What a HubSpot audit reviews, section by section, and the findings that turn up when you test whether things work.

We were caught off guard. Not because the feedback wasn't valid. It was. But because none of it had been surfaced before that moment.

If your team is tracking onboarding in a spreadsheet because "HubSpot can't do that," someone told you wrong.

This comes up in almost every healthcare portal we audit… somebody built a field called "Condition" or "Medication" or "Diagnosis Date" three years ago, it filled up, and nobody caught it.

Bot filtering is HubSpot's way of throwing out fake opens and clicks.

Here's how the three break down, and what we find when nobody has separated them.

Your 10DLC registration got kicked back. Annoying, but it's not a black box... the reviewers tell you exactly what to fix.

Credits are here. They're not going away… probably… for now. So the question isn't whether you like the system. It's whether you're getting value from the credits you're already paying for.

The demos were down. Not catastrophically, but enough that the number stared back from the dashboard and somebody said the word "problem."

The right choice depends on what you actually need. Here are the seven service categories that matter most for small teams, what to evaluate in each one, and the proof points that separate good providers from average ones.

If you have HubSpot Service Hub Professional or Enterprise, you have NPS surveys built into the platform. No third-party tool. No additional cost.

Most growing companies can tell you how many leads came in last month. Fewer can tell you how much pipeline those leads created. Almost none can tell you which source, campaign, or rep produced the deals that actually closed.

Sometimes that means building in HubSpot. Sometimes it means pulling the data and doing the work in Excel. Good RevOps is knowing the difference and delivering the answer either way.

Most growing businesses aren't getting bad value from their HubSpot portal. They're paying for a platform and using about 30% of it. Features sit unused. Workflows go stale. Data lives in three systems that don't talk to each other. The platform isn't the problem. The optimization is.

Ask your sales team to describe what a "good" lead looks like using your scoring model. If they can't, or if their description doesn't match what the model is actually measuring, the model isn't built around their definition of good. Start there.

Dashboards are where most marketing automation investments go to die. Teams pay for the platform, turn on a few features, and then end up pulling numbers into a spreadsheet every Monday because the built-in reporting "doesn't quite work." The data is usually there. The setup isn't.

The reps are working. They're booking demos, having conversations, moving deals forward. But the way they're managing their day lives in their head, their email, a sticky note, or a Google Calendar reminder that may or may not have the context they need.