r/hubspot

Quick note before you scroll: I run a weekly LinkedIn newsletter called The Intel Operator™ - GTM systems and RevOps. Not here to promote. And full disclosure - I had Claude help me pull the key takeaways from my latest article for the HubSpot community specifically. Full piece with the systems theory background is linked in my profile.

Otherwise, here's your under-5-minute version:

***

The AI Prospecting Paradox: Why the Most Dangerous Moment in Your HubSpot Portal Is When It Works

A few weeks ago, newsletters from people I actually know started landing in my spam folder. Not randoms. People I email regularly. Then a meeting invite I'd been looking forward to disappeared into the void.

Around the same time, I kept seeing the same question pop up in HubSpot community threads: "Is the Prospecting Agent too good to be true?" and "I set it up correctly - why are results dropping off?"

Not a coincidence. Here's what's actually going on.

The tool works. That's the problem.

Before AI, a good SDR could send maybe 50 solid, personalized emails a day. That limit was annoying, but it was also a natural speed bump that kept inboxes from getting completely overwhelmed.

The Prospecting Agent removes that speed bump entirely. It can research, write, and queue thousands of emails a week. That's the whole point.

But here's the thing nobody tells you: when you remove one bottleneck, a new one appears somewhere else. Always. The water doesn't disappear - it just floods a different room.

In this case, it floods two rooms at once: your domain reputation and your company's budget.

The crowded highway problem

Think about what happens when a new highway opens. Traffic flows great on day one. Then everyone figures out it's the fastest route. Then it's gridlocked.

That's your inbox right now.

Every company with a HubSpot seat is sending "highly personalized" AI emails. Their competitors too. And their competitors' competitors. The inbox got its own new highway, and everyone jumped on it at once.

Google, Yahoo, and Microsoft see all of it. And just like a city that closes lanes when traffic gets out of hand, they start throttling senders who are overloading the system.

Here's how it plays out for you: week two, everything looks great. Week six, open rates start slipping. Week ten, your emails aren't going to spam - they're not arriving at all. Worse, your CEO's emails to board members start getting filtered. Your whole company's domain takes the hit, not just the sales team.

Google and Yahoo have hard thresholds on this. Above a 0.1% spam complaint rate, your emails get delayed and filtered. Hit 0.3%, and ISPs start permanently throttling your domain. Getting out of that hole takes months.

Most companies have no idea where they stand. Google Postmaster Tools is free and shows you exactly where you sit. If you're not checking it, you're driving without a dashboard.

The bill that shows up because things are going well

The Prospecting Agent now costs about $1.00 per lead recommended under HubSpot's new Breeze pricing.

Five reps running it at 50 leads a day = $5,000/month before a single deal closes. Six months = $30,000. That number needs to be in your budget before you turn it on, not when your CFO asks why the HubSpot invoice looks like a car payment.

But that's actually the more obvious cost. The sneaky one is the Marketing Contact trap.

Here's how it works. Running sequences through Sales Hub doesn't technically require Marketing Contact status, so it feels like you're staying in your lane, cost-wise. But the logical next move - building a nurture workflow for people who don't respond - automatically flips those contacts to Marketing Contacts. That's just how HubSpot works.

So you do the right thing operationally, and it triggers a cost you didn't plan for.

Month 1: 5,000 new contacts, ~4,000 don't respond, you put them in nurture. Marketing Contacts. Month 2: same thing. Another 4,000. Month 3: you're sitting on ~12,000 Marketing Contacts from a program you thought was staying within budget.

HubSpot Pro includes 2,000 at base. Overages run about $250 per 5,000 contacts per month. At 25,000 contacts - totally realistic after six solid months - you're adding $1,250/month in costs that were never in the plan.

Not because it failed. Because it worked.

Four things to do before you scale

1. Clean your list before you spend a dollar on credits. At $1/lead, a bad email address is a dollar in the trash. Validate your contacts before the Agent ever touches them. Bounce rates tell you something went wrong. Validation stops it from going wrong in the first place.

2. Decide when non-responders become Marketing Contacts - don't let it happen automatically. Set the rules upfront: how many touches, what engagement score, what ICP criteria. Make it a deliberate decision, not a default setting you discover in your billing statement.

3. Model the budget for when it works, not just when it breaks. Run the 6- and 12-month numbers at your target volume. Show finance the Breeze credit cost, the contact tier cost, and the overage curve before launch. A proactive budget conversation is leverage. A reactive one is damage control.

4. Use a sending subdomain. Non-negotiable. Set up something like outreach.company.com for all Prospecting Agent sends. If the Agent hits a bad batch of data and tankes your sender reputation, the damage stays contained there - not on the root domain your CEO, your support team, and your billing system all share.

The companies that treat the Prospecting Agent like a precision tool - clean data, defined guardrails, budget modeled in advance - will get a real lift out of it.

The companies that treat it like a fire-and-forget volume machine will get an expensive lesson somewhere around month five.

The difference isn't how technical you are. It's whether you thought through the second problem before the first one solved itself.

***

So now that we're on a more level playing field, what are you all thinking about with all these new agent upgrades in HubSpot? Have you run into something like this or any others that feel like unexpected potholes?

Do you think I'm wrong? Is this not a big deal?

We are using HubSpot as CRM and AirCall to call. Right now there seem to be two ways, one to use the direct integration within HubSpot and one where you use the AirCall Chrome Extension to make Numbers clickable for dialing in the seperate AirCall Workspace App.

What is the better way of the two and why?

I have a small business and I am the only person in our company that uses hubspot. We pay around $200/mo. But now that I need to use ONE webhook in a workflow, they want me to upgrade to a new tier that costs $800/mo (on top of my current subscription). This is insane!!!

EDIT: the problem I am trying to solve: whenever a contact from LinkedIn ads is created in Hubspot, I want it to trigger a workflow in n8n, which will scrap that lead through a linkedin scraping API to get to the specific linkedin profile. For those who don’t know, linkedin ada does not provide the lead’s linkedin profile, which is absurd, but I found a way around it. I tried creating a hibspot app but there are just so many problems that keep appearing that n8n doesn’t execute properly with the app. I will try to connect linkedin ads API directly to n8n, so I can bypass hubspot (at least the webhook part)

Hey there!
I'm working for a B2B SaaS company and we're looking to explore the prospecting agent.
Has anyone had bad experiences with it and if yes, why?

+ i'm geniusly worried about email deliverability impact meaning i don't want the agent to always end up in the spam of my prospect and damaging my email deliverability. I've already done all the hubspot recommendations (Dmarc...) for this. Does anyone has recommendations about how to best protect your email deliverability using the prospecting agent?

TL;DR — Sales guy at HubSpot promised some things that the package I bought doesn’t provide, which I have in writing. Contacted HubSpot to downgrade my contract and they’re not allowing me to do so even though they admit it was improperly sold. Has anyone successfully done this?

For the rest of the context, I’m actually a fan of HubSpot. Granted, I haven’t tried 100 different CRMs but I understood theirs fairly quickly, I think it’s really responsive, and I think they’re fairly priced in their lower tiers.

I’m a solopreneur and a financial advisor. I was contacted by a guy at HubSpot and I told him I was just getting going and now wasn’t a good time. He respected that and reached out about six months later towards the end of the year. He said he was moving on to another job and could get me about half off the package we talked about previously.

I asked him a number of questions over email and the one that stuck out to me was when I asked him if the package I was buying had the ability to scrape sites like LinkedIn to help me find leads. He said it would.

That was not true.

I did HubSpot’s onboarding’s and tried to find other FA’s like me who were in this alone and trying to grow a business. I quickly found out the package he sold me didn’t come with the dedicated marketing support and automation I was promised. It was presented as if HubSpot was going to do these things for me.

I don’t hold this against HubSpot and told them as much. This was a rogue sales guy doing what he could to make a sale. I just asked that they move me to a lower tier of the marketing package since I was promised things that didn’t exist but I did like some of the technology I bought.

I was told that while it was unfortunate, I was denied.

So I’m wondering if anyone else has successfully won this argument and what did they do. My intention wasn’t to leave HubSpot altogether, but at this point, I have to just based on principle. I’ve also heard I’m not the only one this has happened to.

Sorry it’s long but I felt like that context was important.

I’ve tested a few SMS automation tools with HubSpot and technically they all worked, but the actual outcome barely changed. Leads still dropped off unless someone from the team jumped in quickly. What I’m trying to solve now is the gap between first response and actual engagement. Curious what tools people trust once inbound starts scaling and manual follow-up becomes inconsistent.

I keep seeing 'AI updates your CRM' demos that handwave over the actual technical gap. it's not 'an llm drafted a note', it's how the agent does the write. HubSpot's contacts object dedupes on email as the default unique, so if you extract contact info from an inbound thread and POST without first hitting the batch/upsert endpoint with idProperty=email, you fanout duplicates fast.

Second thing nobody flags: associations are a separate api call after object create. 'log a meeting on this deal and contact' is actually three calls (meeting create, associate-to-deal, associate-to-contact). an agent that fails between calls leaves orphan meetings nowhere in the timeline and you find them three weeks later when someone asks why the deal stage never moved.

per-action approval before each write is the unglamorous part of the desktop agent space. if the tool can't show you the exact JSON body and the dedup key it's about to send, you can't audit the logic, and the cleanup you'll do six months in costs more than the time the agent saved.

dedup logic lives at the write boundary, not in the model.

Have anyone tried to use both the Claude Connector and the Breeze AI agent in HubSpot? Do they severely overlap eachother, and one works better than the other?

Or do they do different things? If so, what work should we do with which at our company for leads / meetings organization and general CRM work?

AI-powered HubSpot setups are popping up everywhere lately and we want to see what you're actually building.

What are you automating? What's working? What broke spectacularly?

Share your build, your stack, or even just the idea you haven't tried yet.We want to see what you're building.

We have a registered Marketing Hub for Hubspot and we want to use its feature but it does not appear on our menu. Any thoughts why it may have come in to this?

I have a list pf close associates I email periodically. After emailing them I text and tell them I did so. Most say they have opened it, and Hubspot agrees with them. Some say they opened it but Hubspot shows delivered but not opened. And some cannot find the email in spam or suspect or junk folders even though Hubspot says delivered. Most of my list are on gmail, then iCloud, and then the occasion Yahoo.

Any insight into what is going on here?

We’re building a forecasted revenue report for our growth team that sums the total of this year’s Closed Won deals, by client company. We tried a calculated property, workflow and Close Date after 12/31/2025.

What do you do to get the total deal revenue for 2026 only? Do you move last year’s closed won deals to a separate pipeline? TIA

We sell event sponsorships as part of our business, and all of their contracts are through Hubspot. As we email sponsors logistics for an upcoming event, we’re wanting to include a link for them add on WiFi and power to their sponsorship. This currently a tedious process that we’re looking to streamline.

Right now, if a sponsor wants to buy WiFi or power, they have to email us, we go into their deal, and crate an invoice. It’s very manual.

Ideally, we just include a link in the mass email that goes to all sponsors where they click, select their option, and pay. Hubspot then automatically links the deal based on their email address.

What would be the best way to streamline this so that we’re not having to do this process fully manually? Open to all ideas.

​

I’ve noticed duplicate cleanup often becomes painful after imports, migrations, form submissions, or manual sales entries.

Some teams seem to export CSVs, compare records manually, decide which record should be the master, then re-import cleaned data.

Curious how others are handling this in practice:

- Do you use HubSpot’s native duplicate tool?

- Do you clean through Excel/Sheets?

- Do you use Operations Hub or another dedupe tool?

- What is the hardest part — finding duplicates, choosing the master record, or safely re-importing cleaned data?

Trying to understand what workflow actually works best for HubSpot cleanup.

Hello everyone!

I'm an email marketing expert, but I specialize in D2C ecommerce. Despite this, a B2B client has hired me (a marketing agency for B2B companies) to properly set up HubSpot, configure their pipelines, define their buyer intents, create automations and notifications based on the lifecycle stage, and then manage their newsletter and flows.

I'm currently at the setup and audit stage.

What I've found:

- There are no flows set up.

- The pipeline is poorly constructed and outdated.

- Buyer intents aren't being used.

- There are no coherent lists; there are lists based on email campaigns, and no segments.

- Lifecycles exist, but almost everything has ended up as leads, and I don't think there's anything automated to move them from lead to the next stage and so on.

There are many things to fix, and I'm a bit lost on how to implement it and at what steps.

I'm currently working on setting up a new pipeline where I'd like to include some automation, if possible, and then move on to the contact phase.

Who can advise me on how to do this?

What should a good pipeline include? Where can I learn about pipeline automation?

And what do you recommend for lifecycle stages? How can I automatically move them from one point to another?

Thanks a million!

We want to track back converted leads from our FB ads in HubSpot

This seems like it should be simple but struggling to figure it out.

Is this possible?

We want to know how much ad X is costing based on customer that enquires on that.

We use HubSpot + Facebook Instant Forms.

Thank you!

Is anyone else seeing companies add “Ask AI about us” sections to their website footers now?

One of our clients asked if they should add links to ChatGPT, Gemini, Claude, and Perplexity directly on their website so users could “research the company with AI.”

At first, it sounds like a great idea.

It feels like a trust signal:
“If AI validates us, customers will trust us more.”

But I’m not sure most companies realize the tradeoff they’re making.

The moment you send users from your website to a public AI platform, you lose control of the conversation.

Now the AI decides:

• what sources to use
• which competitors to mention
• how your brand is described
• whether the information is accurate
• and what the next step in the user journey becomes

And since these models pull information from all over the internet, you can end up with:

• competitor content
• Reddit threads
• outdated articles
• random blogs
• SEO spam
• incorrect information

all influencing the answer about your own company.

What’s interesting is that many businesses seem to be treating this like a modern version of social proof, but in reality they may be outsourcing brand positioning to systems they don’t control.

I also think people are underestimating how easy it will become to manipulate AI narratives around brands through content engineering and “AI SEO.”

Curious where everyone stands on this.

Would you add an “Ask AI about us” section to your website today?

Why your martech stack is failing the revenue test (and how to fix the core)

I. The fallacy of the additive stack
Most scaling B2B companies treat their marketing technology like a renovation project that never ends. They add a conversational AI tool, a new intent data provider and a niche analytics platform, yet the core problem remains. This weeks Adweek report on the "hidden engine" of marketing highlights a painful truth: despite record investment in databases, data remains siloed. We argue that adding more tools to a fragmented foundation only accelerates the rate of failure.

II. The "Frankenstack" is a systems problem, not a budget problem
A siloed infrastructure creates a distorted view of the customer lifecycle. When your CRM, marketing automation and sales tools do not speak the same language, your decisioning core is compromised. CMOs often mistake these technical debt issues for tactical failings. If your data is not interoperable, AI cannot "activate" it into a meaningful customer experience. You are simply automating the delivery of poor data.

III. HubSpot as the single source of truth
To build a functional revenue engine, the infrastructure must be unified. We believe HubSpot should serve as the central nervous system of the GTM operation. By consolidating the stack around a single, clean database, you eliminate the "drag" of manual data reconciliation. This is not about vendor loyalty; it is about ensuring data integrity. A unified core allows for real-time visibility into pipeline velocity and true attribution, which are impossible to achieve in a fragmented environment.

IV. AI as a director, not a pilot
There is significant noise around AI as a magic solution for data activation. Practical applications of AI in a B2B context require a structured environment. You cannot layer predictive modelling or generative tools onto a messy database and expect commercial results. AI should be used to automate the high-volume, low-value tasks that slow down your team, but it must be governed by humans and fed by a clean HubSpot core.

V. From tactics to infrastructure
The transition from a cost centre to a revenue engine requires a shift in focus. CMOs must stop looking for the next "silver bullet" tool and start auditing their revenue infrastructure. A robust system prioritises flow and visibility over the sheer number of features. When the engine is tuned correctly, marketing moves from guessing what works to executing on data-backed certainty. The goal is a system that scales without a linear increase in headcount or complexity.

I work at a small higher ed institution (around 1,000 students) as the CRM Admin in the IT department. We just got a new University president who has experience with and loves Hubspot. We currently use Salesforce EDA as our main CRM tool. My director and I want to move Education Cloud or Slate as both are improvements to our current org and are built specifically for education. The new president wants to move fully into Hubspot. What sort of things could change our mind that would make Hubspot more tantalizing?

We have around 130,000 company records in HubSpot. Our Clearbit enrichment coverage was sitting at 1%, because enrichment requires a populated company domain, and most of our companies didn't have one.

We got vendor quotes in the $15K-$25K range. Before signing anything, we asked whether we already had the data somewhere. Turns out we did.

Companies without a domain still had associated contacts, and majority of those contacts had valid work email addresses. We just weren't using them.

What we built

A HubSpot company workflow with a custom code action. The workflow enrolls any company where our custom "Extracted Domain" property is blank, and unenrolls as soon as it gets a value. The property is write-once, so if something's already there, the code skips it immediately and never overwrites.

The logic runs in this order:

• Pull primary contacts only. We fetch all associated contacts in one pass using HubSpot's v4 associations API, which returns association labels in the same response. We filter to contacts labeled "Contact with Primary Company." Worth noting, HubSpot's own Primary Company contact property is unreliable for this. The association label filter is the right approach.
• Batch fetch contact details. We pull properties for qualifying contacts in batches of 100 via the batch read endpoint. Fields we care about: email, deal count, owner, activity count, and a custom Record Type field we use internally.
• Filter out noise. Before touching a domain, we exclude contacts with no email, contacts flagged as phone integration records (not real leads), generic personal email domains (Gmail, Yahoo, Outlook, etc.), and any internal company domains.
• Find the winning domain. Among what's left, we find the most frequently occurring domain. When there's a tie, we break it with a weighted score that prioritizes contacts with associated deals first, contacts owned by a real rep second, and general activity third.
• Write the output. The winning domain goes into the "Extracted Domain" property. A confidence score (the winning domain's share of qualifying contacts) goes into a separate "Domain Confidence" property.

A second workflow picks up from there. Once a company has an Extracted Domain, a confidence score above 70%, and Company Domain Name is unknown, it copies that domain into the native Company Domain Name property, which fires Clearbit enrichment automatically (when setup). Anything below 70% gets flagged for manual review instead.

Results

About 41,000 companies went through the full process. Enrichment coverage on those companies went from 1% to 94%.

What it unlocked

• Clearbit now has enough data to actually do its job at scale
• ZoomInfo credits are being used to fill gaps Clearbit can't cover, instead of duplicating work
• Our lead scoring model finally has enough clean firmographic data to work with