The New Local Ecosystem: An Interview With Darren Shaw
As of this year, the task of updating the Local Search Ecosystem has been handed to Darren Shaw of Whitespark, who also inherited David Mihm’s other well-known brainchild, the Local Search Ranking Factors report. Last week, Darren released Local Search Ecosystem 2017, a bold departure in visual design and a much-needed update to the last edition, from 2014.
Understanding How Google Measures Store Visits
Even though ecommerce is growing and brick-and-mortar retail is arguably in the midst of a slow decline, 90% of consumer dollars are still spent in physical stores, and the intent of Google’s store visits data is to help demonstrate the efficacy of multiple online touchpoints that might drive consumers into a store.
2017: A Year of Experimentation for Google Local Search
For marketers and local businesses, it’s always a challenge to keep track of the search giant’s frequent shifts in policy in policy, procedure, and terminology. This year has been especially dizzying, though to those paying attention, many opportunities are presenting themselves to reach out to customers in new ways.
Charting Google’s Shifting Priorities in the New Local Search Survey
For many years, Physical Address in City of Search was the most important ranking factor, but it has now been overtaken by Proximity of Address to the Point of Search (Searcher-Business Distance). As such, the canonical local search use case has become a mobile user searching for a business nearby his or her current location.
The Usability Gap: Designing the Right Products for SMBs
Surely small business owners belong to the class of ordinary users. Expecting them to invest the time and energy to become power users is a good way to guarantee that your user base will remain small. This realization could lead to a very different and more fruitful approach to product design for SMBs.
Google’s Pragmatic Approach to the Truth, and Its Pitfalls
If enough people believe something, should Google consider it to be true? In a world where questionable news is very popular, it’s not so surprising that Google’s logical assumptions might sometimes produce unexpected results. After all, trustworthiness at root is a matter of how many people are willing to trust you.
Snapchat, Uber, and the Implications of Machine Learning
Machine learning and predictive analytics need to meld seamlessly with core app functionality. The technology needs to “just work,” without steep learning curves or frustrating dead ends. So I’d expect any company who experiments with machine learning for local search to start with a simple set of problems and hone the user experience.
Brand Battles in Depth: Looking at Starbucks vs. Dunkin’ Donuts
The series demonstrates the real complexity of cross-platform digital marketing and the importance of a data-driven strategy in identifying meaningful objectives and tracking performance. This commentary explains how Brand Battles are constructed and how their subject areas fits into the bigger picture of local marketing for national brands.
The New Proximity: A Second Phase in Mobile Brings Here and Now to Life
The first phase of mobile software relied on us to express a desire and thereby to enable a service. Our actions initiated services that capitalized on the phone’s ability to maximize proximity. Now we’re entering a second phase where, for many of us, connectivity and location awareness will be active for longer stretches of our days.