Summary
eBay's in-house AI team is using generative AI for ad personalization, creating more tailored banner ads, email subject lines, and YouTube video edits. The goal is to produce content that appeals to customers personally and manage the site's vast inventory. The AI use is being scaled across product and marketing teams, reducing creative development time from weeks to days.
eBay's strategies for leveraging generative AI for ad personalization include:
- Focusing on predictive modeling to understand customer preferences and timing.
- Experimenting with creating more banner ads and personalized email subject lines for owned and earned channels.
- Collaborating with YouTube for different video edits for paid ads.
- Managing content for the vast number of items on eBay and enhancing its appeal.
- Aiming to produce hundreds of banner ads for testing and optimization to personalize customer experience.
- Building platforms where generative AI can quickly create multiple variations under human supervision.
- Streamlining creative development from weeks to days for quicker testing and use.
Impact of generative AI on marketing and advertising:
- Generative AI is shifting focus from potential future possibilities to current practical applications in ad personalization.
- Companies like eBay are experimenting with AI to create personalized content for their customers.
- The technology is enabling the creation of multiple ad variations for optimization and personalization.
- There is a 'crawl, walk, run' approach being adopted by clients, with the expectation that more organizations will pilot AI personalization in the next 18 to 24 months.
- The use of generative AI is raising ethical and moral questions, with varied responses from different companies.
Challenges faced by eBay with generative AI ad personalization include:
- Producing content that appeals to customers on a personal level.
- Managing content for approximately two billion items listed on the site.
- Ensuring the content is appealing and personalized, which is created by the sellers of the items.
- Scaling the number of personalized banner ads from less than ten to dozens and eventually hundreds.
- Integrating AI with human supervision to maintain control over the content generated.
ASICS' marketing strategy in the changing landscape focuses on:
- Staying true to the ASICS brand and its foundational connection to communities.
- Partnering with the right entities to support individuals and uplift communities.
- Utilizing ASICS brand ambassadors across various areas and key media industry partners.
- Emphasizing a community-centric approach, regardless of changes in the marketing environment.
- Involving athletes and influencers in marketing efforts to create a cohesive ASICS community.
Trends in TV and video content consumption that advertisers are responding to include:
- A majority of adults (73%) prefer streaming services over cable and broadcast.
- Most people (72%) watch content through their TV set.
- Streamers often respond to ads by visiting a company's website (51%), checking social media (40%), or considering company reviews (36%).
- Advertisers are adding connected television to their media mixes to align with these trends.
- There is a significant observation (two-thirds) of an increase in ad volume on streaming services, with half of the viewers perceiving it negatively.