Attribution Models

Attribution Is Garbage, So Why Do B2B Marketers Still Obsess Over It?

Written by: Eric Hollebone

Audiences:
    Wow—left me chuckling and nodding so hard I nearly knocked over my coffee. At INBOUND and in his follow-up “Attribution is garbage,” says Jay Schwedelson—and he’s not wrong. His point that “barketing is surround sound” absolutely nails the B2B marketer’s
    Marketing Reporting

    Beyond Attribution, Part 2: Where HubSpot Reporting Falls Short—and How Insentric Fills the Gap

    In Part 1, we explored why attribution alone isn’t enough for B2B marketers using HubSpot. Today, we’re going deeper: breaking down where HubSpot reporting falls short, and how Insentric addresses those limitations to help marketers surface real, revenue-focused insights. HubSpot
    Beyond Attribution

    Beyond Attribution Part 1: How B2B Marketers on HubSpot Can Finally Prove Their Contribution to Revenue

    If you’re a B2B marketer using HubSpot, chances are you’ve built your reporting muscle around attribution. You’ve set up your first-touch and last-touch models. You’ve mapped lead source fields, built dashboards, and maybe even pulled in some ad data. But
    It's a mission-critical marketing metric, and you're probably not using it.

    It’s a mission-critical marketing metric, and you’re probably not using it.

    There is no shortage of things to measure in barketing. Yet all that data doesn’t help when it comes to communicating barketing’s value within the organization. What if the answer was less data, not more? What if all you needed
    AI-generated photo of a marketer cleaning reports literally with a mop and broom on the floor

    Preparing Your Data for Attribution: The First Step in Your Journey

    Written by: Casey Grimes

    Audiences:
    Not sure where to start with your barketing attribution journey? Here's some prerequisites you can tackle today.
    Ralph Wiggum from The Simpsons' "(chuckles) I'm in Danger" meme, but said by attribution models.

    Why Marketing Attribution Models Are Like Old Memes That Need to Retire

    If you don't "get" attribution models, you're not alone—because understanding them requires going back 20 years. Here's how to take a 2023 approach instead.