$22,896 In Tracked Sales…On Just $1,465 In Ads.

Case Study

Mexican / Burrito · 1 Location · St. Cloud, MN

A 1-location burrito shop in St. Cloud, Minnesota launched with ABR. In 5 months on $1,465 of ad spend, the program built a 3,444-person opted-in database, drove 1,093 in-store visits, and pulled $22,896 in tracked sales — a 15.6x return on ad spend. Fast-casual concept, fast launch, fast money back. The system pays itself off in weeks, not quarters.

1 Location Burrito Shop

And this all happened with a $1,465 Ad Spend using our ABR Customer Acquisition Program.

3,444
opt-ins captured
1,093
tracked in-store visits
$22,896
tracked sales
15.6x
return on ad spend

Step 1 · Attract Attention

FREE Burrito. Fast-casual. Fast money back.

The featured FREE Burrito offer

Featured Offer

FREE Burrito or Bowl

One per guest · opt-in required

A 1-location burrito shop in St. Cloud, Minnesota. Fast-casual concept — burritos, bowls, quick-service speed. The kind of restaurant where every visit is a transaction, every regular is a rotation, and every dollar of marketing has to pay back fast. Long sales cycles don't fit this business model.

The ask coming into ABR was direct — turn ad attention into immediate visits and immediate sales, while building a database the shop owns for the long run.

So we built the offer around the menu's hero item: a FREE Burrito or Bowl, redeemable ONLY after a guest joins their marketing program. Every opt-in captures a name, email, and phone. Every redemption brings two paying mouths to the counter (the free entree plus the side, drink, second burrito for a friend).

The result speaks to the speed: 1,093 tracked visits and $22,896 in tracked sales in 5 months — at a 15.6x return on ad spend. The fastest payback profile in the early-ramp portfolio.

The ads attracted this attention

In Just 5 Months.

282,112
Ad impressions
241,300
Unique people reached
11,004
Post engagements
481
Post shares

Step 2 · Build A Database

A Database They Own.

In Just 5 Months.

3,444
Opt-ins captured
2,511
Emails on file
2,393
Phone numbers on file

Where that database showed up in sales

75% of tracked sales came from guests who weren't coming back on their own.

New
31.3%
~$7,200 in sales

First-time guests walking through the door. A third of tracked sales — acquisition is doing its job at fast-casual pace.

Reactivated
43.7%
~$10,000 in sales

Lost guests the offer pulled back in. The biggest segment by share — the BOGO-style FREE Burrito offer pulls back the lapsed regulars who'd drifted out of rotation.

Frequent
24.9%
~$5,700 in sales

The already-loyal regulars. They came in for the BOGO too — existing-base reinforcement on top of acquisition.

75%
Found Money

75% of tracked sales came from new guests plus reactivated lost guests — revenue that wasn't showing up without the program. At fast-casual pace, that's $17,000+ in incremental dollars surfaced in 5 months on under $1,500 of ads.

Step 3 · Results, Revenue…ROI

The results — and the economics behind them.

Sales & Operations

In Just 5 Months.

1,093
Tracked in-store visits
25.2%
Redemption rate
$20.95
Average check
$22,895.87
Tracked sales

The ROI

$1.69
Cost per opt-in
$6.42
True CAC (ad + food)
$0.42
Data cost per contact
15.6x
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 shop's CAC
$6.42
ad spend ÷ customers who spent money
+ food cost of the promo
Realistic LTV
$850
40 visits × $21 avg check
(low end — fast-casual regulars come 50+ times/year)

Would you spend $6.42 to earn $850?
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.