SME&U models the ANZSIC code based on the content of the business’s website. It uses a combination of natural language processing and machine learning. *
Modelled based on the directors running the company combined with the industry and location of the business.
DOT uses a combination of the directors, online footprint** and locations of the businesses, to enable it to rank each business within a region and industry.
Every Director in NZ ranked by the number of directorships of large businesses in specific industries.
DOT leverages its relationship with Verifone to model the turnover for businesses operating in the Retail segment.
Address(s), phone number and website address.
* Using the self-reported level 1-6 ANZSIC industry codes in the companies office as a training set
** Business website, media mentions etc
A large NZ corporate wants to grow their market share in the mid-market.
DOT firstly base-lined market share for each region and industry in NZ. This was completed by matching the customer data set with DOT’s SME&U dataset.
Based on the market share finding’s, DOT used SME&U to generate prospects for the sales teams.
The results of the initial campaign were such that the corporate signed up to an ongoing SME&U licence.
Over the last 12 months, DOT has provided quarterly market share reporting and prospect lists.
The corporate has reassigned its sales team into areas with the largest opportunity and have significantly improved conversion rates compared to historical campaigns.