Sexy Shoes

Case Study
E-Commerce
Facebook Ads

$43,543

Revenue Generated
Learn how Facebook Ads helped Sexy Shoes, a 25-year-old brand, make its move into e-commerce with a 7.32X return on ad spend.
Let me just say thank you! This is an amazing result and gives me great confidence.
Sexy Shoes

The Problem

Sexy Shoes had been in business for more than 25 years—since before the internet mattered to retail—and wanted to make a real move into e-commerce. The brand was already running ads but kept running into Facebook's posting guidelines, and needed a strategy that could differentiate it in a crowded category, stay compliant with constantly shifting platform rules, and target a niche product based on real behavior rather than broad demographics.

A Deeper Dive

A closer look at the challenges
Challenge
01

The category is crowded, so the strategy had to be built around what actually made the brand different rather than competing on volume.

Challenge
02

Facebook's rules on this kind of creative shift constantly, and ads getting pulled or denied was a live risk throughout the campaign.

Challenge
03

Because the product is niche, targeting had to be grounded in real behavior and interest signals rather than broad demographics.

The Solution

The Digital Resource team conducted extensive up-front interest research, built brand-friendly creative that stayed inside platform guidelines across multiple ad sets, and ran a multi-sequence prospecting and retargeting strategy—compounding the audience pool over time rather than resetting it with each campaign.

Implementation

Step 1

We conducted extensive up-front research into the target audience and relevant interests, allowing lookalike interest groups to widen the pool without diluting it.

Step 2

We introduced a 50% off promotion, giving the campaign an offer strong enough to move a first-time buyer on a niche product.

Step3

We built brand-friendly creative designed to catch attention while staying within platform guidelines, and ran multiple ad sets to attract different buyer types.

Step 4

We ran multi-sequence prospecting and retargeting to re-engage visitors, then tracked performance over six months of trend monitoring, making incremental strategy adjustments as audience trends shifted.

Impact

$43,543
Revenue Generated
7.32X
Return on Ad Spend
421
Purchases
$14.13
Cost per Purchase
$103
Average Order Value

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