Summary

In this episode, Bryan Butler interviews Gianfranco Nuschese from Channable. They discuss Channable's features and differentiation, including dynamic pricing and search ads. They also talk about simplifying integration with Amazon and Channable's expansion into paid social and marketplaces like TikTok. They address Google's extraneous promotional text warning and provide tips on how to prepare for it. They also highlight Channable's image editor for feed optimization and discuss the use of AI and smart categorization. Finally, they touch on Channable's future plans for AI and text optimization. In this conversation, Gianfranco Nuschese from Channable discusses various strategies and use cases for optimizing Google Ads campaigns. He explains how to use PMAX and PPC to segment products based on performance and maximize return on ad spend. Gianfranco also highlights the importance of integrating Google Analytics data to make better marketing decisions. Additionally, he discusses the benefits of automating inventory management across different marketplaces and introduces Channable's support for Amazon product ads.

Takeaways

Channable offers dynamic pricing and search ads, allowing for real-time updates and optimization.

Channable simplifies integration with Amazon and other marketplaces, making it easy to optimize data feeds without changing backend systems.

Channable is expanding into paid social platforms like TikTok and is preparing for Facebook's checkout integration.

Google's extraneous promotional text warning can be addressed by using Channable's feed rules to remove or modify promotional text.

Channable's image editor helps optimize images for different platforms, such as plain backgrounds for Google and promotional text for social media.

Channable uses smart categorization and is exploring the use of AI for text optimization in the future. Segmenting products in PMAX allows for better control and optimization of high-performing and low-performing products.

Integrating Google Analytics data with Google Ads campaigns can provide valuable insights for improving marketing strategies.

Optimizing campaigns based on price ranges can help prioritize advertising efforts and maximize return on ad spend.

Allocating a test and learn budget allows for experimentation and optimization of marketing campaigns.

Automating inventory management across marketplaces helps prevent overselling and ensures accurate stock availability.

Channable offers support for Amazon product ads, providing a comprehensive solution for managing and optimizing advertising across multiple platforms.

Chapters

00:00 Introduction and Background

03:10 Channable's Features and Differentiation

08:18 Dynamic Pricing and Search Ads

13:27 Simplifying Integration with Amazon

18:31 Expansion into Paid Social and Marketplaces

28:53 Google's Extraneous Promotional Text Warning

31:17 Preparing for Google's Extraneous Promotional Text Warning

37:20 Image Editor for Feed Optimization

39:35 Channable's Use of AI and Smart Categorization

41:00 Future Plans for AI and Text Optimization

42:00 Use Case for PMAX and PPC

44:17 Segmenting Products in PMAX

47:13 Google Analytics Integration

50:13 Optimizing Campaigns Based on Price

51:01 Test and Learn Budgets

52:42 Inventory Management Across Marketplaces

55:12 Support for Amazon Product Ads