I could talk for hours about this chart. TV, retail, social, ecommerce, Amazon, wal-mart, machine learning...pic.twitter.com/BnGkWopcW1
we can only see what we think is possible...
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| Country | Code | For customers of |
|---|---|---|
| United States | 40404 | (any) |
| Canada | 21212 | (any) |
| United Kingdom | 86444 | Vodafone, Orange, 3, O2 |
| Brazil | 40404 | Nextel, TIM |
| Haiti | 40404 | Digicel, Voila |
| Ireland | 51210 | Vodafone, O2 |
| India | 53000 | Bharti Airtel, Videocon, Reliance |
| Indonesia | 89887 | AXIS, 3, Telkomsel, Indosat, XL Axiata |
| Italy | 4880804 | Wind |
| 3424486444 | Vodafone | |
| » See SMS short codes for other countries | ||
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I could talk for hours about this chart. TV, retail, social, ecommerce, Amazon, wal-mart, machine learning...pic.twitter.com/BnGkWopcW1
1/ TV viewing is unstable. So where does it go, how fast, how much more is it concentrated, with what ad load and what ad rates?
2/ Retail is unstable. Retailer ad budgets vanish, but what about product ad budgets? As you go online, you buy different things...
3/ If Amazon subscribes you to 'soap', what happens to Tide's $150m annual ad budget? What ad budgets might shrink, or move to marketing?
4/ I suspect that for Jeff Bezos, ad spend is dust in the warehouse. Kaizen says you don't clean it up - you remove the source of waste
5/ if I can wave my phone at my fridge and get recipes, or at my living room and get decor ideas, what happens to retail & advertising?
6/ That is, machine learning and computer vision offer scope to move ecommerce past retail-as-logistics and into retail-as-recommendation
Benedict, great points sir! My thesis #VoiceCommerce will allow for brands to reach consumers directly. "Order Tide" becomes an opportunity
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