We use data science to find high-value prospects that exactly match your best clients.
Not only do we analyze your marketing activity, but also look at how your best clients position themselves online, so that we can learn what to look for in prospects. We call this finding client twins.
This process uncovers great prospects and gives you clues about how to sell to them. In other words, use data to find the Glengarry leads.
Led by neuroscientist Dr. Han de Jong, our advanced data science team builds custom models to understand who to target and what to say. We analyze trends and the actual impact of our campaigns.
We seek to find meaning in the sea of information that surrounds us all.
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With AI, it is now possible to understand exactly where one company sits among an entire industry. We can even test if our words are differentiated as we write them.
We leverage this to position companies and venture funds, and as we write new messaging for them. By building custom transformer embedding models, we can quickly understand where there is whitespace and if your messaging will resonate.
No longer must positioning be a guess; base your strategy on hard data.
We leverage traditional survey research, as well as new methods using AI and facial recognition to understand how you are seen in the market and the impact of your campaigns.
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Our data team can help with many types of custom analysis. We have been asked to everything from network analysis in the DeepTech venture space to ranking derivatives trading strategies to finding the right music to match videos made by different creators.
For many of our B2B clients, we create regular lead lists for their sales teams and outbound marketing, bringing together many different data sources and enriching contacts through web scraping or other methods.