Key Takeaways
- 8.1x higher click-through rate for email campaigns using segmented targeting compared with non-segmented campaigns
- 4.5% of all web sessions convert on average across industries (global e-commerce conversion baseline reported as an industry benchmark)
- High-intent customers who view product pages are 6x more likely to convert than those who do not view product pages (benchmark behavior linked to conversion propensity)
- 42% of consumers expect personalized interactions when engaging with brands, increasing the likelihood of conversion when personalization is implemented
- 79% of B2B buyers perform online research prior to engaging with a sales representative, enabling conversion in later funnel stages
- 49% of consumers say they use search engines to research products before making a purchase (supporting search-driven conversion)
- 57% of mobile shoppers say they will not recommend or buy from a brand with poor mobile website performance, directly impacting conversion
- 47% of shoppers expect the website to load in 2 seconds or less; slower load times reduce conversion likelihood
- 70% of marketers use landing pages in their marketing efforts, which are core conversion assets
- Marketing automation is used by 63% of companies that have 100+ employees, enabling conversion optimization through lifecycle triggers
- The global marketing automation software market is forecast to reach $7.6 billion by 2030
- The global A/B testing and experimentation market size is projected to reach $1.9 billion by 2028 (spend enabling conversion optimization tooling)
- Email delivers an average ROI of $36 for every $1 spent (ROI supports higher conversion effectiveness in email marketing programs)
- 60% of shoppers say they would switch to a different retailer if a website is difficult to navigate
- 61% of consumers say they are likely to shop with a brand again after a positive customer service experience
Personalized, fast mobile experiences boost conversion, with segmentation and page speed driving significantly higher click and sale rates.
Performance Metrics
Performance Metrics Interpretation
Industry Trends
Industry Trends Interpretation
User Adoption
User Adoption Interpretation
Market Size
Market Size Interpretation
Cost Analysis
Cost Analysis Interpretation
Behavioral Insights
Behavioral Insights 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.
Lukas Bauer. (2026, February 13). Conversion Statistics. Gitnux. https://gitnux.org/conversion-statistics
Lukas Bauer. "Conversion Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/conversion-statistics.
Lukas Bauer. 2026. "Conversion Statistics." Gitnux. https://gitnux.org/conversion-statistics.
References
- 1mailchimp.com/resources/email-segmentation/
- 8mailchimp.com/resources/email-marketing-benchmarks/
- 2thinkwithgoogle.com/consumer-insights/online-shopping/average-conversion-rate-ecommerce/
- 4thinkwithgoogle.com/consumer-insights/keeping-consumers-from-bounce/
- 7thinkwithgoogle.com/intl/en-uk/consumer-insights/speed-consumers-conversion/
- 10thinkwithgoogle.com/intl/en-gb/consumer-insights/mobile-speed-is-the-new-brand-according-to-google/
- 13thinkwithgoogle.com/consumer-insights/micro-moments/more-than-a-trend-search-is-the-new-social/
- 14thinkwithgoogle.com/marketing-strategies/consumer-insights/relevant-messaging-stat/
- 15thinkwithgoogle.com/marketing-strategies/app-performance/impact-of-mobile-page-speed/
- 3shopify.com/blog/conversion-rate
- 6shopify.com/enterprise/ecommerce-conversion-rate
- 5web.dev/fast/
- 9wordstream.com/blog/ws/landing-page-conversion-rate
- 11salesforce.com/resources/research-reports/state-of-the-connected-customer/
- 12gartner.com/en/articles/b2b-buyers-are-taking-over-online-research
- 16gartner.com/en/documents/3995760
- 18gartner.com/en/newsroom/press-releases/2019-10-30-gartner-says-marketing-automation-technology-spending-to-reach-8-7-billion-in-2020
- 17hubspot.com/marketing-statistics
- 19marketsandmarkets.com/Market-Reports/marketing-automation-software-market-153697456.html
- 20globenewswire.com/news-release/2021/04/12/2207258/0/en/A-B-testing-market-size-to-reach-1-9-billion-by-2028.html
- 21grandviewresearch.com/industry-analysis/crm-software-market
- 22alliedmarketresearch.com/personalization-market
- 23litmus.com/blog/email-marketing-statistics/
- 24yotpo.com/blog/ecommerce-personalization-statistics/
- 25pewresearch.org/internet/2014/11/11/consumer-experiences-with-online-commerce-and-advertising/







