Geographical and statistical data in product development (Road.Travel)

Road.Travel is the all-in-one solution for creating and publishing curated travel routes with storytelling, booking capabilities and the industry-unique budget optimizer.

The main product of our company Road.Travel is travel routes, so my task as a product manager was to develop a system of geographical coverage of our routes on the example of one of the five most priority countries to enter the EU market. Using the example of the UK, I will show you how to identify 12 starting cities for our routes.

What additional tasks and criteria were in front of me:
  1. Go through regions in each of the countries below (Premier, First and Second tiers) to identify missing/uncovered areas, blind spots. Italian provinces, French departments, Germans lands, US and Canada regions etc.
  2. Identify and agree on the basic number of routes per category per city according to Road.Travel existing categories 
  3. Commission SEO analysis to identify road trips demand in each of the segments to inform prioritisation. 
  4. Use any other relevant data base (global incoming tourism numbers, car hires) to inform prioritiation.
  5. Agree on ‘city-province-country’ approach - grouping routes between countries, regions, areas.  

The initial assumption from our strategic consultant was to focus only on the basis of data on international visits to British cities.

I proposed a Road.Travel team a more extensive and comprehensive approach to the definition of 12 starting cities, which covered geographical, agglomeration, statistical and Google Adwords data.

Current approach: