Marketing attribution
MarTech is your source for marketing attribution content. You’ll find a variety of up-to-date and authoritative resources, including the latest news, tactic-rich tutorials, and the latest data to help you work smarter and make better decisions.
What you read here is written by our experienced in-house team of editors and research professionals, and subject matter experts from leading brands and agencies.
Why we care:
In order to optimize current campaigns, and plan future ones, marketers need to know which touchpoints are effective in driving conversions. Given the complexity of today’s customer journey across digital and non-digital channels, this is an enormous challenge. Any marketing attribution answers will have data at its core.
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Branded search is becoming a less reliable proxy for brand demand
Consumers aren't searching for your brand less. They're making decisions before they ever perform a branded search.
How to run a CTV incrementality test (and why most fail)
Build reliable control groups, choose meaningful success metrics, and generate results you can defend in budget conversations.
Open source made MMM cheaper, not easier
Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers to success.
HubSpot’s Warmly deal points to the next generation of CRM
HubSpot's acquisition shows CRM platforms are evolving from customer databases into AI systems that identify buying intent and take action.
Why marketers need both MMM & MTA in 2026
As tracking breaks down, combining top-down modeling with tactical attribution is becoming essential for budget decisions.
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.
Why marketing measurement needs triangulation
Effective measurement depends on connecting signals across MMM, attribution, and incrementality instead of forcing a single source of truth.
How to prove marketing impact when attribution goes dark
As referral data disappears, this framework helps you measure marketing momentum without relying on perfect tracking.
The 4 marketing metrics that matter in the boardroom
CMOs can lose credibility when they rely on analytics theater. Focus board conversations on the metrics tied to revenue and profitability.
Last-click attribution rewards the wrong work in an AI-first world
AI is making marketing influence harder to track. Here’s how to avoid misleading attribution data and make better investment decisions.
Digital video ad spend surges as AI and targeting reshape strategy
Digital video now more than 60% of TV and video spend, so advertisers are prioritizing AI, precision targeting, and measurable outcomes.
Why CMOs struggle and how aligning with CFOs changes everything
Marketing drives value, but proving it is the challenge. Here’s how CMOs can align with finance, improve attribution and earn lasting credibility.
Why confidence, not performance, is shaping media spend
Marketing budgets are increasingly driven by what teams can defend, not just what performs, concentrating spend in a small set of trusted channels.
When attribution stands in for accountability
Attribution informs optimization, but it can’t absorb risk or set priorities. Here’s why marketers must define ownership to protect credibility.
Google launches no-code Scenario Planner built on Meridian MMM
Google’s Scenario Planner gives you a no-code way to turn Marketing Mix Model insights into budget and ROI decisions.
If your measurement strategy delays decisions, it’s broken
When attribution, incrementality and MMM disagree, teams freeze. Growth comes from acting with confidence, stacking small gains and validating impact in the P&L.
AI could unlock $32B for marketers, if we fix measurement first
When channels can’t be measured, they get underfunded. Bias in today’s models limits growth. Here's why better foundations matter more than new tools.
How to demonstrate marketing ROI in a way the C-suite trusts
Executives want business impact, not dashboards. Present marketing ROI through revenue influence, efficiency trends and predictability.
5 ways to improve marketing measurement in 2026
Can your measurement systems stand up to leadership’s toughest questions about impact, incrementality and decision-making?
3 incrementality testing mistakes — and how to avoid them
Incrementality testing only works if it drives decisions. Here’s where teams go wrong and how to use tests to guide spend and optimization.
Marketing mix modeling has a usage problem, not a tech problem
Marketing mix models often fail because insights stop at analysis. Here's what it takes to turn MMM into a decision-driving capability.
Five truths you need to know about martech, and what to do about them
A candid roundtable with martech leaders revealed five uncomfortable truths holding brands back — and the practical steps needed to finally move past them.
Winning executive trust in the move beyond marketing attribution
Moving past attribution can feel risky, but staying stuck is worse. Reframe marketing measurement to reflect real buying behavior and business impact.
Why server-side tracking is making a comeback in the privacy-first era
As ad blockers and privacy laws disrupt client-side tracking, marketers are shifting to server-side methods for cleaner, more reliable analytics.
Marketers say their trust in measurement is stalled
More data doesn’t mean more effective measurement, as multiplying channels and touchpoints lead to more chaos than answers.
Why MMM makes marketers nervous — and why you should use it anyway
Forget the hype and the horror stories. Here’s how to use MMM the right way without turning it into another attribution debate.
How to set up GA4 cross-domain tracking for global and multi-brand sites
Fragmented sessions distort insights. GA4 cross-domain tracking unifies data across brands and regions so marketers, analysts and leaders see the full journey.
Stop making cost per conversion your KPI — here’s what to measure instead
Chasing cost per conversion or ROAS as your KPI leads to underspend. See why conversion volume is a smarter way to scale profitably.
How Amazon Ads enables full funnel measurement
With new metrics like MTA, LTS and conversion path reporting, Amazon Ads gives marketers deeper insight into performance across the funnel.
What is marketing attribution? Models and best practices
Marketing attribution shows what drives conversions. Learn how different models work, how to choose the right one, and how to optimize your ad spend.
Why impression-based advertising will redefine search and CTV
Microsoft Ads is moving beyond clicks with impressions-based remarketing. Here’s what this shift means for channels, budgets and strategy.
Your quick guide to marketing attribution models
Still crediting only the last click? That oversimplifies your funnel. Explore better models to see what’s really working across your channels.
How customer analytics closes the gaps in performance measurement
Go beyond channel metrics. Customer analytics highlights retention, LTV and incremental demand to guide smarter marketing decisions.
4 steps to kickstart incrementality without overcomplicating it
Spot the attribution traps that distort your results, run a simple incrementality test and start investing in what truly drives growth.
How to turn marketing attribution from a black box into a growth engine
Out-of-the-box attribution models miss critical customer journey data. Here's how a full-cycle tracking approach reveals true marketing influence.
If you want better outcomes, stop relying on last-touch attribution
The wrong attribution model doesn’t just mislead. It risks your investment and clouds what really works.
If you only invest in what converts, you’re undervaluing what works
Last-touch metrics don’t tell the full story. Uncover and quantify the impact of upper-funnel marketing to drive smarter decisions.
Retail media networks: What you need to know
RMNs are a great opportunity for marketers and ad publishers. However, both groups must first resolve significant technological issues.
Data clean rooms: What you need to know
Data clean rooms are a great solution to privacy and data sharing issues -- if you find the right one.
Why causal AI works when other forecasting models fail
Causal AI adapts in real time, learning from every shift. Here’s why it outperforms static models when the market won’t sit still.