The predictive platform significantly outperforms other enterprise SEO and ranking platforms for one simple reason: they have to source their intelligence from Google's "Black Box".
Market Brew has helped our digital marketing agency and clients understand what we were doing well and what we could do better on desktop and mobile. The insights from their predictive engine allowed us to see where there were cracks in website architecture and irregularities in content.
Allen Jurisic, Director of Search & Analytics, Prestige Marketing Inc., on using Market Brew for his Agency’s site and large international e-commerce sites
Investing in Market Brew technology is the best decision you will ever make. Every account gets:
With no keyword or website limits, and hands-on support, you will not find a better chance of success.
In Market Brew, once you have self-calibrated your search engine model to a target search engine environment, you can make a change and test the results within a FRACTION of the time of any other platform. Not using Market Brew to test your change? You'll have to wait 60 days (at best) for search engines to crawl every other site, score and update their search results (and your rankings) to find out.
Market Brew users are able to truly grasp why and how their website ranks the way it does, or why it doesn't rank. This extremely easy to use platform is for anyone trying to solve the mystery behind why search engines behave the way that they do.
Rob Duncan, Former Consultant for the SBDC at USF, on using Market Brew for the Small Business Development Center
Market Brew can target ANY search engine environment with a high degree of accuracy (70% or higher average correlation, #1 in the industry). Simply choose which search engine environment to target, by entering in the keyword phrases and selecting the search engine environment you want to target (all Google versions are available, as well as other search engine environments).
Next, we take a look at what is currently ranking on that search engine environment RIGHT NOW. The goal here is to train our generic search engine model (called our "standard model"), so that it takes on the behavior and characteristics of that target search engine environment. After selecting a number of ranking pages as a sample set, Market Brew begins to automatically machine learn the algorithmic mechanisms that are affecting the search engine rankings in that environment.
In a matter of minutes, millions of combinations of inputs into our generic search engine are evaluated using a genetic algorithm called "Particle Swarm Optimization", guaranteeing a high degree of correlation between your search engine model and your target search engine environment.
Now with highly-correlated data, the predictive SEO platform reveals the inner workings of that target environment, including search engine ranking distances, and what statistically separates ranking #1 from ranking #2. Is it on-page? Off-page? The META Title, the HTML content, the inbound anchor text? You'll know exactly what to focus on to close the gap.
Additionally, our predictive system simulates millions of alternative scenarios and optimizations. It generates a TODO list: a "global maxima" solution (the most efficient path to increase traffic, without inducing negative effects on other parts of your website), and delivers that to you in simple actions for your team to act on. A tremendous amount of processing power is required to generate this TODO list, and is unique to Market Brew technology.
Each action has a specific focus (what things to fix) and one or more algorithmic screens to help you identify how that part of the search engine calculated this score, leading you to quickly implementing that action. And because you are working with a live model of your targeted search engine environment, you can make small changes on your site, and test those changes within hours (instead of having to wait for months to get rankings feedback, like you do using every other enterprise platform on the market today).