Built A 1,402-Person Owned Database…In Just 4 Months.

Case Study

Mexican · 1 Location · Denver, CO

A 1-location Mexican kitchen in Denver launched with ABR. In 4 months on $1,185 of ad spend, the program built a 1,402-person opted-in database and pulled in $4,045 in tracked sales. 85% of every tracked dollar came from new customers and reactivated lost customers — pure incremental revenue. The database is the lasting asset; the visits compound from here.

1 Location Mexican Kitchen

And this all happened with a $1,185 Ad Spend using our ABR Customer Acquisition Program.

1,402
opt-ins captured
$4,045
tracked sales
85%
found money — new + reactivated
3.4x
return on ad spend

Step 1 · Attract Attention

A BOGO entree. 1,402 new contacts. The database is the lasting asset.

The featured BOGO Entree offer

Featured Offer

BOGO Entree

Buy one, get one free · opt-in required

A 1-location Mexican kitchen in Denver. The kind of neighborhood concept where the food is great but the marketing system was missing — no owned database, no way to introduce themselves to people who hadn't been there yet, no way to bring lost guests back without rolling the dice on hoping they'd return on their own.

The ask coming into ABR was simple — build a database the restaurant owns and start the engine that turns ad attention into recurring revenue.

So we built the offer around the menu's hero entree pairing: a Buy One, Get One Free entree, redeemable ONLY after a guest joins their marketing program. The BOGO mechanic brings two paying guests in (one free, one full price) — the restaurant gets the second receipt and a name, email, and phone on every opt-in.

The point of this case study: the database is the asset. At 4 months in, the restaurant owns 1,402 names that didn't exist before. Visits will compound from here — that's how the system pays off in years 2 and 3.

The ads attracted this attention

In Just 4 Months.

153,402
Ad impressions
136,033
Unique people reached
5,491
Post engagements
222
Post shares

Step 2 · Build A Database

A Database They Own.

In Just 4 Months.

1,402
Opt-ins captured
861
Emails on file
762
Phone numbers on file

Where that database showed up in sales

85% of tracked sales came from guests who weren't coming back on their own.

New
57.2%
$931 in sales

First-time guests walking through the door. The majority of tracked sales — acquisition is doing its job at 4 months in.

Reactivated
28.5%
$1,124 in sales

Lost guests the offer pulled back in. Outspent the "new" bucket on a per-visit basis — lost-customer reactivation is the most efficient revenue lever.

Frequent
14.3%
$671 in sales

The already-loyal regulars. Kept in the database, but this wasn't a program designed to re-sell to them.

85%
Found Money

85% of tracked sales came from new guests plus reactivated lost guests — revenue that wasn't showing up without the program. Add the 1,402-person database that compounds every month, and the asset value runs years past these first-quarter numbers.

Step 3 · Results, Revenue…ROI

The results — and the economics behind them.

Sales & Operations

In Just 4 Months.

93
Tracked in-store visits
5.2%
Redemption rate
$43.49
Average check
$4,044.96
Tracked sales

The ROI

$0.85
Cost per opt-in
$15.86
True CAC (ad + food)
$0.84
Data cost per contact
3.4x
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 restaurant's CAC
$15.86
ad spend ÷ customers who spent money
+ food cost of the promo
Realistic LTV
$650
15 visits × $43 avg check
(low end — Mexican-kitchen regulars come 20+ visits/year)

Would you spend $15.86 to earn $650?
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.