Article
Winning B2B Markets with Metro-Intent Data
Best Practices: Metro-Intent Data

B2B Marketing and Sales leaders are constantly looking for the next innovative method to give them a competitive edge - particularly in driving revenue for their business. One such method that’s become increasingly popular is intent data. But, like many B2B crazes, many of the very people who could benefit most from intent data don’t understand what it is, how it works, or where it fits in their demand gen strategy.
Intent data can be a powerful tool to help Sales and Marketing understand the context necessary to figure out who’s most ready to buy their product. But, like many MarTech tools, intent data works best in certain specific contexts, and less so in others. Only by understanding both the power and limits of intent data can you be sure you’re getting real value, and not falling victim to “shiny marketing object syndrome.”
Intent data alone is not a solution, but when you understand the topic, the most likely persona interested in that topic and the people within that region who are already engaged, you have the opportunity to create highly-precise campaigns your sales and marketing teams need to close business.
“Context” is all about gaining insight into who the person is that is taking the action in question. For example, if the person reading this white paper is a marketer at a company, it’s highly possible that they are considering intent data as a solution, if not already evaluating a vendor. By contrast, if the reader is a journalist at a publishing company, it’s more likely they’re writing an article and looking for people to speak with on the subject. The former would be a potential customer, and so their interest in this topic becomes relevant, whereas the journalist’s interest is likely not.
We need to understand the context before dedicating our limited sales and marketing resources to pursuing leads that might not pan out. Knowing the context surrounding the leads that show intent is critical to cutting costs and maximizing our close rates.
Standard third-party intent data tells you which companies are searching globally for the intent topic(s) (keywords or phrases) that you’ve selected within the confines of your intent provider. Metro-level intent data provides further insight into the specific metro area that those searches are coming from.
Having metro-level intent provides more geographical context to a lead, but it also enables you to infer some degree of predictive insights. If your intent is coming from San Francisco, and you know that the company’s marketing team operates from San Francisco while their sales team operates from Dallas, you can deduce that your intent is coming from that company’s marketing team specifically.
Metro-intent refers to the buying intent and behavior of customers within a specific metropolitan area or urban region. It focuses on understanding the preferences, needs, and purchasing signals of individuals or businesses located in densely populated urban centers.
This type of data can include a variety of factors such as online search behavior, social media activity, engagement with advertisements, local economic indicators, and demographic information specific to a metro area.
Most Are Missing Out...
Latest Articles

Article
Scaling outbound without scaling headcount: why technographics and third-party data belong in your GTM strategy
You do not fix outbound scale with more reps alone. You fix it with better targeting, cleaner execution, and faster decisions. That shift starts with technographics and third-party data.
When your team builds outbound on static lists, you pay for it twice. First in wasted rep time. Then in missed accounts that fit your market but never enter your motion. If you want to scale outbound without adding headcount, you need a GTM model that tells reps where to focus, when to act, and which accounts deserve coverage now.
That is where technographics and third-party data change the equation. They help you define a sharper total addressable market, prioritize accounts with higher fit, and route outreach based on real market conditions instead of guesswork.

Article
The best LinkedIn prospecting tools for SDRs
You open a profile. The person looks like a fit. Now what? Most SDRs copy the name into a spreadsheet, run a search in whatever data tool their company bought, and hope the email comes back clean. That process costs you 20 minutes per prospect on a good day.
The tools on this list cut that time down. Some of them pull contact data. Others score accounts, map buying committees, or surface lookalike targets. Each one does something different, and the right stack depends on what slows you down most.
This guide walks through the strongest linkedin prospecting tools available to SDRs right now, what each one actually does, and where each one falls short.

Article
How to Find Direct Dials From a LinkedIn Profile Without Paying for a Sales Database
You found the right contact. The title matches. The company fits your ICP. Now you need a phone number that works. Every outbound rep hits this wall daily. The profile is right there, but the direct dial is locked behind a paywall or buried in a stale database. You need a faster way to find direct dials from linkedin profiles without switching tabs or spending hundreds a month on another tool.
Here is exactly how to do it, step by step, for free.


