People's opinions on local needs fuel targeted campaigns, promoting loans for small businesses.

Sberbank uses empty window fronts, billboards and geo-targeted online banners to ask locals’ opinions, offering algorithm-generated solutions. Local responses initiate an advertising campaign targeting suitable businesses.

Hundreds of outdoor ads and over 3,000 unique online banners ask for local residents’ opinions on algorithm-generated business ideas for the neighborhood. Suggestions are based on broad range of data. Data gathered from local residents is used to create new unique ads for businesses.

Messages are sent to all the bank’s business clients that fit the local need. Forecasting models are used to determine and contact suitable entrepreneurs online.

With each response the algorithm learns to offer better choices for both locals and businesses.

Campaign generates 9X as many small business responses than traditional loan advertising campaigns.

Campaign is 30% more cost-efficient than traditional campaigns.

3X as many customers take business development loans than from traditional loan campaigns.

Sberbank has been approached by major Russian real estate developers to collaborate on better infrastructure planning in residential areas.

People's opinions on local needs fuel targeted campaigns, promoting loans for small businesses. The campaign uses algorithm-generated messages. The strategy is based on data analysis. With each response, the algorithm learns to offer better choices for both local residents and businesses.

Retailers and service providers in Russian cities are often strangely located.

Only 20% of new ventures survive the first two years.

Sberbank is Russia’s largest bank, which can be a disadvantage, as entrepreneurs often prefer smaller banks that they believe have a more personal approach and a better understanding of small business. The brief is to run a campaign for small business loans, as well as demonstrate technological leadership and support for small businesses. Sberbank process transactions for 80 million clients and 1.2 million businesses. Data show that infrastructure often doesn’t meet local needs.