🌀Who is this for?
This playbook is for tech companies targeting leads that don’t exist on LinkedIn as it shows how to get the “hard to get” data and use it for outreach.
Results:
The results you see above have been accomplished by using our outbound system that leverages 95 data sources + AI to send hyper-targeted cold emails at scale.
We contacted 52710 people and got 1482 responses, 508 responses were sales opportunities which puts us close to a ratio of 100 people contacted per sales opportunity.
đź’˘The problem:
When Kea came to us, they were struggling with their cold email and outbound in general.
They were sending a bunch of generic cold emails and getting close to no responses.
They were using standard data sources like Apollo and Seamless.ai.
They thought:
- First off, there’s not enough data on restaurants.
- Secondly, even with what little is available, it seems really hard to get a result from contacting them.
Here’s what we did to combat that:
- Set them up with the best cold email infrastructure in the world—allowing them to actually land in the inbox.
- Built a custom scraper that gets pizzerias (their main ICP) from various online ordering platforms.
- Built a system that then locates them on Google Maps—gathering valuable info on their reviews, and whether they mention on their website that they do phone orders.
- Then another system that finds all the contact info for these restaurants by either scraping their site or looking for it on separate forums like Yelp—to maximize ICP coverage.
- Finally, we wrote human copy that actually gets people to respond, using these custom data points to add relevance and make the emails feel 1 to 1.
đź’How does that come together in campaigns?