Today we’re joined by Dylan Ander, founder of heatmap.com, to talk attribution, LTV, CAC, creative testing, and what actually moves the needle in media buying performance.

We unpack why conversion rate alone isn’t the best indicator of success and what to look at instead, from holdout testing and CAC payback windows to 60-day LTV. Dylan shares his approach to attribution when platform data (especially from Meta) falls short, and how to build creative testing frameworks that truly help scale spend.

We also dive into the nuances of media buying across channels, how to interpret noisy performance data, and the signals that actually matter. Dylan breaks down how to use on-site surveys to gather clearer attribution insights - what to ask, how to ask it, and how to use the data. Plus, we get into pricing strategy: why many brands hesitate to raise prices, and how pricing impacts both conversion and LTV.

Finally, Dylan walks through an audit of Cody’s website using heatmap and revenue data, offering tactical, high-leverage feedback on what’s working, what’s not, and what to test next.

If you have a question for the MOperators Hotline, click the link to be in with a chance of it being discussed on the show: https://forms.gle/1W7nKoNK5Zakm1Xv6

00:00 Meta Summit Takeaways

02:47 AI in Marketing Strategies

06:08 Introduction to Dylan Ender

09:04 Core Web Analytics Insights

11:55 Customer Feedback and CRO

15:13 The Importance of AOV and Conversion Rate

17:58 Revenue Per Session vs. Conversion Rate

20:50 Price Testing Strategies

39:41 Revenue Testing and Feedback

42:08 The Importance of Price Testing

43:36 Challenges in SaaS Pricing

44:57 Understanding Heat Maps and Analytics

52:58 Live Testing vs. Split Testing

56:20 The Role of Customer Feedback in Marketing

01:01:12 Understanding Funnel Metrics

01:08:53 Optimizing Navigation for Better User Experience

Episodes discussed in the show:Episode 1 - A Deep Dive into Attribution and Measurement Episode 27 - How We Set Goals, Attribution Limitations and KPIs for Growth?

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In this episode, we dive into Meta ad performance, Shopify’s latest AI features (including Sidekick), and we answer your DTC marketing questions from our MOps Hotline.

We start with unpacking how Meta is performing for us right now - why it’s still the most powerful channel in the stack, but also less forgiving than it used to be. Cody shares the thinking behind his recent tweet on Meta volatility and how we’re adapting creative and media buying to respond.

Next, we discuss to Shopify’s latest AI announcements and tools - from Sidekick to generative features inside the Shopify platform. We discuss whether these updates are useful for ecommerce operators, or just more hype.

Ad finally, we get into a round of your questions from our MOps Hotline, covering email vs SMS strategy, SKU-level segmentation, channel prioritization, and more.

Want to submit your own DTC or ecommerce marketing question? Click here.

00:00 Introduction

04:34 Leveraging AI in Marketing

07:05 The New Metric: Cost Per 1000 Accounts Reached

19:26 Optimizing Meta Advertising Strategies

27:38 AI Innovations in Shopify

37:34 The Future of E-commerce with AI

44:12 Incrementality Testing for Ad Spend

51:41 Effective Marketing Measurement and Reporting

01:02:54 Pricing Strategies and Conversion Rates

Mehtab's X Thread:https://x.com/mehtabkarta/status/1924547703373189179?s=46

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Prescient AI.⁠⁠⁠

https://www.prescientai.com/operators

Richpanel.⁠⁠⁠

https://www.richpanel.com/?utm_source=MO&utm_medium=podcast&utm_campaign=ytdesc

Aftersell.

https://www.aftersell.com/operators

Haus.

http://Haus.io/operators

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Disclaimer: Meta participated as a guest on this podcast episode, However, Meta does not endorse or sponsor this podcast, its content, or any of its commercial partners or sponsors. Any views expressed are those of the individual participants and do not represent the views of Meta.

The Marketing Operators hosts have a live discussion about marketing at the Meta Summit. They discuss the concept of incrementality in marketing, exploring its significance, measurement techniques, and the evolving landscape of marketing tools. They discuss the importance of understanding which conversions are truly incremental and how to effectively measure them using various tools and strategies. They emphasize the need for a culture of experimentation and the role of data triangulation in optimizing marketing efforts.

The discussion also touches on the challenges faced by marketers in adapting to changing consumer behaviors and the future of incrementality in the marketing industry. They explore the role of AI in creative development, emphasizing the need for diverse and culturally resonant content.

00:00 Introduction to Incrementality in Marketing

02:45 Understanding Incrementality: Definitions and Examples

06:04 The Role of Measurement in Incrementality

09:08 Tools and Strategies for Measuring Incrementality

12:01 Operationalizing Incrementality in Marketing

18:03 Triangulation of Data for Better Insights

20:48 The Future of Incrementality in Marketing

29:23 Driving Brand Outcomes through Incrementality

33:30 Revisiting Past Ads for New Opportunities

35:43 The Future of Creative Testing with AI

39:30 Cultural Resonance vs. AI-Generated Content

43:54 The Balance of AI and Human Creativity

47:32 Exploring Creative AI Platforms

51:08 Actionable Insights for Future Campaigns

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