Key Takeaways
- Cold email open rates 24% with mobile optimization, per Litmus 2023
- LinkedIn outbound messaging CTR 0.44%, from Socialinsider 2023
- SMS click-through rates average 19%, per Klaviyo 2023 benchmarks
- 78% of consumers find outbound calls intrusive, per Salesforce 2023 State of Marketing
- 69% of B2B buyers ignore cold emails, from HubSpot 2023
- Only 3% answer unknown cold calls, per YouMail 2023 robocall report
- Average cost per lead (CPL) for outbound email is $53, per First Page Sage 2023
- Cold calling CPL averages $142 in B2B, from Belkins.io 2023 benchmarks
- PPC outbound CPL is $68 for tech industry, per WordStream 2023 Google Ads benchmarks
- Outbound marketing accounts for 50% of B2B leads per Gartner 2023
- Average outbound budget 28% of total marketing spend, from CMO Survey 2023
- Cold email benchmarks: 18% open, 2.5% reply B2B, per Woodpecker 2023
- Outbound marketing campaigns achieve an average ROI of 15:1 according to a 2023 HubSpot report
- Cold calling has a success rate of 2.3% in generating leads, as per Salesloft's 2022 benchmarks
- Email outbound lists convert at 1.5% on average, from Mailchimp's 2023 data
Outbound wins often hinge on personalization and mobile optimization, driving markedly higher engagement.
Channel Effectiveness
Channel Effectiveness Interpretation
Consumer Preferences
Consumer Preferences Interpretation
Cost Analysis
Cost Analysis Interpretation
Industry Benchmarks
Industry Benchmarks Interpretation
Performance Metrics
Performance Metrics 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.
Felix Zimmermann. (2026, February 13). Outbound Marketing Statistics. Gitnux. https://gitnux.org/outbound-marketing-statistics
Felix Zimmermann. "Outbound Marketing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/outbound-marketing-statistics.
Felix Zimmermann. 2026. "Outbound Marketing Statistics." Gitnux. https://gitnux.org/outbound-marketing-statistics.
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