How much is a property photo worth?
In this two-part blog, I’m discussing whether higher quality property photos can increase a property’s selling price. Part 1 focuses on external photos whilst Part 2 talks about improving internal images.
In the climatic final scene of Four Weddings and a Funeral, Andie MacDowell and Hugh Grant declare their love amidst a heavy downpour. Fortunately for Andie and Hugh, London’s climate that day produced sufficient lighting to illuminate Andie’s face for the perfect camera shot. Lucky Hugh.
In case you don’t share the production team of Four Weddings’ good fortune with the weather-producing lighting, I’ve been investigating whether the quality of lighting (and other factors) makes a difference when you sell your home.
You should care about the quality of your property photos because first impressions count. The producers of Four Weddings knew that getting the lighting right in that final scene would be enjoyed by viewers who would pay to see it again, thus increasing box office takings. In the same way, there is a lot of evidence to suggest that achieving better property photos leads to a higher selling price.
Harry Potter’s relations, the Dursley’s house on Privet Drive sold for £290,000, but they could have netted an additional £6,000 with better photos. [Image enhanced by Autoenhance.ai.]
Most of the research on property photos comes out of the USA; Realtor Magazine — the official magazine for REALTORS — found that listed properties with professional photographs were viewed 61% more than other properties listed at a similar price. And those extra viewings count. Further research undertaken by real-estate brokerage, Redfin, evidenced that better quality photographs increased selling prices of mid-priced properties by 1%-2%. The value of an average UK property worth £256,000 could increase by between £2,500 and £5,000.
If you think you’ve seen this B&B before, you’re probably right. It features in the film Groundhog Day. By the way, two weeks ago the groundhog could see his shadow which means we are in for 6 more weeks of winter. [image enhanced by Autoenhance.ai]
That’s not all. As well as pocketing the extra cash, a property with better photographs takes three weeks less time to sell than one with average photographs. If you want more money, and you want it fast, read on.
Professional photographers are often happy to generate extra income with property shoots, since they can fill in their quiet times. If you’re selling your home, begin by talking to your estate agent who will have photography contacts you can reach out to. To be honest, a good agent should insist on decent photographs, since faster sales at higher prices suit them too. But no-one is prepared for a bad weather day, and if you haven’t got the Four Weddings’ lighting team on stand-by, then even the best photographer will struggle. There are solutions — Doctor Photo can manually edit your photos to give them a facelift and they can even remove a car from your drive for better results.
Doctor Photo will not only improve the weather, but in this photo from Breaking Bad, they have removed Walt White’s Pontiac from his drive. [image enhanced by DCTR.co.uk]
There seems to be a life hack for everything these days! If this is all too much trouble then try facelifting your property images with artificial intelligence via a new service from Autoenhance.ai. Simply drag and drop your images into the web app and download the enhancement to make your images look like they were shot on the best day of summer. The process only takes seconds.
Try this out at www.autoenhance.ai or watch this short video demonstration: https://www.youtube.com/watch?timecontinue=7&v=Qr92TS-xPNk&feature=emblogo
Try object removal out with dctr.co.uk
Follow us on LinkedIn to keep an eye out for the second part of this blog: https://www.linkedin.com/company/autoenhance-ai/
Zhang, Shunyuan and Lee, Dokyun and Singh, Param Vir and Srinivasan, Kannan, How Much Is an Image Worth? Airbnb Property Demand Estimation Leveraging Large Scale Image Analytics (May 25, 2017). Available at SSRN: https://ssrn.com/abstract=2976021. or http://dx.doi.org/10.2139/ssrn.2976021