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Just as you were absorbing all the Q1 local search excitement , Q2 came marching along with a bundle of new happenings and surprises. Don’t worry if you missed out on any of the key announcements and observations — I’ve got a little list for you here: 1. Novel stats on persistent reviewers Curtis Boyd included some statistics that I’ve never seen compiled before in his presentation at a LocalU conference. As captured in the above tweet from Joy Hawkins , 8% of unhappy customers or spammers whose first review is removed will come back and write another one. 60% of them will simply republish their initial review or one that’s quite similar, but 40% will make their second go even worse. The takeaway here is that you’ve got to monitor reviews constantly , and the relief of removal can be short-lived unless you’re watchdogging your profiles and working to get anything removed that violates Google’s content guidelines . 2. Both Google and Yelp promote eco features Yelp reports that

Google Autocomplete (often referred to as Google Suggest) is one of the first Google search developments that appeared on SEOs’ radar. Many years ago, Google Suggest was what powered Google Instant results, making a huge impact on users’ searching journeys. SEOs have been using it as a free keyword research tool. Yet there’s much more to this search feature, especially after all the updates Google has introduced, turning Google Autocomplete into a smart and predictive platform of its own. What is Google Autocomplete? Google Autocomplete allows users to easily complete their query by suggesting possible extensions of what they are currently typing: Google’s suggestions are dynamic — they instantly change as you’re typing your query. Google is trying to predict what a user means to type. These predictions are likely to impact the searching behaviors as people may instinctively choose a suggestion they never meant to type. In other words, Google’s Autocomplete should be an SEO prio

Google Autocomplete (often referred to as Google Suggest) is one of the first Google search developments that appeared on SEOs’ radar. Many years ago, Google Suggest was what powered Google Instant results, making a huge impact on users’ searching journeys. SEOs have been using it as a free keyword research tool. Yet there’s much more to this search feature, especially after all the updates Google has introduced, turning Google Autocomplete into a smart and predictive platform of its own. What is Google Autocomplete? Google Autocomplete allows users to easily complete their query by suggesting possible extensions of what they are currently typing: Google’s suggestions are dynamic — they instantly change as you’re typing your query. Google is trying to predict what a user means to type. These predictions are likely to impact the searching behaviors as people may instinctively choose a suggestion they never meant to type. In other words, Google’s Autocomplete should be an SEO prio

Last year, I pitched a series of technical SEO topics for local SEO on twitter and got lots of positive feedback. One of these elements of technical SEO that can feel extremely daunting and unfamiliar to local SEOs is speed optimization. There are some key scenarios when local SEOs should seriously consider speed optimization, even for a small local client. After all, these clients are still impacted by the issues that come along with having a slower website — such as higher bounce rates, lower conversions, and worst of all, a poor user experience. There are also plenty of instances where speed optimization is a practical next step in your SEO strategy. If your client has great content, great links, but low engagement or rankings, speed issues may be the culprit. This case study is about a client just like that. The only service my team at RicketyRoo provided during the length of the case study was speed optimization, and we saw some impressive results. In this post, I’ll share o