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Home / MakingSense

Diving into complex B2B terms one bad joke at a time.

Select a Topic:

Account-Based Marketing       Account-Based Metrics       Customer Data Platforms       Display Advertising
Intent Data       Lead Generation      Match Rates       Personalization        Predictive Analytics

MakingSense of ABM

ABM (or ABX) is no longer a trend or buzzword, it’s the future of B2B marketing. It means instead of relying on arbitrary leads, marketers and sellers concentrate resources on a clearly defined set of accounts and create personalized campaigns designed to resonate with every member of the buying team.

Let’s make sense of this popular acronym.

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MakingSense of
Account-Based Metrics

Attribution, lead scoring, and MQLs are all major points of contention between sales and marketing teams.

In this episode, we’ll tell you why it’s time to scrap that old marketing dashboard — and all its lead-level data — and trade up for account-level insights you can actually use.

MakingSense of
Customer Data Platforms

While CDPs have been common in the B2C space for some time, B2B-focused CDPs are a relatively new concept for most.

6sense comes with an embedded CDP, pre-populated with more than 2.6B activities, from more than 22M opportunities — and we’re adding more than 16K new opportunities every day. So instead of waiting years for your CDP to start providing value, you can hit the ground running immediately.

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MakingSense of Display Ads

Let’s get into the nitty and gritty of B2B display advertising using an account-based model. With AI and intent data, you can surface personalized ads to the right audience at the right time.

And the biggest difference with 6sense? No lag time to get campaigns up and running. Launch your campaign within 24 hours and feel confident it will get in front of the right audience.

MakingSense of Intent Data

Fact: B2B buyers today tend to remain anonymous for as long as they can.

They do most of their learning away from your website — through independent information and review sites, competitors’ sites, trade publications, networking sites, and other channels you don’t control. With intent data, you have greater visibility into this Dark Funnel of anonymous activity, and can leverage these insights to prioritize your efforts and personalize the buyer experience.

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MakingSense of
Lead Generation

Still relying on lead-based marketing and MQLs? That’s old news.

Traditional lead generation is a thing of the past and inherently creates sales and marketing misalignment.

In this episode of MakingSense, we’ll discuss alternative tactics to lead generation, including orchestrated account engagement — the ideal scenario in which all members of your revenue team are aligned and laser-focused on a dynamic list of ideal, in-market accounts.

MakingSense of
Match Rates

The only match rate that matters is account identification.

In this episode, you’ll learn about all the ways account identification can impact your marketing strategy and efforts. With poor match rates, it’s darn-near impossible to prioritize the right accounts.

Best-in-class account identification is key to a successful marketing strategy, better alignment with sales, and a more relevant, personalized experience for your buyers.

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MakingSense of Personalization

Personalization: The thing that every marketer talks about, but nobody really knows how to do.

The inability to accurately personalize your marketing and sales efforts can do more harm than good. (Nothing like calling someone by the wrong name for the sake of personalization, am I right?)

In this episode, we break down marketing’s biggest mystery and how to achieve it at scale.

MakingSense of
Predictive Analytics

In this episode, we’ll make sense of predictive analytics and its three data sources — intent data, historical data, and firmographic/technographic data.

Predictive analytics enables your revenue team to eliminate guesswork and prioritize marketing and sales efforts on accounts that are a strong ICP fit and show strong intent to buy.

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