a mobile website that lets you transact with any business v ia text messaging

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Thru .im. A mobile website that lets you transact with any business v ia text messaging. David@Thru.im Chad@Thru.im Ca lvin@Thru.im. W ho we are. David Spiro BBA ‘12 : Biz Strategy Chad Stark BBA ‘11 : Marketing and Sales Calvin Gee CSE ‘12 : Web Dev. and Design - PowerPoint PPT Presentation

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Thru.im

A mobile website that lets you transact with any businessvia text messaging

David@Thru.imChad@Thru.imCalvin@Thru.im

Thru.im

1Intro each person. Our company thru.im is a mobile site that lets you text any business1Thru.imWho we areDavid Spiro BBA 12: Biz StrategyChad Stark BBA 11: Marketing and SalesCalvin Gee CSE 12: Web Dev. and DesignCheng Chen CSE 12: Backend Dev. and iOS

Together we were in Techarb, published business plans, brought several apps to market, generated $500k with a previous company, sold software to a medical center, and raised $15k from UMICH2As a team, we are well balanced having 2 bba seniors and 2 cse seniors. Our skills are complimentary and together 2People run their social lives through text conversations but when trying to transact with a business, we have to pick up the phone and callThru.im3And thats where thru.im comes in.3Thru.imNielsen surveyed 60k mobile users aged 13-24...Average 13-24 year old sends 3,000 text messages per month4Not being able to text businesses and having to make phone calls is a huge pain for people like me and other generations that grew up on text. We only use text in our social lives. To give you guys, the judges perspective, Nielsen surveyed 60k mobile users aged 13 24 and found that the average texter sends 3000 per month. Now 78% of these people recognize the functionality and convenience of texting, considering it easier (22%) and faster (20%) than voice calls. All of this has come at the expense of voice; voice activity has decreased 14 percent.

Should we include the graphs?

4Thru.imNielsen surveyed 60k mobile users aged 13-24...Voice activity within this demographic decreased 14 percent last year5Not being able to text businesses and having to make phone calls is a huge pain for people like me and other generations that grew up on text. We only use text in our social lives. To give you guys, the judges perspective, Nielsen surveyed 60k mobile users aged 13 24 and found that the average texter sends 3000 per month. Now 78% of these people recognize the functionality and convenience of texting, considering it easier (22%) and faster (20%) than voice calls. All of this has come at the expense of voice; voice activity has decreased 14 percent.

Should we include the graphs?

5Thru.im

66We charge businesses a % of sales We sell search and conversation data We serve targeted ads to our usersThru.im77Thru.imCurrent industryCurrent Industry

8End users/businesses/bt problems/benefits/evidence/

Is this why people will use it or why customers will pay? Do we have time to include both? Can leave some for q and a8Thru.imIndustry with usIndustry w/ Thru.im

9End users/businesses/bt problems/benefits/evidence/

Is this why people will use it or why customers will pay? Do we have time to include both? Can leave some for q and a9$Behavioral Data + $Transactions=Google Launched 12 years ago:20% (Googles annual Data Rev from 365B searches = $28.0B) = Data Rev driven by #Searches for businesses5% (Searches for businesses) = #Transaction w/ businesses$10 avg. order with 5% referral commission= Thru.im max potential value 12 years after launch, growing at an s curve rate=20%*($28.0B)+ 5%*(365B*20%)*($10)*(5%)= $7.4B per year in year 12Thru.imTotal Market Value1010Googles margin is 30% on data mining activities

BE = ($10employee/hour)/(.8transactions*$10order*5%commission) = 25 transactions/hour

We will exit in 8 years for $860M based on an IRR of 103%Thru.imMargin, Break Even, and Exit1111Target 18 24 year olds Private beta in Ann Arbor Raise money and scaleThru.imMarket Entry Strategy12Google initially rolled out their service strictly to geographic regions with a high concentration of academic institutions like high schools, colleges, and universities, because Google bet that people aged 13 24 would be most likely to use their service. They then targeted the same age group across the USA and then the world, and eventually people outside the age and region demographics became users. We will follow a similar segmentation strategy to Googles in that our app targets 13 24 year olds in geographic regions with a high concentration of academic institutions because these people/regions are most likely to have grown up on text messaging in their social lives; they are most likely to need a service that lets them reach businesses how they reach their friends and family.

We will initially focus on BIG TEN college towns because the founders of Thru.im are students at the University of Michigan and have friends at other BIG TEN schools. Like Google started with a small set of features, we will initially only work with restaurants because students tend to speak to restaurants more than any other type business. Additionally, most conversations with restaurants result in sales (i.e. pick up and delivery orders), which gives us a direct path to revenue. Once we have a critical mass of users who appreciate the value of texting businesses, like what Google did, we will introduce other use cases of our app to our users. For example, we will introduce the ability to buy movie tickets and check showtimes, make haircut appointments, and check inventory at a store.

12Knowledge of the spaceSuccess selling to young generationsExisting chat software Contact center automation softwareThru.imProprietary Elements13Google initially rolled out their service strictly to geographic regions with a high concentration of academic institutions like high schools, colleges, and universities, because Google bet that people aged 13 24 would be most likely to use their service. They then targeted the same age group across the USA and then the world, and eventually people outside the age and region demographics became users. We will follow a similar segmentation strategy to Googles in that our app targets 13 24 year olds in geographic regions with a high concentration of academic institutions because these people/regions are most likely to have grown up on text messaging in their social lives; they are most likely to need a service that lets them reach businesses how they reach their friends and family.

We will initially focus on BIG TEN college towns because the founders of Thru.im are students at the University of Michigan and have friends at other BIG TEN schools. Like Google started with a small set of features, we will initially only work with restaurants because students tend to speak to restaurants more than any other type business. Additionally, most conversations with restaurants result in sales (i.e. pick up and delivery orders), which gives us a direct path to revenue. Once we have a critical mass of users who appreciate the value of texting businesses, like what Google did, we will introduce other use cases of our app to our users. For example, we will introduce the ability to buy movie tickets and check showtimes, make haircut appointments, and check inventory at a store.

13Thru.imNext StepsComplete Prototype and proof of conceptPrivate beta test in Ann Arbor

National Launch14Google initially rolled out their service strictly to geographic regions with a high concentration of academic institutions like high schools, colleges, and universities, because Google bet that people aged 13 24 would be most likely to use their service. They then targeted the same age group across the USA and then the world, and eventually people outside the age and region demographics became users. We will follow a similar segmentation strategy to Googles in that our app targets 13 24 year olds in geographic regions with a high concentration of academic institutions because these people/regions are most likely to have grown up on text messaging in their social lives; they are most likely to need a service that lets them reach businesses how they reach their friends and family.

We will initially focus on BIG TEN college towns because the founders of Thru.im are students at the University of Michigan and have friends at other BIG TEN schools. Like Google started with a small set of features, we will initially only work with restaurants because students tend to speak to restaurants more than any other type business. Additionally, most conversations with restaurants result in sales (i.e. pick up and delivery orders), which gives us a direct path to revenue. Once we have a critical mass of users who appreciate the value of texting businesses, like what Google did, we will introduce other use cases of our app to our users. For example, we will introduce the ability to buy movie tickets and check showtimes, make haircut appointments, and check inventory at a store.

14MBC next round!$1M for scaleThru.imAsk15Google initially rolled out their service strictly to geographic regions with a high concentration of academic institutions like high schools, colleges, and universities, because Google bet that people aged 13 24 would be most likely to use their service. They then targeted the same age group across the USA and then the world, and eventually people outside the age and region demographics became users. We will follow a similar segmentation strategy to Googles in that our app targets 13 24 year olds in geographic regions with a high concentration of academic institutions because these people/regions are most likely to have grown up on text messaging in their social lives; they are most likely to need a service that lets them reach businesses how they reach their friends and family.

We will initially focus on BIG TEN college towns because the founders of Thru.im are students at the University of Michigan and have friends at other BIG TEN schools. Like Google started with a small set of features, we will initially only work with restaurants because students tend to speak to restaurants more than a