Key Takeaways
- 67% of consumers say they will spend more with a company that provides better customer experience, linking engagement to spend intent
- 24% of customers will become disengaged after one bad experience, indicating rapid engagement risk from service failures
- 80% of shoppers say they are more likely to purchase from brands that provide personalized experiences (2019 survey benchmark)
- 51% of consumers say they expect consistent experiences across devices (2016–2017 research benchmark often used for omnichannel expectations)
- 73% of customers are more likely to recommend a brand after a positive experience with it (2019 customer experience benchmark)
- 41% of customers prefer messaging to contact centers (UK consumer preference benchmark from 2020 CX research)
- In 2023, the average email click rate for all industries was 2.69% (Mailchimp benchmark report)
- In 2023, average social media engagement rate across industries was 0.35% (Sprout Social “Index” 2023)
- 3.2% of mobile apps are deleted within the first day due to poor engagement (mobile app retention benchmark from industry study)
- 60% of B2B buyers say they use at least three channels during the buying process (Gartner-published benchmark, but cited via a non-Gartner host)
- In 2022, 62% of consumers reported using social media at least once a week (Pew Research Center, 2022)
- In 2024, 40% of US adults use a social networking site (Pew Research Center, 2024)
- US adults who shop online share: 83% of US adults bought online at least once in 2023 (Pew Research Center, 2023)
- In 2024, 68% of US adults use a smartphone (Pew Research Center, 2024)
- The global customer experience management (CXM) software market was valued at $10.9 billion in 2023 (Verified Market Research forecast publication)
Better customer experience drives spending, loyalty, and recommendations while failures rapidly disengage customers.
Related reading
Engagement Outcomes
Engagement Outcomes Interpretation
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Customer Sentiment
Customer Sentiment Interpretation
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Engagement Performance
Engagement Performance Interpretation
Industry Trends
Industry Trends Interpretation
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Customer Adoption
Customer Adoption Interpretation
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Market Size
Market Size 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.
Megan Gallagher. (2026, February 13). Engagement Statistics. Gitnux. https://gitnux.org/engagement-statistics
Megan Gallagher. "Engagement Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/engagement-statistics.
Megan Gallagher. 2026. "Engagement Statistics." Gitnux. https://gitnux.org/engagement-statistics.
References
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- 2gartner.com/en/newsroom/press-releases/2022-09-12-gartner-study-shows-24-of-customers-become-disengaged-after-one-bad-experience
- 3salesforce.com/resources/research-reports/state-of-the-connected-customer/
- 4thinkwithgoogle.com/intl/en-150/articles/consumers-choose-journeys-need-consistency-across-devices/
- 5hbr.org/resources/pdfs/comm/ice/ice-2019.pdf
- 6forrester.com/report/Customer+Experience+Index+2020/-/E-RES159420
- 7ofcom.org.uk/__data/assets/pdf_file/0029/205015/online-messaging-customer-service.pdf
- 12ofcom.org.uk/research-and-data/multi-device-use
- 8mailchimp.com/resources/email-marketing-benchmarks/
- 9sproutsocial.com/insights/instagram-engagement-rate/
- 10socialinsider.io/blog/linkedin-engagement-rate/
- 11backlinko.com/video-marketing-stats
- 13businessofapps.com/data/mobile-app-retention-statistics/
- 14cdomagazine.com/wp-content/uploads/2019/01/3ch-blog.pdf
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- 16pewresearch.org/internet/fact-sheet/social-media/
- 17pewresearch.org/short-reads/2023/09/29/theres-more-online-shopping-but-it-is-not-universal/
- 18pewresearch.org/internet/fact-sheet/mobile/
- 19pewresearch.org/internet/2022/05/04/digital-payments/
- 20verifiedmarketresearch.com/product/customer-experience-management-market/
- 21marketsandmarkets.com/Market-Reports/crm-software-market-1284.html
- 23marketsandmarkets.com/Market-Reports/unified-communications-market-
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- 22grandviewresearch.com/industry-analysis/marketing-automation-software-market
- 24fortunebusinessinsights.com/conversational-ai-market-102031
- 25fortunebusinessinsights.com/chatbot-market-104563
- 28fortunebusinessinsights.com/customer-engagement-software-market-106274
- 27imarcgroup.com/email-marketing-software-market







