BIA/Kelsey: Deals 3D Conference July, 2011
National in-store deals From brand retailers, restaurant chains, & more Local daily deals From 350+ unique daily deal sour...
Changing the way people shop locally Helping people find deals at  local businesses  as easily as they can at  online stor...
The leading platform for sourcing & distributing local deals
Inventory market share dominated by top sites Rule 80 / 20  Source:  The Dealmap DealExchange, n = 350
80% = 20  Inventory Sources Inventory market share dominated by top sites Source:  The Dealmap DealExchange, n = 350
69% = 10  Inventory Sources Inventory market share dominated by top sites Source:  The Dealmap DealExchange, n = 350
40% = 2  Inventory Sources Inventory market share dominated by top sites Source:  The Dealmap DealExchange, n = 350
6.25 Average inventory per source Average deal inventory per day is still modest Source:  The Dealmap DealExchange, n = 350
1.29 Median inventory per source Half of sources only have 1-2 deals per day Source:  The Dealmap DealExchange, n = 350
Few sources have cast a wide coverage net Source:  The Dealmap, n = 410 “tracked” sources Percent of daily deal providers ...
Opportunity for more verticals? Percent of deal sources by category Source:  The Dealmap, n = 410 “tracked” sources
Inventory by city: a day in Chicago Long tail improves consumer choice dramatically Top 2 deal sources Aggregated sources ...
Consumers are searching for a wide variety of deals Source:  The Dealmap DealExchange, n = 450 Consumer deal searches
Shopping over-indexes on mobile Consumer deal searches, mobile Source:  The Dealmap DealExchange, n = 450
Publishers & developers building more mobile apps Source:  The Dealmap DealExchange Deal apps by channel
Fun fact: Source:  The Dealmap, n= 410 “tracked” sources ? Nearly 5% of sites have animal-related names
 
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The Dealmap - Bia/Kelsey: Deals3D Presentation

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The Dealmap presentation at BIA/Kelsey conference. Covers consumer trends and local deals industry data.

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  • Use as set up for source of data: Following data based on daily deals (350 sources) Usage across branded products and distribution network
  • Give background on data source 350+ daily deal sources 3,000 avg. daily deals Across the U.S., not just top markets Although there have been hundreds of entrants to the space, inventory is still dominated by the top sites
  • 2,500 avg. daily (daily) deals Across the U.S., not just top markets Long tail
  • Hard to scale Mean we won’t see proliferation of more smaller sites? Expect more entrants (we get 5-10 emails a week about new sites), but existing sites will continue to expand Consolidation as players look to expand coverage Larger sites w/national footprint (but not deals footprint; e.g. Google, Facebook, ATT etc.) will move to the left Looking at individual deal publishers, not networks. Opportunity for platforms and syndicates to give Still opp for smaller players who “have local knowledge” and in secondary markets
  • Explain what mass market is What cats in “other” Big opp for verticals still; more verticalization and audience targeting; opp to differentiate
  • While top 2 sources dominate inventory throughout the U.S., other players add choice in larger markets Both the absolute number and selection goes up
  • Consumers want choice Highlights need for personalization
  • Shopping indexes higher; out at mall looking for deals Health & beauty Dining smaller b/c
  • 500 developers using platform Mobile growing as share of apps Can’t think of mobile as an app by itself however; it’s increasing integrated into all channels and growing: 39% of our social media clicks are on mobile; b/w 10-20% of email clicks from mobile Highlights need for mobile experience optimization; email is a key revenue driver for the industry – if 10-20% of your email clicks are from mobile, how much money are you leaving on the table?
  • End on lighthearted note In the course of our research, we noticed the daily deals industry has an interesting affinity for animals
  • The Dealmap - Bia/Kelsey: Deals3D Presentation

    1. 1. BIA/Kelsey: Deals 3D Conference July, 2011
    2. 2. National in-store deals From brand retailers, restaurant chains, & more Local daily deals From 350+ unique daily deal sources “ Store window” deals Posted by individual local businesses or consumers We organize and map many deal types into a uniform experience: Changing the way people shop locally Helping people find deals at local businesses as easily as they can at online stores 1 2 3 More than $10MM in savings each day
    3. 3. Changing the way people shop locally Helping people find deals at local businesses as easily as they can at online stores <ul><li>In just 1 year, we grew to: </li></ul><ul><li>2MM+ cross-channel users </li></ul><ul><li>1MM+ mobile users </li></ul><ul><li>75MM+ monthly deal searches </li></ul><ul><li>85MM+ network reach </li></ul>0 – 1 MM Users Faster Than Twitter
    4. 4. The leading platform for sourcing & distributing local deals
    5. 5. Inventory market share dominated by top sites Rule 80 / 20 Source: The Dealmap DealExchange, n = 350
    6. 6. 80% = 20 Inventory Sources Inventory market share dominated by top sites Source: The Dealmap DealExchange, n = 350
    7. 7. 69% = 10 Inventory Sources Inventory market share dominated by top sites Source: The Dealmap DealExchange, n = 350
    8. 8. 40% = 2 Inventory Sources Inventory market share dominated by top sites Source: The Dealmap DealExchange, n = 350
    9. 9. 6.25 Average inventory per source Average deal inventory per day is still modest Source: The Dealmap DealExchange, n = 350
    10. 10. 1.29 Median inventory per source Half of sources only have 1-2 deals per day Source: The Dealmap DealExchange, n = 350
    11. 11. Few sources have cast a wide coverage net Source: The Dealmap, n = 410 “tracked” sources Percent of daily deal providers by number of markets covered
    12. 12. Opportunity for more verticals? Percent of deal sources by category Source: The Dealmap, n = 410 “tracked” sources
    13. 13. Inventory by city: a day in Chicago Long tail improves consumer choice dramatically Top 2 deal sources Aggregated sources Source: The Dealmap DealExchange,
    14. 14. Consumers are searching for a wide variety of deals Source: The Dealmap DealExchange, n = 450 Consumer deal searches
    15. 15. Shopping over-indexes on mobile Consumer deal searches, mobile Source: The Dealmap DealExchange, n = 450
    16. 16. Publishers & developers building more mobile apps Source: The Dealmap DealExchange Deal apps by channel
    17. 17. Fun fact: Source: The Dealmap, n= 410 “tracked” sources ? Nearly 5% of sites have animal-related names

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