$54 Avg Check At 6.86x Return…In Just 7 Months.

Case Study

Pizza · 1 Location · North Dallas, TX

A 1-location pizza shop in North Dallas launched with ABR. In 7 months on $2,455 of ad spend, the program built a 1,972-person opted-in database, drove 312 in-store visits, and pulled $16,838 in tracked sales at a $53.97 average check. Premium pizza ticket, 6.86x return on ad spend. A pizza concept doesn't have to be a $15 BOGO play — when the menu has the depth, the system delivers a $54 ticket.

1 Location Pizzeria

And this all happened with a $2,455 Ad Spend using our ABR Customer Acquisition Program.

1,972
opt-ins captured
$16,838
tracked sales
$53.97
avg check — premium for pizza
6.86x
return on ad spend

Step 1 · Attract Attention

BOGO pizza. The $54 ticket beats the offer cost.

The featured BOGO Pizza offer

Featured Offer

BOGO Pizza

Buy one, get one free · opt-in required

A 1-location pizza shop in North Dallas. Strong neighborhood following, sit-down dinner spend (not delivery-only), and an average ticket of $53.97 — high for pizza. The marketing system needed to find first-time customers in this market and prove the unit economics work at a $54 ticket.

The ask coming into ABR was direct — turn ad attention into first visits, build a database the shop owns, and demonstrate that the offer cost is dwarfed by the ticket size.

So we built the offer around the menu's hero pairing: a Buy One, Get One Free Pizza, redeemable ONLY after a guest joins their marketing program. The mechanic: invite a customer in for a free pizza, they bring a friend or family. The table orders entrees, drinks, sides on top of the BOGO. The ticket runs $54 even with one pizza free.

The proof: 1,972 opt-ins, 312 visits, $16,838 in tracked sales — at 6.86x return on ad spend. A pizza concept doesn't need to be a $15 takeout play. When the dining room is full, the offer cost gets dwarfed by the ticket.

The ads attracted this attention

In Just 7 Months.

251,922
Ad impressions
220,774
Unique people reached
7,481
Post engagements
180
Post shares

Step 2 · Build A Database

A Database They Own.

In Just 7 Months.

1,972
Opt-ins captured
1,400
Emails on file
1,301
Phone numbers on file

Where that database showed up in sales

83% of tracked sales came from guests who weren't coming back on their own.

New
60.3%
~$10,150 in sales

First-time guests through the door. Majority share — pizza acquisition is doing its job at scale.

Reactivated
22.8%
~$3,840 in sales

Lost guests pulled back in. The BOGO offer reactivated lapsed regulars who'd drifted out of rotation.

Frequent
16.9%
~$2,840 in sales

The already-loyal regulars. Smaller share — at 7 months in, the program is still in pure acquisition mode. Every regular captured is now in the database for life.

83%
Found Money

83% of tracked sales came from new guests plus reactivated lost guests — revenue that wasn't showing up without the program. At a $54 average ticket, that's serious incremental dollars on top of what the regulars were already doing.

Step 3 · Results, Revenue…ROI

The results — and the economics behind them.

Sales & Operations

In Just 7 Months.

312
Tracked in-store visits
12.1%
Redemption rate
$53.97
Average check
$16,837.96
Tracked sales

The ROI

$10.31
Cost per opt-in
$13.64
True CAC (ad + food)
$1.65
Data cost per contact
6.86x
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 pizzeria's CAC
$13.64
ad spend ÷ customers who spent money
+ food cost of the promo
Realistic LTV
$1,600
30 visits × $54 avg check
(low end — pizza regulars order 50+ times/year)

Would you spend $13.64 to earn $1,600?
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.