Gaining competitive insights by checking your competitor websites is time consuming. DataScouts allows to calculate a competitive ranking on the fly. The rankings used in the Competitive Dashboards use a predictive model. The ranks indicate for each company its predicted business growth and digital footprint based upon a comparison with fast growing companies. The control group consists of fast growing companies as listed in the Deloitte Fast Fifty and the INC5000.
But what does that mean for you? And how can/should you use it?
How are the scores calculated?
The DataScouts scores are calculated based on different datasources that provide a holistic picture of a company. DataScouts therefore combines structured company performance indicators retrieved from company directories with information about the innovation focus, the adherence to sustainability development goals and the digital footprint retrieved from social media, patent databases, vacancies databases etc.
The scores are predictive, which means they are an indication of the probability that a company will grow at a comparable speed as the select group of fast growing companies.
High scoring actors are thus more likely to grow fast than lower scoring actors. Growth indicators can differ substantially between the evolution of the digital footprint and the growth of the company. Remember that SaaS companies might reach a global digital reach with a small team working for one location.
To calculate the scores, data is bundled on a monthly basis, in order to avoid temporary outliers.
Which scores are calculated?
- The digital footprint score reflects for each actor DataScouts’ prediction of business growth based upon its digital presence, social media performance and findability on the web.
- The business size score reflects for each actor DataScouts’ prediction of business growth based upon financial performance indicators.
For each of these scores DataScouts provides 3 graphs:
- The ranking graph: Ranking of actors based upon their score of the last full month
- The landscape graph: Competitive positioning of actors combining their score of the last full month (x-axis) with the growth of the score since the former month (y-axis)
- The evolution graph: Rolling 12 month evolution of the top ranked actors based upon their score.
These 6 graphs provide competitive insights, combining a landscape with the evolution over time. Hoovering over an actor shows you the latest scores and the significant changes. When you click on it, it allows you to drill down into the data per actor.