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Ocean.io
How we lowered the price of quality leads by 63.8% across DE, UK, AT, NL and other European countries.
ABOUT OCEAN.IO
Advanced customer management for B2B companies
Ocean is a SaaS company that finds industry and contact information that can be used in sales or marketing based on website content, CVR data, company size, social media and many more sources. The data is matched and creates an effective marketing and sales tool, which automatically enters the companies' CRM systems. Objective: The goal was to optimize their current marketing so that more tech companies read their white papers, the quality of their leads could be increased and the marketing could be scaled up so that they could reach new markets in Europe.
Link to Ocean.io
How
We targeted large tech companies in the UK, Germany, Ireland, Switzerland, the Netherlands, and Austria with the aim of getting more leads, as well as more leads from "whales" (companies with 250 employees). We started by analyzing the company's past data and found opportunities to improve basic audience testing. Until now, the focus had primarily been on look-a-like audiences, which in many cases worked well, but the target groups had not been sufficiently tested. We therefore performed target group tests and created new target groups based on interests. We then manually analyzed the performance of all the target groups based on the quality of each and every lead and thereby found some interesting target groups that Ocean had missed.
The number of quality leads increased by 334.2%
Savings in the annual advertising budget of DKK 1,514,085 for the same number of leads.
Results
Ocean increased the number of quality leads by over 334.2% using a sharp target audience analysis and a well-planned advertising strategy that could be scaled to large European markets. At the same time, we managed to reduce the price per quality lead with 63.8%. With the company's marketing budget, we have helped them save more than DKK 1.5 million. per year compared to what it cost to collect leads previously.
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