Key Takeaways
- 61% of employees reported they could be more productive working from home at least some of the time (hybrid/remote productivity sentiment).
- 36% of employees changed where they lived or planned to move because of remote work (location flexibility).
- 1.8 days per week is the average amount of time employees expect to work remotely post-pandemic (expected remote days).
- 60% of CFOs said they had accelerating digital transformation programs because of COVID-19 (digital acceleration).
- 58% of marketers say they are increasing investments in customer data and analytics (data investments).
- 52% of marketers plan to increase spending on marketing technology in the next 12 months (MarTech spend intent).
- 36% of marketing teams are fully distributed/remotely based (remote team structure).
- 73% of organizations increased their use of marketing automation during the COVID-19 pandemic (automation increase).
- Personalized calls-to-action have a 202% improvement in conversion (personalization performance).
- Marketers using marketing automation reported 14.5% lower marketing overhead and 10% higher conversion rates (cost and conversion).
- 40% of marketers say attribution is a top analytics priority (measurement challenge priority).
- Remote/hybrid workers are 2x more likely to use video conferencing tools daily (remote work tool behavior).
- Trello has 50M+ users as of 2020 (project management adoption).
- In 2021, 71% of organizations planned to increase spending on remote work tools (IT spend intent).
Hybrid and remote work is boosting demand and marketing analytics investment, with productivity and focus challenges.
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Work Patterns
Work Patterns Interpretation
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Industry Trends
Industry Trends Interpretation
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Workforce Distribution
Workforce Distribution Interpretation
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Performance Metrics
Performance Metrics Interpretation
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Technology Adoption
Technology Adoption Interpretation
How We Rate Confidence
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.
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
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
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
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Samuel Norberg. (2026, February 13). Remote And Hybrid Work In The Digital Marketing Industry Statistics. Gitnux. https://gitnux.org/remote-and-hybrid-work-in-the-digital-marketing-industry-statistics
Samuel Norberg. "Remote And Hybrid Work In The Digital Marketing Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/remote-and-hybrid-work-in-the-digital-marketing-industry-statistics.
Samuel Norberg. 2026. "Remote And Hybrid Work In The Digital Marketing Industry Statistics." Gitnux. https://gitnux.org/remote-and-hybrid-work-in-the-digital-marketing-industry-statistics.
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