AI and Machine Learning in Marketing
I recently had the honor of speaking at the NYIT/ListNET’s Artificial Intelligence Conference, which included speakers from Amazon, IBM, Zebra Technologies, and Northwell Health, among other companies.
These were a few key themes of the talk:
I shared a simple modeling tool to use as the basis of predictive analytics, starting with prioritizing and cleaning up your data sets, and how to build a scoring tool for evaluating your best customers and prospects.
AI in Voice Technology…
According to Comscore, 50-percent of all searches will be conducted via voice in 2020. Marketers should be preparing for this trend and evaluating their search campaigns for conversational searches.
As an agency, we’ve been working on new ways to account for voice search as part of our campaigns, as well as working on Alexa Skills and voice apps for brands to leverage Amazon Alexa and Google Homes.
…But Don’t Ignore Image Search:
With the success of Pinterest’s IPO, we’re seeing an increasing use of image search, especially in eCommerce. Look for the development of image recognition machine learning built into web inventories – similar to Target and Pinterest Lens. The percentages of image searches are growing each day, and it’s increasingly important to make sure website images are optimized accordingly.
We shared some data on how many more consumers are engaging with chatbots. We also shared a few simple tools that you could even use tomorrow as ways to begin using chatbots and messenger services in marketing. Chatbots can empower your team and boost your brand presence.
For more information on AI and machine learning, and how both can be applied to your marketing mix, contact us.