Remove differences

Lattice

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The Next Generation Platform for Account-Based Everything is Here!

Lattice

Given that just 1% of leads turn into revenue , it’s no surprise that sales and marketing are looking for different approaches to success. Figure 1: Create models for different target markets. B2B sales and marketing have an imperative to be aligned on which accounts to go after and win. in minutes. I invite you to learn more.

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Making the Case for Predictive Marketing and Sales

Lattice

Director of Product Marketing Sean Zinsmeister, and Lattice Engines VP of Product Marketing Nipul Chokshi highlighted the top use cases where predictive analytics are making a powerful impact on revenue funnels. A recent webinar with SiriusDecisions Sr. Research Director Kerry Cunningham, Infer Sr.

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Get the Inside Scoop on Account-Based Everything

Lattice

During a recent webinar Jon Miller, CEO at Engagio, and Nipul Chokshi, the head of product marketing at Lattice, discussed this evolution from ABM to ABE, and highlighted the three key steps companies should include in their ABE process: The first step in ABE is identifying the ‘Who.’

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From 50 to 5,000 to 5 Million!

Lattice

Predictive analytics platforms give you the ability to look at all the data you already have about your prospects and customers – e.g. marketing automation, sales interactions (CRM), support tickets, transactions, product usages, etc. Figure 1: Different categories of customer and prospect data surfaced by predictive platforms.

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From 50 to 5,000 to 5 Million!

Lattice

Predictive analytics platforms give you the ability to look at all the data you already have about your prospects and customers – e.g. marketing automation, sales interactions (CRM), support tickets, transactions, product usages, etc. Figure 1: Different categories of customer and prospect data surfaced by predictive platforms.

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Enriching Your Account Universe: Turn Data into Revenue

Lattice

As marketers, you’re always collecting data about your customers and prospects but there are a few challenges: The data is spread across multiple sources in different formats: How many of us have had to go through spreadsheet hell while trying to standardize simple things like company history, HQ location or annual revenue?

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One Size Does Not Fit All

Lattice

The fact is that these leads have different dynamics and are driven by different motivating factors. Therefore, buying propensity models are likely to be different and not transferable. . Another use case would be a company that is a known user of your competitor’s products.