Intent data tells you which accounts are actively researching solutions like yours. A company exhibiting "in-market" signals is more likely to buy than a company showing no signal. Yet most teams buy intent data and then don't do anything with it.
B2B marketing attribution is the process of assigning credit to the marketing touchpoints and campaigns that influence a business deal from initial awareness through contract close. In other words, it answers the fundamental question: which marketing efforts actually drove revenue?
Demand generation is the process of building awareness and driving engagement with target buyers before they're actively evaluating solutions. Demand generation tools help B2B companies run campaigns across multiple channels, identify engaged audiences, and nurture prospects at scale.
Thousands of accounts might be a "fit" for your solution, but you can't pursue them all. Account prioritization is the discipline of deciding which accounts get your best people, budget, and attention first. This framework helps you tier accounts rationally based on fit, intent, and available resources.
Startups are increasingly adopting account-based marketing as a go-to-market strategy, but startup-specific ABM requirements differ dramatically from enterprise implementations. Startups have limited marketing budgets, small go-to-market teams, and need to move quickly. The last thing a seed or mid-market and enterprise companies needs is a complex ABM platform with a six-month implementation timeline.
Account-based advertising puts display ads in front of decision makers at your target accounts. Unlike broad-market ads that reach millions, account-based ads reach specific people at specific companies. This transforms advertising from awareness play into a precision tool that accelerates ABM deals.
Enterprise companies managing complex go-to-market motions across multiple sales teams, geographies, and product lines need sophisticated intent data capabilities. Unlike mid-market organizations that might use a single intent data provider, enterprise teams often require integration with existing data warehouses, API-level data access, and the ability to combine intent signals with first-party data, CRM data, and proprietary buying signals.
ABM requires significant upfront investment. Tools, people, creative, and media spend add up. Yet most teams struggle to prove ABM ROI. Without clear measurement, you risk losing budget to skeptics or unable to expand programs that work.
B2B marketing automation platforms are foundational to modern go-to-market operations. They enable companies to nurture leads, personalize customer experiences, manage complex campaigns, and measure marketing impact on revenue. Choosing the right platform shapes your entire marketing operation.
Running a full ABM program across your entire target market is risky. You're betting significant budget and team capacity on a strategy that might not work for your business.
Intent data has become a cornerstone of modern B2B go-to-market strategy. Intent data providers track buying signals indicating when companies are actively researching solutions in your category. This allows you to time your outreach to companies when they're most receptive and most likely to buy.
Account-based marketing lives or dies by measurement. Unlike traditional demand generation, where you track leads and conversion funnels, ABM measures account progression, buying committee engagement, and pipeline influence. This guide defines the KPIs that matter, how to calculate them, and where to find data for each metric.