dataplace.ai

⚽ Sports Direct is planning to take over the GO Sport Polska chain. We've checked whether the company will be able to benefit from the potential of all the locations. A few shops don't seem like a very certain business move. 🧐

GO Sport manages a network of 26 stationary retail shops in Poland. Not all their locations seem to be a good choice to join the group of 13 Sports Direct shops on the Polish market. 🔍

➡ In Wrocław, the two shops of these brands are only 400 m apart! Therefore, converting a shop into a Sports Direct branch could be problematic, as it would most likely lead to cannibalisation.

➡ Dataplace's analysis shows that 78% of people who visit Sports Direct in Wroclaw also visit GO Sport, but only 54% of people who visit GO Sport also go to Sports Direct. This means that more people in this particular area prefer Go Sport as a shopping destination.

➡ The less than ideal sign is the information that just 550 m away is another competitor – Decathlon.

➡ Within a radius of 500 m from the shops there are less than 40,000 people per day. Such a close location of three sports shops can be challenging in terms of attracting enough customers. In addition, it is worth noting that the area is a shopping centre, so there is a range of different shops that attract the vast majority of this traffic.

💡There are numerous of great locations in the pot that could strengthen Sports Direct's position in the Polish market. However, it is always worth looking at individual outlets as there may be some rotten apples among them.

Another puzzle added – see what's new in dataplace! 🧩

As promised, we are still working on our app by adding more improvements and data. The latest release includes:

➡ BIKE RANGE 🚴‍♂️
It is already the option to mark the access area for cars and pedestrians in the app. From now on, bike range is also an available method!

With different catchment routing, users can examine a specific point on the map in terms of its pre-defined surrounding area.

➡ INTERNATIONAL DATA 🌍
At this point of app development, it is possible to analyse any real point in the European Union. We provide analyses of:

👉 ;
👉 profile;
👉 ;
👉 population receipt ( ).

Each of these analyses provides important information about the location itself and people residing around the study area. A full understanding of the profile of the population allows answering questions such as:

💡 How many households are there in the area?
💡 What is the demographic profile of the residents?
💡 What do the residents of the area spend their money on?
💡 What are the earnings of the residents of the area?

In addition, for Portugal and the Czech Republic it is already possible to analyse grocery shopping outlets in the neighbourhood.

Test and use the app for free! You can find the registration link in the comments.

With the new week comes a 🆕 feature in dataplace ‼ 🎊

From now on, you can the in the area by checking what kind of trade and services are in the neighbourhood.

Here are some possible use cases:

🎯 Discover micro-areas where you have a chance to compete for customers.

🎯 Check the number of competitors in the neighbourhood – it may not be worth entering a highly competitive market.

🎯 Target your marketing efforts effectively.

See how it works ➡ https://lnkd.in/e3-Xxb9N

💡💡💡 By combining this analysis with the "shared traffic scan" function, you can easily find out how traffic is distributed between you and your competitors.