Data-Driven Marketing Statistics

GITNUXREPORT 2026

Data-Driven Marketing Statistics

Marketing analytics is moving from “nice to have” to a performance lever, with 67% of CMOs expecting increased investment and 77% of marketers already using or planning CDPs, while conversion can slip by up to 27% from a single second of mobile delay. This page connects the dots between measurement, automation, personalization, and outcomes like above average profitability so you can see which tactics actually hold up under the numbers.

30 statistics30 sources5 sections7 min readUpdated 7 days ago

Key Statistics

Statistic 1

67% of CMOs expect their organizations to invest in marketing analytics, per the 2024 Gartner CMO Spend Survey (reported by Gartner).

Statistic 2

64% of marketers said improving measurement and reporting is a top priority, according to the 2023/2024 ANA (Association of National Advertisers) research on marketing measurement.

Statistic 3

51% of marketers planned to increase their use of marketing automation in 2024, according to a 2024 report by HubSpot (State of Marketing).

Statistic 4

Data-driven businesses are 3.2x more likely to be top performers in their market, according to McKinsey’s 2016 analysis of organizations’ data usage and performance.

Statistic 5

75% of marketers say they consider AI-driven insights/analytics important to marketing strategy, per a 2023 survey by IBM and Morning Consult on AI adoption.

Statistic 6

US adults spent 16.3 hours per week on average online in 2024 (time spent on the internet), increasing the amount of behavioral data available for data-driven marketing.

Statistic 7

77% of marketers say they use customer data platforms (CDPs) or plan to, according to a 2024 CDP Institute survey (as summarized in the CDP Institute report).

Statistic 8

The global marketing automation software market is expected to reach $7.0 billion by 2028, up from $3.2 billion in 2022 (MarketsandMarkets forecast).

Statistic 9

The customer data platform market is projected to reach $6.1 billion by 2029, according to a 2024 forecast by Global Industry Analysts (GIA).

Statistic 10

The global generative AI in marketing market is forecast to reach $3.3 billion in 2024, per a 2024 analysis by MarketsandMarkets.

Statistic 11

The global big data analytics market is projected to grow to $684.5 billion by 2030, driven in part by marketing analytics use cases (Fortune Business Insights forecast).

Statistic 12

The global predictive analytics market is forecast to reach $37.6 billion by 2030 (Grand View Research forecast).

Statistic 13

The worldwide customer experience management market is forecast to reach $24.4 billion by 2028, reflecting measurement/optimization demand (IDC forecast published in industry summaries).

Statistic 14

70% of marketers report that data-driven personalization increases customer engagement, based on Segment/Twilio’s published survey results (2023).

Statistic 15

Companies using marketing analytics are 5x more likely to achieve above-average profitability than those that don’t, per a 2019 study by Dresner Advisory Services (as published by Gartner/Dresner).

Statistic 16

A 1-second delay in mobile page load time can reduce conversions by up to 27% (Google research reported by Think with Google, 2017).

Statistic 17

The average conversion rate on e-commerce sites is about 1.86% (Shopify / industry benchmarking published by Shopify and partners, 2023/2024).

Statistic 18

In a 2020 meta-analysis, personalized content based on behavioral targeting increased engagement by 6–8% on average compared with non-personalized controls.

Statistic 19

Data from the 2023 Gartner Marketing Technology Survey indicates that 85% of marketing organizations use some form of marketing technology to execute campaigns (Gartner survey results in press coverage).

Statistic 20

64% of U.S. adults use an email address for online activities (statista based on Pew Research Center digital news/technology surveys; as reported in a Pew statistic compilation).

Statistic 21

55% of marketers are using CDP technology or are planning to use it within 12 months (G2 marketing data, 2024).

Statistic 22

In 2023, 62% of B2B marketers used marketing automation platforms (Demand Gen Report / public findings).

Statistic 23

58% of marketers reported they use journey orchestration tools (Mulesoft/industry survey reported by vendor research).

Statistic 24

63% of marketers report using data to personalize customer experiences, per a 2024 survey by Experian.

Statistic 25

94% of marketers say customer data is important for improving targeting and personalization, according to a 2023 survey by Informatica.

Statistic 26

In 2023, 59% of businesses reported using marketing automation tools to manage customer engagement, according to a 2023 SMB marketing survey by Constant Contact.

Statistic 27

Marketing measurement and attribution software spending is forecast to grow to $8.7 billion worldwide by 2027 (MarketsandMarkets).

Statistic 28

A 2024 Gartner estimate projects that AI use in customer service and marketing could reduce marketing costs by 10–20% (Gartner range as published in press summary).

Statistic 29

The average global cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach Report 2023).

Statistic 30

A/B testing is reported to increase conversion rates by 49% on average across organizations that routinely run experiments (VWO benchmark).

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01Primary Source Collection

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03AI-Powered Verification

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With marketing analytics investment expectations rising to 67% of CMOs, the real question is whether teams can measure their way to better growth or get stuck in reporting noise. At the same time, conversion performance can swing dramatically, since a 1 second delay in mobile page load time can cut conversions by up to 27%. This post connects the dots across measurement, automation, CDPs, and personalization so you can see where data-driven decisions actually pay off.

Key Takeaways

  • 67% of CMOs expect their organizations to invest in marketing analytics, per the 2024 Gartner CMO Spend Survey (reported by Gartner).
  • 64% of marketers said improving measurement and reporting is a top priority, according to the 2023/2024 ANA (Association of National Advertisers) research on marketing measurement.
  • 51% of marketers planned to increase their use of marketing automation in 2024, according to a 2024 report by HubSpot (State of Marketing).
  • 77% of marketers say they use customer data platforms (CDPs) or plan to, according to a 2024 CDP Institute survey (as summarized in the CDP Institute report).
  • The global marketing automation software market is expected to reach $7.0 billion by 2028, up from $3.2 billion in 2022 (MarketsandMarkets forecast).
  • The customer data platform market is projected to reach $6.1 billion by 2029, according to a 2024 forecast by Global Industry Analysts (GIA).
  • 70% of marketers report that data-driven personalization increases customer engagement, based on Segment/Twilio’s published survey results (2023).
  • Companies using marketing analytics are 5x more likely to achieve above-average profitability than those that don’t, per a 2019 study by Dresner Advisory Services (as published by Gartner/Dresner).
  • A 1-second delay in mobile page load time can reduce conversions by up to 27% (Google research reported by Think with Google, 2017).
  • Data from the 2023 Gartner Marketing Technology Survey indicates that 85% of marketing organizations use some form of marketing technology to execute campaigns (Gartner survey results in press coverage).
  • 64% of U.S. adults use an email address for online activities (statista based on Pew Research Center digital news/technology surveys; as reported in a Pew statistic compilation).
  • 55% of marketers are using CDP technology or are planning to use it within 12 months (G2 marketing data, 2024).
  • Marketing measurement and attribution software spending is forecast to grow to $8.7 billion worldwide by 2027 (MarketsandMarkets).
  • A 2024 Gartner estimate projects that AI use in customer service and marketing could reduce marketing costs by 10–20% (Gartner range as published in press summary).
  • The average global cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach Report 2023).

Most marketers are investing in analytics, automation, and customer data to drive personalization and improve profitability.

Market Size

177% of marketers say they use customer data platforms (CDPs) or plan to, according to a 2024 CDP Institute survey (as summarized in the CDP Institute report).[7]
Verified
2The global marketing automation software market is expected to reach $7.0 billion by 2028, up from $3.2 billion in 2022 (MarketsandMarkets forecast).[8]
Verified
3The customer data platform market is projected to reach $6.1 billion by 2029, according to a 2024 forecast by Global Industry Analysts (GIA).[9]
Verified
4The global generative AI in marketing market is forecast to reach $3.3 billion in 2024, per a 2024 analysis by MarketsandMarkets.[10]
Verified
5The global big data analytics market is projected to grow to $684.5 billion by 2030, driven in part by marketing analytics use cases (Fortune Business Insights forecast).[11]
Verified
6The global predictive analytics market is forecast to reach $37.6 billion by 2030 (Grand View Research forecast).[12]
Verified
7The worldwide customer experience management market is forecast to reach $24.4 billion by 2028, reflecting measurement/optimization demand (IDC forecast published in industry summaries).[13]
Verified

Market Size Interpretation

Across the market size landscape of data-driven marketing, investments are scaling rapidly as marketing automation grows from $3.2 billion in 2022 to a projected $7.0 billion by 2028 and the CDP market is expected to reach $6.1 billion by 2029, underscoring how quickly demand for customer data and measurement is expanding.

Performance Metrics

170% of marketers report that data-driven personalization increases customer engagement, based on Segment/Twilio’s published survey results (2023).[14]
Single source
2Companies using marketing analytics are 5x more likely to achieve above-average profitability than those that don’t, per a 2019 study by Dresner Advisory Services (as published by Gartner/Dresner).[15]
Single source
3A 1-second delay in mobile page load time can reduce conversions by up to 27% (Google research reported by Think with Google, 2017).[16]
Directional
4The average conversion rate on e-commerce sites is about 1.86% (Shopify / industry benchmarking published by Shopify and partners, 2023/2024).[17]
Directional
5In a 2020 meta-analysis, personalized content based on behavioral targeting increased engagement by 6–8% on average compared with non-personalized controls.[18]
Verified

Performance Metrics Interpretation

Performance metrics show a clear payoff for data-driven marketing because personalization can lift engagement by 6–8% on average and increase customer engagement for 70% of marketers, while analytics-driven companies are 5 times more likely to reach above-average profitability and even a 1 second mobile page-load delay can cut conversions by up to 27%.

User Adoption

1Data from the 2023 Gartner Marketing Technology Survey indicates that 85% of marketing organizations use some form of marketing technology to execute campaigns (Gartner survey results in press coverage).[19]
Verified
264% of U.S. adults use an email address for online activities (statista based on Pew Research Center digital news/technology surveys; as reported in a Pew statistic compilation).[20]
Directional
355% of marketers are using CDP technology or are planning to use it within 12 months (G2 marketing data, 2024).[21]
Verified
4In 2023, 62% of B2B marketers used marketing automation platforms (Demand Gen Report / public findings).[22]
Verified
558% of marketers reported they use journey orchestration tools (Mulesoft/industry survey reported by vendor research).[23]
Verified
663% of marketers report using data to personalize customer experiences, per a 2024 survey by Experian.[24]
Verified
794% of marketers say customer data is important for improving targeting and personalization, according to a 2023 survey by Informatica.[25]
Verified
8In 2023, 59% of businesses reported using marketing automation tools to manage customer engagement, according to a 2023 SMB marketing survey by Constant Contact.[26]
Single source

User Adoption Interpretation

User Adoption is strong and accelerating, with 85% of marketing organizations already using marketing technology and more teams moving toward data and engagement tools, such as 55% using CDPs and 59% using marketing automation to manage customer engagement.

Cost Analysis

1Marketing measurement and attribution software spending is forecast to grow to $8.7 billion worldwide by 2027 (MarketsandMarkets).[27]
Verified
2A 2024 Gartner estimate projects that AI use in customer service and marketing could reduce marketing costs by 10–20% (Gartner range as published in press summary).[28]
Single source
3The average global cost of a data breach was $4.45 million in 2023 (IBM Cost of a Data Breach Report 2023).[29]
Verified
4A/B testing is reported to increase conversion rates by 49% on average across organizations that routinely run experiments (VWO benchmark).[30]
Single source

Cost Analysis Interpretation

For a Cost Analysis perspective, the fastest-growing spend area and the biggest efficiency opportunity point in the same direction as marketing measurement and attribution software climbs to $8.7 billion by 2027 and AI adoption is expected to cut marketing costs by 10–20%, while organizations also need to factor in the $4.45 million average cost of a 2023 data breach.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

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APA
Alexander Schmidt. (2026, February 13). Data-Driven Marketing Statistics. Gitnux. https://gitnux.org/data-driven-marketing-statistics
MLA
Alexander Schmidt. "Data-Driven Marketing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-driven-marketing-statistics.
Chicago
Alexander Schmidt. 2026. "Data-Driven Marketing Statistics." Gitnux. https://gitnux.org/data-driven-marketing-statistics.

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