Breeze Agent analytics

There’s a ton of buzz around HubSpot's Breeze AI. It promises to give you AI “teammates” to handle the grunt work across marketing, sales, and service. And who doesn't want to automate the tedious stuff that slows everyone down? But while automation sounds amazing on paper, the real question is: how do you know if it's actually helping?

That’s where Breeze Agent Analytics come in, or at least, where they're supposed to. I’ve seen people in online forums asking the same things over and over: does it work as advertised? Can you trust the numbers? A shiny dashboard is one thing, but getting real results is something else entirely.

This guide will walk you through what Breeze Agent Analytics can show you, what they conveniently leave out, and what it really costs to even get a look at them. By the end, you’ll have a much clearer picture and can decide if it's the right move for you.

What are HubSpot's Breeze agents?

Think of HubSpot's Breeze Agents as AI assistants that are built to handle specific, multi-step jobs right inside the HubSpot platform. They aren't just for one-off tasks; they’re designed to manage a whole process from start to finish, almost like a digital member of your team.

Here’s a quick look at the main agents and what they do:

• Content & Personalization Agents: These are for the marketing folks. They can help draft blog posts, spin up landing pages, or even tweak your website content for different visitors to make it more engaging.

• Prospecting & Closing Agents: For the sales team, these agents can dig up info on leads, write personalized outreach emails, and offer suggestions to help sales reps close deals.

• Customer & Knowledge Base Agents: These agents are meant to help your support team by answering common customer questions using your knowledge base. They can also spot gaps in your help articles and draft new ones based on what customers are asking.

• Data Agent: This one is like a research assistant. It can analyze your CRM data and pull information from the web to answer business questions you might have.

HubSpot’s big selling point is how tightly these agents are integrated into their own ecosystem. This gives them direct access to your CRM data, which is definitely a plus. But that tight integration can also be a major drawback, since they’re pretty much stuck inside the HubSpot world and can't see anything outside of it.

A closer look at HubSpot's Breeze Agent Analytics

HubSpot gives you built-in analytics to see how your agents are doing. The idea is to track their efficiency and tweak them over time. Sounds great, right? But what you can actually measure really depends on which agent you're using.

Let's break down the analytics for each type.

Breeze Agent Analytics for marketing and content agents

For agents working on content, you’ll probably see metrics tied to output and engagement. Think: number of blog posts generated, time saved writing, engagement rates on AI-drafted social posts, and conversion rates on AI-built landing pages.

But here’s the tricky part: attribution. HubSpot can track clicks and conversions, sure, but it’s really hard to prove that a conversion happened only because of an AI-generated blog post. The analytics can tell you what happened, but they often struggle to explain the why behind it.

Breeze Agent Analytics for sales and prospecting agents

For sales agents, the analytics tend to focus on volume and basic engagement. You’ll be able to track how many prospects were researched, how many outreach emails were sent, and the open and reply rates on those emails.

The problem, as some users have pointed out, is that volume isn't the same as quality. Blasting out a thousand emails is useless if the personalization feels robotic and nobody replies. The dashboard might show a flurry of activity, but it won’t tell you if the AI is sparking good conversations or just creating more noise.

Breeze Agent Analytics for customer service agents

When it comes to customer service, the metrics are all about speed and satisfaction. You can track the ticket deflection rate (how many problems the AI solved on its own), the average resolution time for automated tickets, and customer satisfaction (CSAT) scores from those chats.

Here’s the catch: a high deflection rate can be deceiving. If the AI gives a wrong answer or the conversation gets frustrating, a customer might just give up and leave the chat. Technically, that's a "deflection," but it's a terrible experience that the analytics probably won't flag.

Agent Type	What You Can Measure	What You Can't
Content / Marketing	Posts generated, engagement, conversions	Is the content actually good and on-brand?
Prospecting / Sales	Emails sent, open rates, meetings booked	Are the "personalized" emails leading to real conversations?
Customer / Service	Ticket deflection, resolution time, CSAT	Are customers happy, or did they just give up in frustration?

The hidden limits of Breeze AI (and its Breeze Agent Analytics)

The analytics might look good on the surface, but feedback from actual users and the way this kind of AI works reveal some serious limitations you won't see on a dashboard.

The "black box" problem in Breeze Agent Analytics

HubSpot says its agents aren't "black boxes," but you can't really test how one will handle your specific customer issues before you unleash it. You have to set it up, turn it on for your live customers, and just cross your fingers that the analytics look good afterward. That’s a huge risk because you’re basically experimenting on your customers with no way to predict how it will go.

This is a massive difference from tools that let you test things out first. For example, eesel AI has a simulation mode that runs its AI over thousands of your past tickets in a safe, private environment. This gives you a really accurate forecast of how it will perform and helps you see which tickets are perfect for automation. It lets you get rid of the guesswork and launch with confidence.

eesel AI's simulation mode allows testing the AI on past tickets to forecast performance, a feature contrasting with HubSpot's live-first approach, which lacks robust Breeze Agent Analytics for pre-launch testing.

The walled garden of knowledge: A limitation of Breeze Agent Analytics

Breeze Agents are built to work with data that’s already inside HubSpot, like your CRM or a HubSpot-hosted knowledge base. The problem is, most companies' knowledge is all over the place. It's in Confluence, Google Docs, and buried in old Slack threads.

Because of this, Breeze agents often don't have the full picture they need to give complete and accurate answers. The analytics won't tell you that an agent failed because it couldn't find a key document sitting in another app. This is where a platform like eesel AI really stands out, because it’s built to connect to all of your scattered knowledge sources from the get-go. It ensures your AI has all the info it needs to be genuinely helpful.

An infographic showing how eesel AI connects to multiple knowledge sources, a key differentiator from the limited data access reflected in Breeze Agent Analytics.

Mixed real-world results and analytics discrepancies

If you browse public forums, you'll see the feedback on Breeze is pretty hit-or-miss. <quote text="One user on Reddit vented their frustration, saying Breeze "does NOT understand what I'm asking it for" and couldn't even handle a simple task like finding an email that was already published." sourceIcon="https://www.iconpacks.net/icons/2/free-reddit-logo-icon-2436-thumb.png" sourceName="Reddit" sourceLink="https://www.reddit.com/r/hubspot/comments/1n6ecsj/breeze_ai_yay_or_nay/">

This shows that there can be a big gap between the neat numbers on a dashboard and what your customers actually experience. The analytics might report a "successful" interaction that was, in reality, a total dud for the user. That’s why having more control is so important. With eesel AI, you get a powerful prompt editor and a customizable workflow engine. You can define the AI's exact tone, personality, and what it's allowed to do, making sure it fits your business perfectly instead of boxing you into a one-size-fits-all model.

With eesel AI, users can access a powerful prompt editor and customizable workflow engine to define the AI's exact tone and personality, a level of control not reflected in standard Breeze Agent Analytics.

The true cost of accessing Breeze Agent Analytics

It's really important to know that Breeze Agents aren't something you can just buy off the shelf. They're bundled into the Professional and Enterprise plans of HubSpot's different Hubs. That means to get them, you have to make a pretty big investment and commit to their platform.

First, you need to subscribe to the right Hub. Here’s a rough idea of what that will set you back.

HubSpot Hub	Plan Needed	Starting Price (Billed Annually)	Relevant Breeze Agents
Marketing Hub	Professional	Starts at $800/month	Social, Personalization Agents
Sales Hub	Professional	Starts at $450/month (for 5 users)	Prospecting, Closing Agents
Service Hub	Professional	Starts at $450/month (for 5 users)	Customer, Knowledge Base Agents
Content Hub	Professional	Starts at $500/month	Content Agent

Note: This info is from HubSpot's official pricing page and prices can change or vary based on your plan details.

This bundled, high-cost model is a big ask. It’s a world away from eesel AI's transparent pricing, which has flexible plans, including a monthly option you can cancel whenever. With eesel AI, you don’t pay per resolution, so your costs are always predictable. You're not forced into a massive platform upgrade just to get your hands on some powerful AI features.

eesel AI offers transparent, flexible pricing plans, a stark contrast to the bundled, high-cost model required to access HubSpot's Breeze Agent Analytics.

Are Breeze Agent Analytics enough?

If your company is already all-in on HubSpot, Breeze Agents can be a convenient way to dip your toes into AI. The analytics give you a basic, surface-level look at performance, showing you things like volume and speed.

But those dashboards just don't tell the whole story. The fact that you can't test it safely, its reliance on HubSpot-only data, and the high bundled costs are major downsides that the analytics won't show you. Good AI automation needs more than just a dashboard; it needs transparency, flexibility, and the ability to test confidently before a single customer interacts with it.

So, the question is, do you want an AI solution that's locked into one platform, or one that’s flexible, controllable, and can be completely de-risked before you even begin?

Beyond Breeze Agent Analytics: Get AI analytics you can actually trust

If you're looking for an AI solution that offers real transparency and control, you should take a look at eesel AI.

With our simulation engine, you can see exactly how our AI will perform on your real customer issues before you go live. You can connect all your knowledge sources in minutes and build a fully customized AI agent that works for your team, not the other way around.

Start your free trial today and see the difference for yourself.