We crawled every page from thousands of websites, assessed the social presence and stats of brokers and businesses, conducted a deep review of *all* broker Linkedin profiles, and then we measured everything against various performance metrics (including volume, growth, SEO etc). .
In the aftermath of top-performer data making its way into various publications, we'll usually see various stats... and they're all completely flawed. The published lists themselves are obviously flawed, and our exercise sought to identify high-volume businesses even when they're a relatively 'unknown' entity.
We see a bizarre style of survivorship or halo bias, or a bias that applies when brokers look to emulate the behaviour and patterns of those brokers that they perceive are doing well, despite the fact those business behaviours and operating methods are also shared by those that are doing poorly. You simply cannot evaluate or promote the methods of any broker without evaluating a sample size of at least a few thousand... so that's what we did.
High performing brokers do a good job of keeping their 'secrets' closely guarded, so when these businesses do speak to groups -usually at the behest of an aggregator- they'll often do so in a generic manner without exposing their proprietary methods... thus they'll often encourage others to emulate behaviours without communicating exactly what those behaviours are. Additionally, digital success won't be accurate if only a single channel is evaluated, so you can't measure Linkedin success/attributes without measuring against other data points, and the same applies for other networks.
After ingesting all the data we ended up with 12.2m database records - this gives you an idea of how much data was recorded for each individual/business.
We'll make the de-identified data available as a download, and we'll print the records into a PDF for those that don't enjoy SQL. After we've shared the data with our own clients we'll start to drip-feed the info here.
