Cliff’s Crafty ConvertKit Conversion [LNIM113]

ConvertKit changed how creators think about email marketing. In this episode, Mark invites Cliff Ravenscraft to share his experience migrating from Aweber to ConvertKit, building segmentation from scratch, and discovering that nearly everything he assumed about his audience was wrong.

What You'll Learn in This Episode

• Why Cliff left Aweber for ConvertKit after six years
• How ConvertKit's tagging and automation rules work in practice
• The onboarding sequence Cliff built to re-engage a dormant list
• Why your assumptions about your audience are probably wrong
• How internal surveys inside email sequences generate actionable data
• Practical segmentation strategies you can implement immediately

Episode Summary

Cliff Ravenscraft maintained an email list of over 4,000 subscribers through Aweber for six years, but his capabilities were severely limited. He could not segment subscribers by interest, could not trigger automations based on behavior, and was essentially sending the same message to everyone. ConvertKit offered the tagging, automation rules, and link triggers that made sophisticated segmentation possible at a price point that made sense for independent creators.

The migration from Aweber to ConvertKit was smoother than expected. Cliff built an onboarding sequence to introduce existing subscribers to his new email strategy, including automation rules that tagged subscribers based on which links they clicked. This self-selection mechanism let Cliff learn what each subscriber actually cared about without asking them to fill out a survey form.

The most revealing discovery was that Cliff's audience was far more diverse than he assumed. He had built his reputation around podcasting, but significant portions of his list were primarily interested in life coaching, business building, and personal development. This data allowed him to create targeted content sequences and product offers that matched specific segments rather than broadcasting generic messages.

Mark and Cliff also discuss ConvertKit's WordPress plugin, pricing structure, and the expected return on investment from having a properly segmented email system. The episode includes a screenshot comparison of Cliff's old generic opt-in form versus his new ConvertKit opt-in with clear lead magnet copy.

Key Takeaways

• A small, highly engaged email list outperforms a large unsegmented one
• ConvertKit's tagging and automation rules enable audience segmentation without manual effort
• Link triggers within emails let subscribers self-select their interests through natural behavior
• Data from email segmentation consistently reveals that audience assumptions are wrong
• Market-to-message match through segmentation dramatically improves email performance
• The right email platform pays for itself through better engagement and targeted offers

What's Changed Since This Episode

Mark recorded this in November 2016. The email marketing platform landscape has shifted significantly since then.

ConvertKit rebranded to Kit in 2024. The platform discussed in this episode is now called Kit. It has expanded dramatically with a free tier supporting up to 10,000 subscribers, a built-in commerce platform for selling digital products, and a creator network for cross-promotion between newsletters. The core tagging and automation features Cliff loved have been enhanced with visual automation builders and AI-powered features.

Email segmentation is now standard across all serious platforms. In 2016, the segmentation Cliff describes was considered advanced. In 2026, Mailchimp, ActiveCampaign, Beehiiv, and every other serious email platform offer comparable tagging and behavioral automation. The competitive advantage now comes from strategy, not platform capabilities.

AI-powered personalization has raised the bar. Modern platforms use machine learning to optimize send times, predict churn, and generate personalized subject lines and content. The manual link-trigger segmentation Cliff built is still valid, but AI tools now augment these approaches with predictive analytics.

Privacy regulations have changed list management. GDPR and similar privacy laws worldwide require explicit consent and careful data handling. Double opt-in is standard practice in many markets. The segmentation principles remain sound, but the compliance requirements around collecting and using subscriber data have increased.

The fundamental lesson, that understanding your audience through data produces dramatically better results than guessing, remains one of the most important principles in email marketing.

Resources Mentioned

• Kit (formerly ConvertKit) — email marketing platform for creators
• Podcast Answer Man — Cliff Ravenscraft's website
• LNIM Podcast

Related Episodes

If you found this episode helpful, you might also enjoy:

• LNIM113 Transcript — Full ConvertKit Conversion Interview
• LNIM114 — Switching to HTTPS: SEO Guide for Your Website
• LNIM111 — Content Workflow Software: Tools I Use To Create Content

Listen and Subscribe

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