Remove Audience Remove IP Remove Metrics Remove Sales Cycle
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A Quick Primer on B2B Conversion Optimization

ConversionXL

Some of the same underlying principles apply, but because of the inherent differences in buying decisions and sales cycles, pulling B2C optimization practices straight from the book might be a bad idea. There are a few things that make optimizing for B2B a different beast: The sales cycle is usually longer.

B2B 48
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The Modern Approach To Account Based Marketing

ConversionXL

The book dedicates quite a few pages to the ‘customer-centric stack’ and argues that because you’re now able to know when someone is in the market for a solution like yours [via IP lookup or 1st or 3rd party intent data], you don’t need to “spam” them. DemandBase.

IP 98
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A Complete Guide to Account-Based Marketing: Win Over Your Ideal Customer

ConversionXL

This shift in focus results in more efficient use of your marketing budget, shorter sales cycles, and a better customer experience. Does your company clearly understand current CAC , LTV, CAC payback period, and other core growth metrics? Step 3: Analyze your audience to build strong connections. If not, they drop out.

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9 Account-based Marketing Case Studies

ConversionXL

How iRidium used audience targeting, networking, and activation to land 34 new sales opportunities. 2,320 sign-ups; 39% of attendees were net new accounts; 34 sales-qualified opportunities; 5 new customers immediately converted with LTV of over $100k each (normally a 9 to 12 month sales cycle).

Marketing 105
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What the Best Growth Teams Get Right

ConversionXL

The best marketing teams in the world today,” Joanna Lord told the audience at The Inbounder, “have T-shaped, domain-agnostic talent.”. With the coronavirus outbreak,” says Fry, “the match rates for reverse IP lookup are declining. In other words, growth marketing tactics constitute only a fraction of the requisite knowledge.

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CXL Live 2017 Recap: Optimization & Growth Insights from 20+ Experts

ConversionXL

Jared Spool: Is Design Metrically Opposed? Useless measures and silly metrics. Metric: A measure we track (usually over time). A metric should tell you what you will do differently. Combine qualitative usability research and quantitative custom metrics (not metrics that come out of the box). Image Credit.