 2 Locations · San Gabriel Valley, CA

A 2-location cafe and market in the San Gabriel Valley launched with ABR. In 3.5 months on $1,129 of ad spend, the program built a 1,647-person opted-in database and pulled $7,068 in tracked sales — and 77% of those sales came from brand-new first-time customers. The highest new-customer share in the entire ABR portfolio. Pure acquisition mode.

2 Location Cafe & Market

And this all happened with a $1,129 Ad Spend using our ABR Customer Acquisition Program.

1,647
opt-ins captured
$7,068
tracked sales
77%
new customers — highest in portfolio
6.26x
return on ad spend

Step 1 · Attract Attention

A free sandwich. The neighborhood showed up — most for the first time.

The featured Free Sandwich offer

Featured Offer

Free Sandwich

One per guest · opt-in required

A 2-location cafe and market in the San Gabriel Valley — sandwiches, coffee, grab-and-go retail items. The kind of neighborhood concept where a great review on Google travels fast: 78 of 79 reviews are 5-star, with a 4.86 average rating. Strong product, strong customer experience, but a relatively new program that needed to find its audience and own the relationship.

What they didn't have was a database — or much of a way to introduce themselves to neighbors who hadn't tried them yet. No list to warm up, no list to retarget, no list they owned. The ask coming into ABR was simple — find the people in this neighborhood who haven't been here yet, and turn them into a database the cafe owns.

So we built the offer around the hero item: a free sandwich, redeemable ONLY after a guest joins their marketing program. The ad budget went to work pulling first-time customers in. Each opt-in returned a name, email, and phone — first-party data the cafe owns and can market to forever.

It's the cheapest possible way to get new customers. You get the marketing attention, the customer's info, and you drive sales every day.

The ads attracted this attention

In Just 3.5 Months.

136,368
Ad impressions
121,502
Unique people reached
4,893
Post engagements
185
Post shares

Step 2 · Build A Database

A Database They Own.

In Just 3.5 Months.

1,647
Opt-ins captured
1,005
Emails on file
929
Phone numbers on file

Where that database showed up in sales

93% of tracked sales came from guests who weren't coming back on their own.

New
76.7%
$3,451 in sales

First-time guests walking through the door. Three-quarters of every dollar tracked — the highest new-customer share in the entire ABR portfolio.

Reactivated
16.3%
$1,503 in sales

Lost guests the offer pulled back in. The retention engine is just beginning to fire on a 3.5-month-old program.

Frequent
7.0%
$862 in sales

The already-loyal regulars. Smallest share — the regulars haven't had time to layer back on top yet.

93%
Found Money

93% of tracked sales came from new guests plus reactivated lost guests. That's revenue that wasn't showing up without the program — the highest found-money share in the entire ABR portfolio.

Step 3 · Results, Revenue…ROI

The results — and the economics behind them.

Sales & Operations

In Just 3.5 Months.

305
Tracked in-store visits
13.1%
Redemption rate
$23.17
Average check
$7,067.96
Tracked sales

The ROI

$5.25
Cost per opt-in
$9.64
True CAC (ad + food)
$0.71
Data cost per contact
6.26x
Tracked-sales ROAS

Now the economics: CAC vs LTV

CAC
Customer Acquisition Cost
How much you spend to earn a new customer.
LTV
Lifetime Value
How much that customer will spend over years of visits.

Because marketing isn't for one visit. It's for years of visits.

This cafe's CAC
$9.64
ad spend ÷ customers who spent money
+ food cost of the promo
Realistic LTV
$920
40 visits × $23 avg check
(low end — cafe regulars run 30–50 visits/year)

Would you spend $9.64 to earn $920?
Plus the ad attention and customer data that come with it? We thought so.

Step 4 · Your Turn

This partner chose our ABR Roadshow & Accelerate Program to get these results.

ABR Roadshow van

Click below to schedule a consultation and see if we can help you — and if your restaurant is a great fit for the program.

Imagery

Photos on this page are for visual reference only. Images may not depict the specific restaurant, location, staff, or menu item referenced in the case study.

Results

Case study metrics reflect actual dashboard reporting from the restaurant referenced. Individual restaurant results vary based on market, concept, offer mechanics, operational execution, timing, and other factors. Past performance is not indicative of future results.