We know comparison pages can be skeptical reads ...

And we don’t blame you. It’s impossible to distinguish between blatant competitor smearing and honest attempts to inform readers about which option suits their requirements. That’s why we’ve written our comparison series striving to be the most honest on the internet.



In a hurry? That’s cool, we’ve got you...

Where DataBees wins

      • When you’ve had data accuracy problems when trying Databases
      • When you have contextual data points that only a human would understand
      • When you have a narrow ICP in a niche industry
      • You’d rather have a steady stream of accurate human-verified data day by day.
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Where ZoomInfo wins

      • Your user bases information is easy to find and you’ve used data bases in the past and had minimal inaccuracies.
      • When your sales process only needs common data points
      • When you have a large ICP or broad TAM you want to contact
      • You require a ton of data (and can execute using it very fast)
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You’re likely here because you’re looking to fill your sales machine with accurate contact and sales data related to your Ideal Customer Profile (ICP). In your research, you stumbled across both ZoomInfo and us. With that in mind, let’s recap a top-down description of both solutions:



Provides a service where we execute a personalized data enrichment workflow based on your needs. In simple terms, you tell us about your ICP, and we build a repeatable strategy to find their data. This process is managed by your dedicated Customer Success Manager and research team.


ZoomInfo (Sales OS)

ZoomInfo Sales OS is a frequently refreshed database of company and contact information. Users interact with the platform to curate a list of data around their ICP, which they then add to their CRM and sales processes.

The Area You Care About

ICP Data

ICP Data Gathering

People use DataBees or ZoomInfo to find data points for their Ideal Customer Profile, which includes accounts (companies) and contacts (people).

Databees wins
ZoomInfo wins
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Where Databees wins:

Our service is at its best when you’re trying to target a specific customer profile in a niche or sub-industry uncatered for by your normal databases. For example, ZoomInfo would be great if you were hunting for ICP data in Healthcare companies with over 1000 employees, but let’s say you only wanted to target HealthTech SaaS companies; ZoomInfo overlooks the subindustries in their filters.

As you can see from the image, their subcategories are very broad. This is fine if you’ve got a solution with a large Total Addressable Market (TAM) in the Healthcare sector. However, at times, your sales and marketing efforts need to be more laser-focused to be effective.

As an example, we have a customer in the SaaS Health Tech sector whose ICP is Hospitals who have oncology and surgery departments. ZoomInfo simply doesn’t go this granular. So if your ICP falls within a small subsector that ZoomInfo fails to cater for, that’s where the DataBees researchers come to the rescue.

On that note, for some unique niche industries that ZoomInfo does supply the data for, we’ve had customers come to us frustrated with the accuracy of the data. That’s no shade on ZoomInfo; we know fully well that specific industries just aren’t online heavy, so their data is more challenging to find and keep updated.

Data Volume


DataBees is excellent for finding or enriching unique or contextual data points for a narrow and niche ICP. This is great if you have a niche solution and know your ICP well. If you feel like you fit in this category let’s jump on a call so we can build you a free data sample here.

That said, because of our manual approach this often makes financial sense when you have a high customer LTV and ACV. If you’re a large enterprise with a broad solution you might be better off testing ZoomInfo. If you find the accuracy left wanting (which varies industry by industry) then you could maybe adopt a ZoomInfo + DataBees approach where you grab the lists from ZoomInfo and we verify and enrich them with further datapoints. 

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