A DemandScience Manifesto

From Martech Stacks
to Marketing Outcomes

Pipeline got harder. Budgets got tighter. And the tools sold to fix it became the single biggest tax on your growth. This is the case for tearing down the stack — and paying for outcomes instead.

See what it's costing you Read the argument

By Bill Hobbib (CMO) & Chris Moody (Chief GTM Evangelist)

Most companies are doomed in the next 12 months

01 / 05

More tools. More problems.

of organizations running 11+ tools have unclear ROI. The bigger the stack, the messier the data — and the murkier the return.

Source: DemandScience

02 / 05

Martech isn't solving CMO challenges.

martech market growth, year over year. It has effectively stalled — despite 15,000+ products crowding the landscape.

Source: Scott Brinker, 2026 State of Martech

03 / 05

A slow, quiet death — years in the making, no solution in sight.

of the marketing budget now goes to martech — a five-year low, down from 26.6%. CMOs are quietly de-risking away from big fixed platform contracts.

Source: Gartner 2026 CMO Spend Survey

04 / 05

Ruh-roh, Scooby. How do we hit pipeline without big changes?

of CMOs say they lack the budget to deliver their 2026 strategy. Expectations went up. The money didn't.

Source: Gartner, 2025

05 / 05

Tick, tick, boom.

More than the CMO's salary

is what many marketing tech stacks now cost. You think CMO tenure is short? Factor in that the stack they own outspends them.

The pipeline problem is structural

The old playbooks stopped working. Plenty of new CMOs are still running them — with some AI sprinkled on top.

For a decade, buyers had a linear path: they searched, they found, they bought. Marketing's job was to be visible at each stage and move them forward. That path no longer exists.

Journeys fragment

Buyers research through AI assistants, communities, and peer networks all at once. They jump, backtrack, explore sideways. The funnel is gone.

Attention fragments

83% of the purchase journey is self-directed. Marketing sees maybe 20% of it. The rest happens invisible to your systems.

Discovery fragments

Buyers discover vendors inside AI answers, not search results. One mention beats ranking #1. If you're not cited, you don't exist.

To cope, organizations layered on more tools, more data, more specialists. The stack fragmented. The work got harder, not easier. This is not a tool problem — and martech built for a buyer journey that no longer exists is making it worse.

The economics beneath the stack

You're not paying for software. You're paying Platform Tax.

Seat-based pricing scales with access, not outcomes. You pay more as you do more — whether or not performance improves. It leaks out across five tax lines, and most CMOs never add them up.

The License Tax

of features are licensed but never used. You pay for capability you never capture.

The Integration Tax

of teams with 16+ tools spend most of their time fixing problems, not building programs.

The Data Mirage Tax

chase intent signals they don't trust. Only 26% ever convert. Volume without context is noise.

The Platform Tax

of marketing budget wasted on overlapping, disconnected tools. Add it all up below.

Platform Tax Audit

How much is your stack actually costing you?

We've loaded a real-world example. Adjust any field to see your own number — the total recalculates live across all five hidden tax lines.

Total annual Platform Tax burden

Sample figures — enter your numbers below to see your own.

Est. annual relief with DemandScience

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based on average customer outcomes

Relief as % of tax

—

DemandScience average relief rate

Enter zero or a positive number. Percentages are limited to 0–100%. Blank fields are treated as zero after you start editing.

License Tax

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The share of annual platform-license spend attributable to features that are not used.

Total annual platform licenses Unused-feature percentageExample state: 35% of licensed features are unused.

Get my Platform Tax Relief plan No form. No pitch. A 30-minute diagnostic.

What leaders are telling us

Three patterns, showing up in every conversation.

The old playbooks aren't working.

New CMOs get the band back together and exit the people with relationships and domain expertise. The market sees through it. The best customers see through it. And here's the kicker — they're still trying to schedule time with the people who left, because their trust was in the person, not the company.

The fix: rethink the org around the business strategy needed to hit the number. Roles will disappear. But the best thinkers just became twice as valuable.

Tech isn't what it used to be — and the more you have, the scarier next year gets.

Your organization cannot afford to pay hundreds of thousands for access to tools you hope will work. Those seats are dying now. CMOs and CROs want to pay for outcomes, not tech.

The fix: partner with tech or managed services that have skin in the game — and are accountable for the outcome you need.

Brand and content are the most under-invested areas of the business today.

Want better AI search? Content. Want more leads, accounts, engagement? Content. Want to stand out from competitors? Brand. Worried AI will rebuild a version of your company? Brand — and people, and expertise.

The fix: as dollars tighten and AI does more of the research, actually invest in the areas of marketing that help you win.

The arc of B2B marketing operations

Three eras. Each solved its moment. Each created the next constraint.

Era 1 · 2010–2018

Tool Accumulation

"More tools, more data, more content."

Buy software for each problem. Every tool was an incremental win. It worked when capability was the constraint — but growth became its own constraint.

Era 2 · 2018–2024

Stack Optimization

"More AI, more integration, more automation."

Rationalize, integrate, layer in AI. But optimization has limits. Dashboards showed success while pipeline stood still — the data mirage. It created new layers of complexity, not fewer.

Era 3 · 2024–

Intelligent Execution

"What outcomes do we need to deliver?"

Not another platform — a different operating model. Instead of asking what tools you need, build the minimum system required to deliver outcomes, consistently.

Era 3 requires four shifts

Aligned incentives

The provider's margin depends on pipeline efficiency — not seats or usage. Both sides win.

Context over signals

Account structure, history, and buying dynamics — not signal volume — drive precision.

Winnability first

Concentrate resources where you can actually win. Ruthlessly deprioritize the rest.

Execution, not ownership

Consume a managed layer that owns the stack, the execution, and the outcome accountability.

“

The organizations succeeding in Era 3 are not winning because they have more signals. They are winning because they have a system for turning intelligence into decisions and decisions into execution.

Visibility remains important, but visibility alone is no longer sufficient. The competitive advantage comes from identifying the most winnable opportunities and activating against them faster than the market.

Era 3 is already producing results

This isn't theoretical. It's what happens when you stop managing platforms and start executing against outcomes.

ROI from coordinated content & execution programs

shorter sales cycle through outcome-focused acceleration

increase in marketing-influenced pipeline

pipeline ROI from intelligent execution

reduction in cost per qualified account

of total pipeline sourced by marketing

The era of managing software is ending.
The era of operating outcome systems is beginning.

The question is not whether your organization moves to outcome-based, AI-native execution. The question is how quickly — and whether you lead the transition or follow it. The window is open now. It won't stay open forever.

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Studio

Outreach

Events

From Martech Stacks
to Marketing Outcomes

The old playbooks stopped working. Plenty of new CMOs are still running them — with some AI sprinkled on top.

You're not paying for software. You're paying Platform Tax.

How much is your stack actually costing you?

License Tax

Integration Tax

Headcount Tax

Data Mirage Tax

Switching Tax

Three patterns, showing up in every conversation.

The old playbooks aren't working.

Tech isn't what it used to be — and the more you have, the scarier next year gets.

Brand and content are the most under-invested areas of the business today.

Three eras. Each solved its moment. Each created the next constraint.

Tool Accumulation

Stack Optimization

Intelligent Execution

This isn't theoretical. It's what happens when you stop managing platforms and start executing against outcomes.

The era of managing software is ending.
The era of operating outcome systems is beginning.

Ionic

Labs

VID

OUR SOLUTIONS

Content-IQ

AI Visibility

Demand

Advertising

Data

Web

Studio

Outreach

Events

From Martech Stacksto Marketing Outcomes

The cost of the modern martech stack

The old playbooks stopped working. Plenty of new CMOs are still running them — with some AI sprinkled on top.

You're not paying for software. You're paying Platform Tax.

How much is your stack actually costing you?

License Tax

Integration Tax

Headcount Tax

Data Mirage Tax

Switching Tax

Three patterns, showing up in every conversation.

The old playbooks aren't working.

Tech isn't what it used to be — and the more you have, the scarier next year gets.

Brand and content are the most under-invested areas of the business today.

Three eras. Each solved its moment. Each created the next constraint.

Tool Accumulation

Stack Optimization

Intelligent Execution

This isn't theoretical. It's what happens when you stop managing platforms and start executing against outcomes.

The era of managing software is ending.The era of operating outcome systems is beginning.

From Martech Stacks
to Marketing Outcomes

The era of managing software is ending.
The era of operating outcome systems is beginning.