Case Study

Bergfreunde Cuts Campaign Prep Time by 75% Across 12 European Markets

Segment

Outdoor & Sports Retail

Objective

Automate and scale localized promotional emails across 12 European markets — modernize design, lift conversion.

Product

Active Content

Recommend

Outcomes

Reduction in campaign prep time (4 hrs → under 1 hr)
%
0
Faster lead time
on changes (1.5 weeks → 2 days)
%
0
CTR uplift on the Birthday campaign
%
0
Revenue-per-user uplift on the Birthday campaign
%
0

Client Overview

A pure-play outdoor retailer scaling across Europe, Bergfreunde GmbH is one of Europe’s leading online retailers for mountaineering, climbing, and outdoor equipment. The pure-play online business carries 40,000+ products from 700+ brands, serving ambitious climbers, expedition mountaineers, and urban outdoor enthusiasts across a localized footprint of 12 European markets.

40,000+

Items in catalog

700+

Brands

12

European markets

The Challenge

A twice-weekly campaign that wouldn’t scale. Bergfreunde’s flagship promotional campaign — PreisGrounder — was being hand-built directly inside their marketing automation platform, twice a week, for every country. Every send meant rebuilding layouts, swapping products, and re-translating copy: roughly four hours of work and a 1.5-week lead time per campaign.


With seven markets live and five more on the way, the manual workflow had become a hard ceiling on speed, modernization, and scale — and a blocker to introducing countdown timers, star ratings, and other social-proof elements the team wanted to test.

Solution

Active Content and Recommend, working in lock-step. Bergfreunde turned to Algonomy Active Content to automate the entire PreisGrounder workflow — from data feed to localized creative for every market — and paired it with Algonomy Recommend to personalize the product picks inside every send. As a Recommend customer since 2015, Bergfreunde already had the product catalog and behavioral data fully integrated, so the team moved fast.

Today, the CRM team simply updates the product feed. Active Content assembles a modern, on-brand email — complete with countdown timers, star ratings, and gender-specific product labels — and pushes localized variants through their marketing automation platform to every country. Recommend handles the intelligence layer, surfacing the right product to the right shopper, every time.

Before

After (with Active Content)

Campaigns Powered by Active Content + Recommend

Two campaigns. One automated workflow. Below are the two campaign creatives that ship from the new setup — rendered on mobile, where the majority of Bergfreunde’s shoppers open their email.

Campaign 01

PreisGrounder — Twice-weekly promotional

Auto-assembled and localized for each of 12 European markets via Active Content.

Campaign 02

Birthday — Personalized via Recommend

Same campaign, same audience — personalized picks delivered +19.44% CTR and +32.33% RPU.

The collaboration has been very positive and constructive. Algonomy’s technology is flexible and powerful — particularly in automating campaign execution and enabling more modern, engaging designs. I am especially pleased with the efficiency gains and the improved scalability of our campaigns.

Martin Hauf

CRM Manager, Bergfreunde

What's inside the full case study

Get the playbook behind the numbers.

A four-page deep-dive into how Bergfreunde and Algonomy partnered to automate, personalize, and scale Europe’s most demanding email program.

Talk to an Algonomy specialist. Want to scale email campaigns like Bergfreunde?

We'll be in touch within one business day. Let’s talk.

Explore More Resources on Personalized Marketing

Resources

Guides

Dynamic Content Personalization: How Active Content Brings Dynamism into Your Campaigns

Let’s face it—customers nowadays expect deeper and relevant communication, not cookie-cutter-styled messaging across every channel.

Case Study

Personalizing Beauty at Scale: How Matas Grew Attributable Sales by 36% with Personalized Recommendations

Deliver a best-in-class customer experience, increase online sales, and drive operational efficiency at scale