Based on research released by Telsyte, the Australian group buying market is on track to exceed $400 million in industry revenue this year.

And to take advantage of this exponential growth, group buying aggregators are launching left, right and centre.

DealFetch has launched the first location-based group buying aggregator, combining deals from the 10 largest group providers In Australia sorting them by category and adding geo-location data to each deal.

Stas Belkov, DealFetch co-founder, said DealFetch will allow consumers to receive just one email per day with deals tailored specifically to their interests and whereabouts instead of being bombarded with all the different group buying sites.

“We created this service as a way for Australians to easily navigate the group buying landscape, while improving the customer buying experience. There are some amazing deals on offer, but all too often people receive deals that don’t apply to them, or are located too far away,” he said.

 “I think localisation is the future of group buying, together with niche operators that are able to specialise in one category of deals, and do it well. By getting local, consumers will benefit by discovering new and interesting services close to their neighbourhood. This helps to encourage repeat business, improving the effectiveness of group buying promotions for merchants.”

At the same time, The Dealer is also another new player, which also matches the users’ locations and interest with relevant deals.

Founder Morris Bryant said the group buying sites have created the need for aggregates because they overload their users.

“There are sites out there with similar offerings, but I think the focus so far has been on mass: cram as many deals on the page as possible. That's the same idea that’s driving users away from deals sites in the first place,” he said.

“We wanted to move away from that and put the focus on customisation: we only want to show users deals that they actually might want.

“We’re now planning the second phase which will include the email function and user modelling, which will allow us to further refine the offering to each individual user.”