How email marketing helped Hi-Spec Tools™ lower acquisition costs and increase repeat business

Hi-Spec Tools™ is a global DTC hand and power tool brand sold across major ecommerce platforms in more than 10 countries.
As online advertising costs surged post-COVID, the business needed a more efficient way to grow revenue without relying so heavily on paid acquisition.
The challenge wasn’t attracting customers.
It was getting more value from the customers they already had.

Reduce customer acquisition costs while continuing to grow ecommerce revenue.
At the time, Hi-Spec had a rapidly growing customer base- but almost no structured email marketing system in place.
A major opportunity was being completely overlooked.

Acquiring new customers is expensive. Retaining and re-engaging existing customers is usually far more profitable.
The issue was that customer data was being collected, but not properly utilized.
Warranty registrations, customer information, and purchase-related data were sitting unused inside customer service inboxes instead of feeding into a structured retention and marketing system.
The strategy focused on three things:

1. Rebuilding the Customer Database
The existing marketing list was extremely small despite years of ecommerce sales.
After investigating the customer support workflow, it became clear that thousands of warranty registrations had never been integrated into a usable marketing system.
We:
This immediately transformed the scale and quality of the brand’s customer database.
2. Building an Email Marketing System
Instead of overwhelming subscribers with constant promotions, the strategy focused heavily on value-driven content.
For Hi-Spec’s DIY-focused audience, most campaigns centered around:
DIY tutorials
seasonal projects
educational content
practical tool usage ideas
Promotional campaigns and product offers were then layered strategically around this content.
This helped maintain engagement while increasing purchase frequency over time.
3. Using Customer Data More Effectively
Customer behavior data from Amazon and other ecommerce platforms was used to better understand buying patterns, product interest, and engagement trends.
This allowed campaigns and product recommendations to become more targeted and effective over time.

Compared to the previous year: