#91 Revolutionising Retail: AI's Impact on Connecting Online Ads and Offline Sales

Jonny Ross Fractional CMO

🌟 Join us on the Jonny Ross Fractional CMO podcast for an insightful dive into the future of retail marketing with Lewis Rothkopf, Chief Revenue Officer of Pairzon. 🚀

🔍 In this episode, we unravel the complexities of connecting online advertising with offline sales measurement and the incredible potential of AI in reshaping marketing strategies. Lewis shares his extensive experience in digital media and ad tech, offering valuable insights into how retailers can leverage data to supercharge customer acquisition, retention, and overall ROI.

📈 Discover the secrets behind effective online-to-offline marketing strategies and learn how to measure the real impact of your marketing efforts with precision. Don't miss this opportunity to gain expert knowledge on using AI to solve today's biggest marketing challenges.

👉 🔗 Guest Links:

Connect with Lewis Rothkopf on LinkedIn: https://www.linkedin.com/in/lewis/

Discover the power of Pairzon: https://pairzon.com/

Don't forget to subscribe and follow "Jonny Ross Fractional CMO" for more insightful discussions with industry leaders:

🎧 Listen on your favorite podcast platform: https://podcast.jonnyross.com/listen

📺 Watch on YouTube: https://www.youtube.com/c/FleekMarketing/

Grab your headphones, and let's get futuristic with marketing! 🎙️🌟

#JonnyRossCMO #RetailMarketing #AIInnovation #DigitalMedia

Timestamps:

The problem of measuring marketing effectiveness (00:01:53)

Lewis discusses the challenge of measuring the effectiveness of marketing efforts and the limitations of click-through rates as a metric.

The need to bridge the gap between online and offline marketing (00:03:20)

Lewis explains the difficulty of connecting online ad exposure to in-store purchases and the limitations of geolocation as a proxy metric.

Using AI to understand the customer journey (00:06:24)

Lewis discusses how AI and machine learning can track the entire customer journey, from online interactions to offline purchases, and eliminate guesswork in measuring advertising effectiveness.

The consumer experience and wasted advertising spend (00:11:20)

Discussion on the negative experience of seeing repetitive ads and the wastefulness of advertising to consumers who have already made a purchase.

Targeting and anti-targeting based on consumer pools (00:12:23)

Explanation of how marketers can use consumer pools to target or anti-target their ads based on reach, frequency, response frequency, and monetary value.

The role of a customer data platform (CDP) and alternatives (00:14:12)

Comparison between Pozen's marketing data platform and traditional customer data platforms (CDPs), highlighting the benefits and cost-effectiveness of Pozen's solution.

The power of AI in understanding user search behavior (00:23:23)

AI can predict what users will search for next based on data analysis and autocomplete suggestions.

Using lookalike audiences to drive customer acquisition (00:24:59)

Lookalike audiences help expand the customer base by targeting similar individuals based on first-party data.

The importance of data integration for actionable insights (00:29:19)

Having all the data in one place allows for immediate actionable insights and better decision-making in marketing strategies.

Bridging the online and offline sales gap (00:33:36)

Lewis discusses the importance of using data and AI to bridge the gap between online and offline sales.

AI-driven success (00:33:36)

Lewis talks about how AI can drive success in marketing by leveraging data and optimizing the consumer journey.

The future of marketing with AI (00:33:36)

Lewis and Johnny wrap up the episode by discussing the potential of AI in marketing and encourage listeners to use their data effectively.

Keypoints:

• Problem of bridging the gap between online and offline advertising
• Use of AI algorithms to analyze data from retailers' POS systems and transaction logs
• Eliminating guesswork and providing accurate insights into the effectiveness of marketing campaigns
• Poor return on ad spend for big retailers and the need to focus on accurate measurements of campaign success
• Tracking and analyzing consumer behavior to optimize marketing strategies
• Targeting and anti-targeting consumers based on defined pools
• Preventing consumers from seeing ads for products they have already purchased
• Pozen's compatibility with retailers
• with loyalty programs and ability to act as a customer data platform for
• retailers without loyalty programs
• Differentiation of Pairzon from other companies in terms of cost-effectiveness and quick implementation
• Use of AI in predicting consumer behavior and the effectiveness of lookalike audiences