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Data Filters that Sales and Marketers Love

Data-driven or account-based marketing starts with selecting the right accounts. 

People call them ‘Hero‘ accounts. We call them the ’Best Fit Accounts’ to promote all-inclusive terms. 

Here are some popular data filters that can help you find your best fit accounts. 

Spending time to find best-fit accounts benefits everyone in the sales team.

The last two years have changed the way people find filters. Data filters create an ideal customer persona (ICP), identify total addressable market (TAM), and help you decide accounts to target. 

As a result, it enables you to determine the number of resources for ABM/non-ABM arrangement.

In this newsletter, we’ll explore some of the popular data filters that are in demand and what’s the future of the data filters 

Table of Contents

Data Filters Used By DevOp Tech Sellers

DevOps platforms are in demand and getting funded too. The data filter in demand these days is the number of software developers. There are many ways to figure out the companies with a higher number of software developers.

  • Team Intelligence: It might be an underrated filter, but the teams that use it love it. Identify companies with DevOps teams that use Github, Bitbucket, or other DevOps tools. A hypothesis is that you would be a big team if you have a DevOps team and are using Github
  • Technographics: Companies using software configuration or software testing tools. This slice will also work fine. 

Data Filters for IT Outsourcing/Staffing Companies

Staffing agencies have had a ball going on for the last 2 years. In contrast, not much magic happened before the pandemic for them.

Data filters useful for them:

  1. Remote or contract hiring 
  2. Willingness to hire outside the headquartered country 
  3. The number of job hirings if it’s less than 5, 10, 15, 20 a month.

Emerging Data Filters

The last generation used to have filters such as employee count, revenue, industry. Some of these filters are a MUST today.

New filters are coming up as data becomes readily available. For my business, I like product filters. 

For example, who sells cloud security, application security, and DevOps platforms. 

If you are targeting B2B, products (and solutions/consultancies/services) by them become essential. These filters are crucial to identify the market size and your positioning. 

The more and more personalization you wish to do, the better the filters you would need.

Future Prediction

This decade will be the last for us to use filters such as revenue and employee count. This data cannot be updated frequently, so your planning to utilize this data might not be sustainable. 

Someone has to stand up, either you or vendors. OceanFrogs will be that company.