Hashtagging the Mona Lisa: Navigating the Visual Search Gap

My new favorite topics to learn about are visual search and image recognition. I was excited to give a talk about this for Marketing Week Live in London in early March, and I gave a shorter (and Texan) version of the talk at W2O Group’s Pre-Commerce Summit during SXSW.

W2O Group shared some of the highlights of the talk on their blog, so I’ll repost them here:

Key Takeaways:

  • Did you know that Jennifer Lopez’s dress from the 2000 Grammys is what inspired Google Image Search?
  • Pinterest is one of the world’s biggest search engines with 2 billion searches per month. 97% of those searches are unbranded.
  • 74% of consumers say text-based keyword searches are inefficient for helping them find the right products; 67% say quality of product images are a very important factor when purchasing products.

Read W2O’s blog to find more from speakers such as Jeremiah Owyang, Mary Ellen Dugan, Judith Williams, Rohit Bhargava, Bryan Kramer, Ali Grace Marquart, and many others.

Meanwhile, you can find my slides on SlideShare. I’ve only posted the British version, so expect more Monty Python, less Chuck Norris. They’re included below, and available for download at bit.ly/hashtagmona.