Sachin Gupta is the CEO of the AI Inbound SDR platform, Breakout.
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Here's what a modern business-to-business (B2B) buyer looks like before they ever speak to your sales team:
They've read every relevant review on G2. They've pulled three competitor websites into Claude for a summary. They've watched your founder on a podcast on YouTube. They've looked up your company page on LinkedIn. And then they've downloaded your comparison decks, skimmed your case studies and formed a strong opinion about your category, all before your BDR has sent a single email.
By the time they show up on your website, at 9:57 a.m. on a Tuesday, ready to take the next step, most of the work is already done.
Then they hit a form. Or a decision-tree chatbot asking them to "select the issue that best describes your problem." Or a calendar link to schedule time with someone next Thursday.
In those final 10 minutes, everything your marketing team spent months and budget building falls apart.
B2B marketing has never been more sophisticated at the top of the funnel.
Over the past year, I've hosted conversations with CMOs at various companies, exploring how AI has reshaped their teams. These conversations consistently land in the same place: The entire orientation of modern marketing has shifted from broadcasting to listening.
As Allyson Havener, former CMO of TrustRadius, put it: "A lot of marketing teams were talking about what do we want our customers to do, what do we want our market to know about us. ... Now it's really about what signals are we seeing from buyers and how can we act on them faster."
Gartner reports that around 75% of B2B buyers prefer a rep-free sales experience. Most of those buyers want to self-educate, stay anonymous for as long as possible and validate through peers rather than reps.
The best marketing organizations have spent the past two years building for exactly this reality: investing in content, intent data, review presence, AI-powered research and buyer intelligence.
The investment is working. The buyer is arriving better prepared than ever. And then they hit a wall.
What does the average inbound experience still look like in 2025?
A form with eight fields, followed by a 24-hour wait for a BDR to respond during their business hours.
A chatbot that offers three pre-programmed options (or feels like that) and no ability to actually answer a question.
A scheduling tool showing the next available slot as Thursday at 2 p.m. Meanwhile, the buyer who just showed up had already narrowed their shortlist. They had a specific question. They were ready.
Katie Foote, CMO at CaptivateIQ, framed the problem as clearly as anyone I've spoken with. When evaluating her inbound experience, her central question was: "Can we qualify opportunities who don't want any friction or human in the process? Give the buyer that option always." This is the standard most inbound experiences still fail to meet.
CMOs have invested in AI for content generation, market research, call transcript synthesis and real-time competitive intelligence. Outbound motions are more sophisticated today than ever. But the irony is stark in that the moment a buyer voluntarily raises their hand and arrives at your website, they're handed an experience designed for the Stone Age era of SaaS.
Olga Noha, a three-time CMO recognized as Global CMO of the Year, described the broader shift this way: "Decision-making cycles have shortened dramatically. The work that used to take weeks now takes days, if not hours."
Buyers are operating in that accelerated reality. Inbound isn’t.
This is a last-mile infrastructure problem, and it's an expensive one at that.
Here's what fixing it would require:
First, the inbound experience needs to match the intelligence of the buyer walking in.
That means a system that can read context: who they are, what they've already consumed and what stage they're likely at, and then respond accordingly, rather than showing an intern, legal and the CMO at a target account the same front door.
This isn’t a conceptual fix. It's using the data that teams are already sitting on: firmographic data, IP resolution, customer relationship management (CRM) history, pages visited and content consumed. Most teams have this sitting in their stack. The gap is that it informs outbound but never touches inbound.
Second, it needs to operate without requiring a human to be available at the exact moment the buyer shows up. The buyer's timeline doesn't align with business hours. After-hours coverage for your sales team should be a solved problem in 2026, but has been largely overlooked across the board.
Third, the first touchpoint needs to lead with answers, not questions. A buyer who has spent weeks researching doesn't want to fill out a form to earn a conversation. They arrived with a specific question. Qualification should be a byproduct of a useful conversation, not the price of entry to one.
The first two-thirds of the B2B buyer journey have been transformed by AI.
The final 10 minutes are still running on 2015 infrastructure. For most B2B companies, that's where the deal will be won or lost.
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