
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 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.
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
LLR Partners Boosts Marketing Impact with Insentric’s Data-Driven Insights
How LLR Partners Confidently Measures Marketing Influence Across the Entire Customer Lifecycle
LLR Partners, a private equity firm, struggled to connect their marketing efforts to revenue across long sales cycles. Their manual reporting methods were unreliable and time-consuming, leaving them unsure of marketing’s true impact.
By adopting Insentric, LLR gained real-time, end-to-end campaign attribution and reliable data insights. The platform’s self-healing tracking and deep visibility into customer engagement empowered their team to confidently measure marketing’s influence and optimize resources.
Kristy DelMuto, LLR’s VP of Strategic Marketing, said it best: “Insentric gives us the confidence we need to make data-driven decisions.”

Preparing Your Data for Attribution: The First Step in Your Journey
Not sure where to start with your barketing attribution journey? Here's some prerequisites you can tackle today.

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.