How the Homeowners Bot convert online readers to subscribers

The Homeowners Bot was one of the winners of the BIGGIES Awards competition. Here’s how you can submit your entry  to the BIGGIES Awards for Europe, Middle East and Africa, taking place on 1 November in London.


Homeowners Bot ()


News about real estate business have a proven high reading among local newspaper readers and visitors to local media sites. Analysis of how the content is used now also shows that real estate business news appeals to loyal, often paying visitors. (In addition, they are pure click magnets!) At the same time, it appears that almost no such texts are published on the local media site. (Case: MittMedia, Sweden)

The housing market has long been an important advertising category for the daily newspapers. Online, the media houses have had a hard time creating a relevant environment for offers from real estate agents. With a flow of automated real estate texts, such an environment can be created.

Bring real estate listings into the internet age

By automatically producing a unique text for every house sold, with images, maps and geographical data, we bring the old listings into the internet age. (United Robots operates in the same way withs sports results, stock market listings and new companies and bankruptcies.) Not only does the number of texts about real estate deals increase dramatically, in addition, the following happens:

  • We automatically find and attach to the text a high resolution Google Street View image, a satellite image and a map with coordinates.
  • Now also smaller news sites can launch their own property sites, as the automated real estate texts allow a constant flow of new content. (For a normal Swedish news site that means about 20 articles per weekday.)
  • Each property sale gets its own URL, which dramatically increases the number of pageviews.
  • Real estate texts have proven ability to convert readers to paying subscribers.
  • Interested in testing personalization or superlocal apps? This requires super-local materials, such as real estate sales. And it is a highly relevant content for readers in local communities.
  • When our smart algorithms find information that might be worth paying extra attention to, an Alert will be sent to the newsroom. For example when the most expensive property so far this year was sold, or the largest, or when the highest square meter price in an area was recorded, etc.

Read the full case study here.

The BIGGIES reward media companies’ innovation in Big Data and Artificial Intelligence efforts. It is organised and hosted by World Newsmedia Network in association with FIPP. 

Deadline to submit entries is Friday 14 September 2018: Submit your entry

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