How Rejs365 reduced manual work with link automation

Rejs365.dk is one of Denmark’s largest travel affiliate media sites, with more than 200,000 monthly visitors. They publish travel inspiration, destination guides, and curated deals that help Danes plan their vacations.

They already had strong traffic and steady affiliate revenue. The ambition wasn’t to “start” monetising, but it was to scale what was already working.

Scaling in travel affiliate marketing isn’t simple. Campaigns run across multiple networks, revenue is reported in different currencies, booking validations can take months, and rejection rates fluctuate.

And on top of that, thousands of pages need ongoing link maintenance.

Rejs365.dk needed two things:

  • A clear overview of what actually drives revenue
  • Less time spent on manual affiliate tasks

Results after implementing Nordpar

Efficiency Breakthrough
40% reduction in manual link management tasks
By automating core workflows, Nordpar eliminated repetitive manual updates, allowing the team to shift focus from technical maintenance to strategic growth.
-40%
1-to-1 Comparison
Full 1-to-1 comparison of campaigns across all affiliate networks in a single view.
Unified Dashboard
Dashboard with a single currency across multiple countries for accurate global tracking.
EPC & EPV Tracking
Granular tracking of Earnings per Click (EPC) and Earnings per Viewer (EPV) across all content.
Precise Attribution
Commission attributed directly to individual links and pages for absolute performance clarity.
Rejection Insights
Clear insight into rejection rates and long-term booking windows for better forecasting.
Content Scalability
Identify exactly what content and pages to scale based on real-time data and ROI.

Most importantly, they gained time to focus on producing content instead of maintaining it.

Use Case 1

Comparing campaigns across networks

Before Nordpar, campaign analysis was manual.

The team logged into each affiliate network separately. Some campaigns reported in EUR, others in DKK. Not all networks showed EPC. Data had to be exported into Excel and compared manually at the end of each month.

In travel, this gets even more complicated. Bookings can be validated months later. Some advertisers are known for rejecting a significant percentage of sales. That means the revenue you see today might not be what you actually earn long term.

To truly understand performance, they had to revisit data months later and adjust their numbers.

It worked, but it was a slow process.

The solution: Affiliate Dashboard

After Rejs365 started using Nordpar, all campaign data was consolidated into one dashboard.

So now they can compare campaigns 1-to-1 much easier, because they can:

  • report on a single currency across countries automatically
  • calculate EPC and EPV consistently across networks, even for networks that don’t
  • see rejection rates and pending commissions over time
  • view year-on-year comparisons

Instead of guessing which advertiser performs best, Rejs365 can see it clearly. They can track how revenue develops over months and evaluate advertisers based on real, validated performance.

Use Case 2

Knowing what each article is worth

Traffic numbers don’t tell the full story. Revenue per article does.

Like most publishers, Rejs365 had access to analytics tools like Google Analytics and PowerBI. But connecting traffic data directly to commission, across multiple networks, was complex.

They didn’t know how much each article actually earned.

The solution: Page & link level data tracking

With Nordpar, commission is attributed to individual links and pages. That makes it possible to calculate both:

  • Earnings Per Click (EPC)
  • Earnings Per Visitor (EPV)

This changes how content decisions are made.

If an article earns 3.8 DKK per visitor, that number becomes actionable. It shows how much they can invest in acquiring traffic while staying profitable. So, for example, they can spend 3.6 DKK on Facebook or Google ads, knowing that they still have profits from each visitor.

It shows which topics deserve more content. And it helps evaluate the real return on SEO efforts.

Use Case 3

The time spent managing links

The biggest bottleneck was manual link management.

Before Nordpar, the workflow looked like this:

  • Write the article
  • Find advertiser landing pages
  • Identify which network the advertiser uses
  • Generate deeplinks
  • Add tracking IDs
  • Implement and test links
  • Update links if they paused campaigns or switched networks

Multiply that across 1000s of pages, and maintenance becomes a major part of the workload. This manual workload didn’t generate new revenue, but it kept the system running.

The solution: Link automation

With Nordpar’s link automation, regular outbound links were added to the content. The system automatically matched them with active affiliate campaigns that Rejse365 was approved for.

Clicks were tracked automatically. Monetisation happened in the background. All data appeared in the dashboard.

The new workflow is simpler:

  • Write the content
  • Insert normal links
  • Publish

Everything else happened automatically.

For Rejs365, this removed around 40% of the tasks involved in creating and maintaining affiliate content.

Instead of maintaining links, they got time back to focus on producing more content and scaling what works.

Conclusion: doing more with the same team

The real result isn’t just better reporting or fewer manual tasks. It’s the clarity and time saved.

Rejs365.dk can now:

  • Compare campaigns across networks without Excel sheets
  • See exactly which articles generate revenue
  • Calculate how much a visitor is worth
  • Reduce link maintenance across thousands of pages
  • Focus on content instead of manually updating links

In affiliate publishing, scaling often means producing more, but real scale comes from removing friction.

By combining cross-network data insights with link automation, Nordpar helped Rejs365 do more without increasing complexity or workload. And for a growing affiliate media business, that’s what sustainable scale looks like.