When checking into places on Google Maps, you may have noticed that Google prompts you to volunteer information about the place you’re visiting. For instance, if you check into a restaurant, you might be asked whether the establishment has a wheelchair-accessible entrance or whether the location offers takeout. There’s a reason Google wants to know: attributes.
Attributes consist of descriptive content such as the services a business provides, payment methods accepted or the availability of free parking — details that may not apply to all businesses. Attributes are important because they can influence someone’s decision to visit you.
Google wants to set itself up as a go-to destination of rich, descriptive content about locations, which is why it crowdsources business attributes. But it’s not the only publisher doing so. For instance, if you publish a review on TripAdvisor or Yelp, you’ll be asked a similar battery of questions but with more details, such as whether the restaurant is appropriate for kids, allows dogs, has televisions or accepts bitcoins.
Many of these publishers are incentivizing this via programs like Google’s Local Guides, TripAdvisor’s Badge Collections, and Yelp’s Elite Squad because having complete, accurate information about locations makes each publisher more useful. And being more useful means attracting more visitors, which makes each publisher more valuable.
It’s important that businesses manage their attributes as precious location data assets, if for no other reason than that publishers are doing so. I call publishers (and aggregators who share information with them) data amplifiers because they amplify a business’s data across all the places where people conduct local searches. If you want people to find your business and turn their searches into actual in-store visits, you need to share your data, including detailed attributes, with the major data amplifiers.
Many businesses believe their principal location data challenge is ensuring that their foundational data, such as their names, addresses and phone numbers, are accurate. I call the foundational data “identities,” and indeed, you need accurate foundational data to even be considered when people search for businesses.
Chief Analytics Officer Spring 2017
15% off with code MP15
Big Data and Analytics for Healthcare Philadelphia
$200 off with code DATA200
10% off with code 7WDATASMX
Data Science Congress 2017
20% off with code 7wdata_DSC2017
20% off with code AIP17-7WDATA-20