Apollo.io played big role for us in saving $$$ by bringing data mining, AI Email Writing and acting as CRM altogether...for small to medium organization they can surely rely on Apollo.io...and it is doing things mostly right with some room for improvement for sure. Sales and Marketing team saves time in getting their emails drafted based on prompts, list of contacts they can fetch in minutes of time, earlier we used to have seperate tool just to mine data, then we used to upload the CSV file to email marketing tool, then we used to draft email...for all these process we were using three different tools - Apollo.io brought everything under one umbrella.
Well Suited - Databook works well when you’re in a sales role focused on enterprise accounts. You often need a full view of a company’s priorities, financials, and strategic themes, and the tool gives you that context quickly without digging through multiple sources. Less Appropriate - It’s less useful when you’re working mid market or with fast growing smaller companies. The coverage and depth can be limited, so you may not find enough meaningful data to rely on. In those cases, manual research still ends up doing most of the work.
Firstly, finding the details of the potential customers that is there name, designation email and phone number since these are the most important cases most of the times I can get this data in Apollo.io
I can pull the bulk data of the targeted organization, or I can pull the emails based on the location and job titles
Apart from the email capture, the thing which helpful is that the email sequence can find emails and send emails in Apollo.io itself and also the report and the dashboard are so clean
Friendly UI and UX Apollo.io was the first tool which I used. Since then I'm still using Apollo.io for easy understanding
There are certain features about prospecting that require updates. For example, if people switch organisations, it should be automatically requesting the new email or new contact data for a particular contact in order to be updated in the system
The lead databases that are created if their new addition should automatically be updated in the list that I created with Apollo.io
Apollo.io does provide campaign setup help and made my SDRs team's life easier, with the use of lead enrichment, lead distribution, I can manage my team from a single dashboard. It also comes with CRM that helps me navigate the progress on leads and what my SDRs progress.
I rated it a seven because the core insights are genuinely useful once you get to them, but the workflow isn’t always smooth. Finding the right accounts can be hit or miss and some sections feel a bit cluttered, so it takes time to get comfortable. When it works, it saves effort, but the experience could be more intuitive
The team wants to solve probelms, but we are finding that they don't know how to solve the more technical issues quickly. I suspect that they don't have a mature process for escalations, and they don't have a usable knowledge base article repository. They seems to push emails around to let us know that people are working on the issues to find solutions, but this takes weeks and oftentimes still leaves us without a resolution.
All of these platforms are good and offer valuable tools, but where Apollo.io is different is how this one platform does the job of several different ones. It is nice not having to use multiple platforms to get things done and makes integration and analytics issues occur less often. It is user friendly and constantly working to improve.
Databook stood out because the research layer felt deeper and more strategic. It surfaces context you don’t usually get from tools like ZoomInfo or Lusha, which are great for contact data but not for understanding a company’s priorities. I used those more often because they serve broader use cases and are available in most orgs, but Databook delivered a different type of insight when I needed a clearer narrative about an account.
