From €7,000 to €56,000 in 30 days

AN ADVERTISING CASE STUDY

WHAT

ADVERTISING CASE STUDY

WHO

Finnish E-Commerce store selling a mix of general
goods, featuring trendy, fashionable products, with
its own warehouse and private labeling.

SUMMARY

Amount spent

€17,443.59

ROAS

3.22

Revenue

€56,083.49

PROFIT

€38,639.90

The Problem

For the past years, the store had been struggling with paid traffic via Facebook and Instagram. The ads were run by the founder, but it was timeconsuming and generated low revenue & ROI.

It was time to scale up.

The founder wanted to:

Increase revenue
Increase ROI
Target the Swedish market

Devising the Solution

Action Step 1

Client and products
analysis

Action Step 2

Researching target
audience

Action Step 3

Analizing the competition
and current market flow

The Solution

1Instead of promoting the store in general, we decided to focus on one product only which one of their designer shoes.

2We re-designed all the content (videos and images) to improve results.

3Creating unique copies for each step of the funnel.

4We set up a Full-funnel Facebook ads strategy, using a proven
concept of account structure.

5We decided to go broad with testing so we quickly would be
able to scale up the winners.

The Solution

1Instead of promoting the store in general, we decided to focus on one product only which one of their designer shoes.

4We set up a Full-funnel Facebook ads strategy, using a proven
concept of account structure.

2We re-designed all the content (videos and images) to improve results.

5We decided to go broad with testing so we quickly would be
able to scale up the winners.

3Creating unique copies for each step of the funnel.

The Recipe

Devising a good solution for a brand and making a strong funnel can lead to advertising success. Hannes Media always carefully plans and creates unique and personalized plans for each client.

Interest-based targeting

We included the top 25 audiences (interest-based) in the fashion niche.

CBO

Structure all the ads into CBO campaigns to be able to scale quickly.

Unique retargeting ads

Each user saw a different message based on their previous behavior.

Lookalike audiences

We used Lookalikes audiences from the following data sources: Video Viewers, Website Visitors, Added to Cart, Checkout initiated, and Purchases. We split up the Lookalike audiences into different groups based on the percentage of the population that matched the main data source.

Segmenting the retargeting ads into categories of Key Findings

Video Viewers 7 Days
Website visitors 7 Days
Added to cart 7 Days
Initiate checkout 7 Days
Facebook page engagers 7 Days
Instagram engagers 7 Days
Website visitors 8–30 Days
Social media engagers 8–30 days
Website visitors 31–180 Days
Social media engagers 31–365 days

Planning the retargeting in this way allowed us to maximize the results and returns from our investments.

The Results

700% increase

Their revenue increased from €7,000 per month to €56,000 – an 8x increase.

Increase in ROAS from 2.50 to 3.22.

The store gained 1141 1141 customers in the first 30 days.

This approach saved the founder and the team a lot of the time since they could take their hands off the Facebook Ads Management, and focus on the betterment and improvement of their brand and store.

Their shoes sold out after the first month which was the best review we could get of our perfomance. Thanks to all of this, the brand was able to provide a better experience than ever before.

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