Marketing operations (MOps)
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When best-of-breed stacks become too complex to manage
Custom integrations can unlock flexibility, but growing maintenance costs and data issues can quickly outweigh the benefits.
When AI runs the workflows, what happens to MOps?
As AI automates workflows, scoring, and orchestration, MOps shifts from system management to business impact.
Advertisers may finally see who really touches their bid requests
IAB Tech Lab's proposed SupplyChain v1.1 update could give advertisers a clearer view of every company that touches a programmatic bid request.
The real martech problem is not technology
A new survey suggests operational bottlenecks, not software limitations, are preventing marketers from acting on insights.
How to sustain creative testing without adding headcount
Build a repeatable system for creative experimentation using pre-vetted freelancers, modular briefs, and automated workflows.
Consumers are ready for AI, but many brands are not
New research shows buyers are ready for AI-powered experiences, while many organizations still struggle to deliver them.
Marketing measurement is breaking under its own complexity
More tools, more channels, and more data have left many marketers struggling to connect activity to outcomes.
Salesforce pushes agentic marketing from planning to pipeline
Salesforce introduced new marketing agents that can qualify leads, create content, launch campaigns, and optimize performance across channels.
Why ‘it’s just SEO’ could cost the industry billions
Treating generative search as business as usual risks shrinking the very market search marketers should be expanding.
How to balance data control and real-time personalization
Warehouse native CDPs promise cleaner data, but marketers need new strategies to deliver fast, relevant experiences.
Consumers want AI ads with a human touch
New research finds consumers accept AI in marketing when it adds value, but many reject ads that feel generic, intrusive, or emotionally hollow.
Risks to look out for when using vibe coding to replace SaaS
Vibe coding can replace SaaS tools fast, but risks in security, integration and maintenance can quickly outweigh the savings.
Martech 2026: AI drives a major industry reset
Flat growth masks a deeper shift as AI moves to the center of value creation and forces a rethink of how martech stacks are built.
How RevOps teams should adapt as martech and adtech converge
As revenue tech stacks merge, B2B teams need new structures, shared metrics, and cross-functional pods to break silos and drive growth.
Your marketing automation isn’t broken, it’s overloaded
As workflows pile up, automation systems become harder to trust, slowing campaigns and creating inconsistent results.
AI moved forward, marketing did not
Marketers were early adopters of AI, but while it has evolved most teams are still stuck using it like a smarter autocomplete.
Salesforce launches Agentforce Operations to automate back-office work
New AI agents aim to cut manual tasks and speed up workflows across disconnected systems in the back office.
Things are not as bad as you think in marketing
From risk aversion to missed opportunities, negativity bias impacts marketing outcomes. Correct it with data, AI, and diverse perspectives.
Marketing artificial intelligence (AI)
Vibe coding is hollowing out the martech stack fast
Marketers are replacing SaaS tools with AI-built alternatives, driving churn and shifting where real value in martech now lives.
Warehouse-native CDPs vs standalone platforms explained
Choosing between your data warehouse and a packaged CDP depends on control, speed and operational complexity.
3 KPIs that prove marketing ops drives revenue impact
The right metrics connect marketing operations to pipeline, efficiency and financial outcomes the C-suite recognizes.
Marketing artificial intelligence (AI)
Adobe and Canva releases push AI deeper into creative workflows
Adobe and Canva are rolling out AI tools that turn design into conversation, intensifying competition and reshaping how marketers create.
3 steps to guarantee multishoring success
Prepare your systems for multishore scale with three audits covering workflows, technology and stakeholder alignment.
Are you buying simplicity or dependency in CreativeOps?
What looks unified in CreativeOps can hide layered dependencies that affect cost, control and performance as your operation scales.
A framework for auditing generative AI outputs pre-launch
A structured review process helps teams enforce brand voice and reduce legal risk before AI-generated content reaches market.
Marketing artificial intelligence (AI)
How to make AI work with context instead of prompts
AI struggles in enterprises not because of prompts, but because it lacks context. Here's how to build systems that fix that.
Structuring B2B marketing across 4 key resources
From fractional CMOs to agencies, learn when to use each resource and how to align them for consistency, scale and measurable impact.
Marketing artificial intelligence (AI)
AI and empathy define the next era of marketing systems
The real opportunity with AI is not scale alone, but designing experiences that reduce friction and support both customers and teams.
Martech stacks are holding back sales and marketing teams
Technology is the biggest barrier to alignment, and most teams admit their stack still isn’t built to support shared goals or seamless execution.
The real impact of AI on budgets, stacks and teams
AI is replacing tools and reshaping budgets, but it’s also expanding stacks and increasing headcount.
Salesforce turns Slack into the front end for enterprise AI
New Slackbot capabilities hope to connect conversations, data and actions, making Slack the interface where AI-driven work actually gets done.
The hidden tradeoffs in moving to a composable martech stack
Best-of-breed stacks promise agility, but the real impact on speed and cost depends on how well teams manage integration, data and operational complexity.
Marketing artificial intelligence (AI)
Athena signals Zeta’s push into AI-driven marketing systems
Zeta is betting that tighter integration of data and AI will reduce the gap between insight and action.
How to prove ROI from AI workflow integration in B2B marketing
Embedding AI into marketing workflows promises big efficiency and performance gains — but you’ll need the right ROI models to justify the investment.
Why martech consolidation business cases fall short
Most ROI models ignore adoption gaps, integration work and renewal pricing — leaving teams exposed after the deal is signed.
AI is repricing the marketing stack, not collapsing it
AI is making coordination tools easier to copy, putting pricing pressure on parts of the marketing stack built on convenience rather than risk.
How shaping AI buying can boost B2B CMO strategic influence
As AI increasingly evaluates vendors before buyers do, CMOs who control structured data, proof and category language can influence who makes the shortlist.
Marketing artificial intelligence (AI)
Why most marketers are still only experimenting with AI
Executives are pushing hard for AI adoption, but most marketing teams lack the needed strategy, training and data.
How OSI could change evaluating and selecting martech vendors
The open semantic interchange framework may push vendors to prioritize interoperability over lock-in, reshaping how marketers build and buy their stacks.
Why we’re measuring creative ROI too narrowly
Throughput metrics track efficiency but miss creative’s broader business impact. Measure creative’s revenue influence, brand equity and cost avoidance.