AI-Native B2B Marketing

with Aaron Bird, CEO and Co-Founder

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A letter from the CEO

I've spent my career building marketing technology from the inside — starting with Bizible, which Marketo acquired in 2018, then running product through Marketo's own $4.7B acquisition by Adobe.

By the end of that run, I could see where marketing platforms were breaking: rigid campaign builders, data trapped in silos, no real link between what customers were doing in the product and what marketing sent them next. So in 2021, I started Inflection with Dave Rigotti and Vic Davis — people I'd worked alongside through all of it. We built the platform we wished we'd had: marketing automation native to the modern data stack, where product usage, customer behavior, and revenue actually talk to each other.

That's why I think we're well placed to talk about what's next. We're now witnessing a shift as big as the one I lived through then — from the internet era to the AI era. Here's how I see it playing out, and what it means for CMOs.

01 The Control Shift

Sometime in the Last Two Years, the B2B Buyer Went Dark

Control moved from the vendor to the buyer.

Internet Era AI Era

The vendor ran the process — gate, score, nurture — all the way to the buying decision. The buyer is anonymous until right before the decision. Everything earlier is influenced, not controlled.

awareness

research

evaluation

decision

adoption

advocacy

Awareness through decision can no longer be controlled and orchestrated — only influenced through authentic customer experiences.

67%

of B2B buyers prefer a rep-free buying experience

~17%

of the buying journey is spent with any supplier

45%

of buyers used AI in their last purchase

All statistics sourced from Gartner

02 The Slop Flood

The Cost of Producing Marketing Fell to Zero — So Did Its Credibility

Anyone can generate infinite content, so everyone does.

Artwork to place 1241:12743 · signal / noise fan

● Buyers

✓ Peer recommendations ✓ G2 reviews ✓ LinkedIn posts

▲ Batch email blast ▲ AI marketing post ▲ Gated e-playbook ▲ AI blog post

Almost nothing gets through the glass anymore — a peer, a customer, a community they trust.

~52%

of newly published web articles are AI-generated

Source: Graphite, 2025

“Slop”

Word of the Year, 2025

Source: Merriam-Webster

60→26%

Enthusiasm for AI-generated content, in two years

Source: eMarketer

03 Where Value Went

Value Collapsed to the Two Ends of a Barbell

The slop flood pushed all the value in marketing to two extremes — and hollowed out everything in between.

Artwork to place 1241:13217 · barbell curve

◆ Genuine human experiences ✓ In-person events ✓ Communities ✓ Social proof ✓ Customer stories

◎ The middle slop ▲ Default AI email ▲ AI blog post ▲ AI-generated playbook ▲ AI LinkedIn post

◆ Messages only you could send ✓ Product usage ✓ Account history ✓ Relationship context ✓ First-party data

We’re all using the same models. The only differentiation left is unique data that fuels unique context.

04 The Old Way

Built for a Buyer Who No Longer Exists

The 2006 playbook, encoded in software: gate the content, score the clicks, drip the emails, pass the MQL. Every prospect a coin in the gumball machine — keep cranking until an MQL pops out.

Artwork to place 1241:13619 · narrowing funnel

▤ Gated content ▤ Form fill ▤ Lead score ▤ Drip nurture ▤ MQL Handed to sales: journey over

The old marketing stack was engineered for one narrow moment — the form-to-MQL window — even though that’s now the one part of the buyer journey that’s gone dark, with most research happening long before anyone fills out a form. Because it was built to move prospects in bulk, it defaults to batch-and-blast: one message to an entire list, which is the opposite of relevance.

Every one of those messages also has to route through a specialist and a ticket queue, making the whole system ops-heavy by necessity. You can get speed or you can get quality, but never both at once.

And even when it works, it stops at the handoff to sales: it’s blind to everything that happens after, whether that’s the actual customer experience or the real behavioral data sitting in the warehouse.

05 The New Way

One Continuous Loop, Run on Quality

The funnel becomes a loop. Buyer experience and customer experience feed each other — and marketing’s scope is the whole thing: human where it counts, precisely 1:1 everywhere else.

Artwork to place 1245:13969 · the loop

Demand Brand

◷ Buyer experience ◆ Advocates ◷ Customer experience

Expand

The new way replaces the linear funnel with a continuous loop, where buyer experience and customer experience feed into each other rather than ending at a handoff. Demand and brand work together to attract and convert buyers, while the customer side takes over post-sale to adopt, expand, and advocate.

That advocacy loops back to fuel new demand, making the two halves genuinely circular rather than sequential. This shows up concretely in what changes: instead of reaching only “leads” who filled out a form, marketing now reaches the whole loop — prospects, users, and customers alike; instead of sending one message to an entire list, it sends 1:1 relevance built from a company’s own data; and instead of measuring success by MQLs, it measures pipeline, net revenue retention, and full-funnel revenue.

Dimension	The old way	The new way
Who you reach	“Leads” who filled a form	Prospects, users, and customers — the whole loop
What you send	One message to a list	1:1 relevance from your own data
What you measure	MQLs	Pipeline, NRR, full-funnel revenue

06 How Work Gets Done

AI Changed How Marketing Teams Work

Artwork to place 1245:14157 · before / after

Before

Gated by specialists

Marketer Ticket Queue Specialist Platform

After

Same standards, enforced automatically

Anyone on the team Agent Platform

Four hops and a queue became one conversation — with the guardrails intact.

Who can build

The platform got democratized

The old way	The new way
Technical specialists, through a ticket queue	The entire team — same standards, enforced automatically

How the work gets done

Agents work like coworkers

The old way	The new way
Humans operating complex software	Agents as coworkers: describe the goal, review, and ship

07 Winners & Losers

We’ve Reached an Inflection Point

It happened when buyers moved to search: the teams that rebuilt marketing for the internet won — and their playbook became the software everyone still runs today. The buyer just changed again. The split has already started.

Artwork to place 1252:16275 · the fork

▦ 2006 — Buyers moved to search ▦ 2026 — Buyers moved to AI

The losers The winners

The losers	The winners
Still running the 2006 playbook	✓1:1 communication only you can write
	✓Customers telling the story
	✓Efficient teams of people + agents

The losers won’t feel a moment of failure — just CAC creeping up and reply rates drifting down, quarter after quarter.

The buyer changed. The economics changed. Legacy tools haven’t caught up.