key performance indicators
In the constantly shifting local search landscape, where it can feel like the targets are forever on the move (and interspersed with furry and feathered but unfriendly animals), what's a marketer to do?
Local marketing consists of more than just optimized pages and listings - it’s a complex ecosystem that is always on and always changing.
The old practices of link-building to boost SEO just won't cut it anymore. Here's a fresh way to look at building links: domain equity development.
The sole purpose of data analysis and reporting is to enable smarter decisions that will lead to improvements. If the reports you put together or receive don’t allow you to do that, something is broken.
One in every 24 visits is a fake Googlebot. Identifying bad bots can be tricky; some are very sophisticated, especially the ones mimicking Google. Here are some steps you can take to verify whether you're getting faked visits.
With these seven local SEO key performance indicators, you can implement a simple three-step process to quickly track local search performance, measure the effectiveness of local SEO efforts, and analyze results to optimize future efforts.
The rise of vanity metrics often distracts content authors from the true meaning and value of publishing great content. You shouldn't create content based on vanity metrics. The best content balances firm audience, personal, and business objectives.
If you employ an SEO or PPC consultant/agency, assess these points to determine whether they're doing their job. If you're looking to hire a new agency or consultant, address each point with them and ask for examples before initiating an engagement.
Keywords still matter and Google is making it harder for us to find them. But not impossible. Here's how you can use small AdWords campaigns, Google Webmaster Tools, UberSuggest, and user interviews or surveys for keyword research.
Big data doesn't have to be big and scary if you have simple elements in place. The challenge is harnessing it in a meaningful way. The secret to making big data work for you is in knowing which data sources matter and when to exclude data.