Communications measurement is already shaping business decisions.
According to 10Fold’s 2026 Integrated Communications Survey, between 81% and 88% of B2B marketing decision-makers say measurement sometimes or very often influences strategy or budget decisions across communications channels. Paid social is highest at 88%, followed by paid media and digital at 87%, owned content at 85%, earned media and earned content at 84%, and organic social at 81%.
Yet only 49% of these same decision makers are very confident in the accuracy and completeness of their communications reporting.
That creates a consequential gap. Organizations are using communications measurement to direct investment while many teams still have limited confidence in the data behind those decisions.
Key Takeaways
- Communications teams have access to more data and reporting platforms than ever.
- Only 35% of respondents in 10Fold’s 2026 research have fully integrated reporting across earned media, paid social, content and digital.
- Measurement maturity does not necessarily translate into confidence in the data.
- Company revenue, industry and geography influence which communications metrics executives find most credible.
- Executive confidence increases when communications reporting connects visibility and engagement to business outcomes.
- A stronger measurement model follows a chain of evidence from visibility to trust, action and business growth.
- Communications teams can close the confidence gap by aligning KPIs, integrating data sources, distinguishing attribution from correlation and reporting insights frequently enough to improve performance.
Communications Does Not Have a Data Shortage
More than half of communications and marketing organizations already have access to substantial reporting infrastructure.
In the 10Fold research, website analytics and social analytics are each included in reporting by 67% of respondents. CRM data is used by 63%, paid media platforms by 60%, and marketing automation, media monitoring and AI or large language model visibility platforms by 58%.
Only 35% of respondents have fully integrated reporting across all channels, including earned media, paid social, content and digital. Communications teams need stronger connections between their reporting systems, business systems, teams and agencies. Those connections help organizations align measurement with desired business outcomes.
The International Association for the Measurement and Evaluation of Communication reached a similar conclusion in its 2026 analysis of PR measurement. Drawing from a survey of more than 1,100 communications professionals, AMEC reported that 35% consider aligning PR metrics with business KPIs a top challenge. It identified lack of alignment, rather than lack of data, as the primary structural barrier to better measurement.
When communications, marketing, sales and leadership work from different definitions of success, even a sophisticated reporting stack can produce an unconvincing business story.
What Is the Difference Between Measurement Maturity and Executive Confidence?
10Fold’s industry analysis shows why access to advanced tools should not be confused with measurement maturity.
Application development, cloud and infrastructure companies have one of the strongest reporting stacks in the study. Seventy-four percent use website analytics, social analytics and AI or LLM visibility platforms as part of their measurement equation. Sixty-four percent are very confident in their data, but only 34% have fully integrated reporting. The manual process of looking at multiple applications, or worse, some static documents makes the full picture a bit opaque.
AI and data companies are actively measuring modern discoverability signals. Sixty-one percent measure AI search visibility, and 63% measure AI referral traffic. However, only 43% are very confident in their communications data.
Cybersecurity companies lead in measuring SEO impact connected to communications, at 74%, and report strong adoption of AI referral measurement. Yet only 37% are very confident in the accuracy and completeness of their data sets.
These companies may have the right metrics, but they do not always have the integration, attribution model or executive agreement required to turn those metrics into credible business proof.
How Does Company Stage Affect Communications Measurement?
Companies with less than $100 million in annual revenue tend to focus on practical performance signals. They measure website traffic connected to communications at 51%, AI visibility at 48% and AI referral traffic at 47%.
Their challenge is the connective tissue. Only 29% have fully integrated reporting, and less than half, 42%, are very confident in the quality of their data. Smaller companies do not necessarily need a more complicated dashboard. They need a limited set of metrics that can be tracked consistently and connected to near-term business priorities.
Companies with revenue from $101 million to $999.9 million show significant experimentation and momentum. Sixty-three percent track AI referral traffic, and more than half, 54%, are very confident in their data. Yet only 21% can consistently connect communications to business outcomes that the CEO and board trust.
Enterprise companies have the strongest reporting infrastructure. Among organizations with revenue of $1 billion or more, 49% have fully integrated reporting and 55% use multi-touch attribution. But only 56% are very confident in their data.
More resources can support stronger reporting systems. Executive reporting also requires a clear and defensible interpretation of the data, particularly when reporting to the board and CEO.
This gap between investment and readiness extends beyond communications. Gartner’s 2026 CMO Spend Survey found that CMOs are allocating an average of 15.3% of their marketing budgets to AI initiatives, but only 30% report mature or fully developed AI readiness. Gartner cautioned that organizations risk investing in technology faster than they build the data foundations, processes, governance and talent needed to produce measurable impact.
The parallel with communications measurement is direct. Tools can accelerate data collection. They cannot create alignment or credibility on their own.
How Industry Shapes Executive Confidence in Communications Metrics
The 10Fold research found that revenue impact is the communications outcome most trusted by CEOs and boards overall. But industry and geography affect which evidence leadership finds most credible.
Enterprise software executives show greater interest in revenue impact. Cybersecurity executives place comparatively greater trust in AI visibility and AI-generated citations. France shows particularly strong executive trust in revenue impact, while Germany and the UK are more aggressive in measuring AI discovery and referral signals.
This means organizations cannot build executive credibility by adopting someone else’s measurement methodology. Communications leaders must first determine what their own CEOs, boards, finance leaders and sales teams consider persuasive evidence.
Why Communications Reporting Needs a Chain of Evidence
Channel reporting explains what happened within media, social, content or digital programs. Business-impact reporting shows how those activities work together to create business impact.
A stronger model follows a chain of evidence:
- Visibility: Did the market encounter the company and its ideas?
- Trust: Did credible media, analysts, experts, customers or AI answer engines validate the company?
- Action: Did the audience visit the website, engage with content, submit a form, register for an event or request more information?
- Growth: Did those actions contribute to leads, sales conversations, pipeline, revenue or another strategic objective?
Not every communications activity can be attributed directly to revenue. That should not lead teams to overstate causation or abandon measurement. It should encourage them to distinguish among direct attribution, multi-touch attribution, correlation and directional evidence.
The objective is to make the strongest claim the data can credibly support.
Four Ways to Increase Confidence in Communications Measurement
1. Align on business-focused KPIs
Agree on a limited set of business-aligned KPIs before the program begins. Leadership, marketing, sales and agency partners should share the same definition of success.
2. Connect communications and business data
Connect data from communications, web, social, CRM, marketing automation and AI visibility systems. Integration should help explain audience movement, not simply place more numbers on one screen.
3. Distinguish attribution from correlation
Label the type of evidence being presented. Direct attribution, correlation and informed interpretation are all useful when clearly distinguished.
4. Report frequently enough to improve performance
Report often enough to improve performance. Accountability should not begin with a static recap several weeks after a reporting period has ended.
Teams need timely visibility into what is working, what is not and where the strategy should change. Real-time access to insights is critical with dynamic industries.
The Future of Communications Measurement Is Business Impact
Communications teams have access to extensive data. Their next opportunity is turning fragmented signals into a business-impact narrative that leadership can confidently use.
Effective communications measurement connects visibility to trust, trust to action and action to growth. This chain of evidence helps organizations show how communications contributes to business performance.
Building that connection requires integrated reporting, clear business-aligned KPIs and measurement frameworks that reflect how individual organizations make decisions.
The goal of communications measurement is to give leadership evidence it can understand, trust and use.
The findings cited from 10Fold are based on its 2026 Integrated Communications Survey and the companion vertical, geography and company-revenue analyses.