Benjamin O’Brien__Zaid Bajaria__Ahmet Gungor__John Berger__David Mazzella__ Zachary Hosch

Project Visualizations

Project Visualizations

Project Visualizations

Project Visualizations

Social Media

● Connect through Facebook

● Connect, post photos, and share through Instagram

● Check-In feature

● Add additional locations

Opinions Section

● Star rating system (1-5)

● Comment on activity locations

● Review of activity locations

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Product/Price

● An innovative app & easy UI

● Familiar map interface

● Serves to help find activity centers, venues, etc. near you

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● Free in app store & gain Ad generated revenue

● Calculated estimates by RPM which is per 1000

● RPM = (Estimated earnings / Number of impressions) * 1000

Product

Price

Place/Promotion

● Initially the app will be in Apple iOS store exclusively

with future plans to move into Google Play Market.

● Social Media will be the key point of focus for promotion

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● Mixing in traditional marketing processes and targeting

advertisements in gyms

● Data shows that word of mouth was the most

common way for people to gain information on new

places for activities

Place

Promotion

The App Market

● Ever-changing trends

● Discovering needs that you weren’t aware of

● Tap-to-buy

● Product life cycle is mainly based a few properties

● Low risk

● No barriers to entry

Competition

“Oh Ranger! Park Finder”

● Locate and find national parks, forests, public parks

● Funded well, functional, good ratings

● Poorly advanced searches, superficial information

● Excludes distance and direction information to nearby parks

Questions to explore

● How can we make it convenient to find activity facilities?

● Why Dallas is not active?

● How are we going to address this problem?

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● Expanding the app location coverage

● Strengthen the customer base to reach those that couldn’t be initially

● To further develop the app...

Ultimate Goals

● Excel file, aggregated and listed attributes of

each answer

● Imported data into Tableau by connecting to Excel

file in real-time

● Had to create a calculation field:

[Number of records] /1.52

● Designed the tables and charts in Tableau

Data Acquisition

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Survey Data at a Glance

● 152 surveys were submitted in total

● 77 respondents (50.7%) identified as male, 71 (46.7%) as female, and 4

(2.6%) as other.

○ Of the other, three identified as ‘Agender’ and the fourth was ‘Gender Fluid’.

● For age, 44 responses were in the 15-19 demographic, 53 in the 20-24,

and 30 and the 25-259, making 83.5% of respondents falling in the 15-29

age groups.

● 100 out of 152 said they considered themselves physically active (65.8%

yes vs. 34.7% no)

Data Visualizations

Data Visualizations

Data Visualizations

Data Visualizations

Data Visualizations

Data Visualizations

Problems of the Data

● Misrepresentation of the US population -- 83.5% vs. 20.8%

for ages 15-29

● Non-local responses from survey

● Some responses expressed issues that are not easily solvable

● Solving the ‘time’ issue

Findings from the Data

● For issues preventing activity other than time (115 responses), Scheduling for activities and events was second at 52 and Lack of companions after that at 46○ 4 people currently participate in Frisbee and 15 people wish to participate in

Frisbee. Of the 15, 8 list lack of companions as an issue

● There were 34 unique activities for current participation as opposed to only 22 unique activities that people wish to participate in. 18 activities appeared once in current activities as opposed to 6 activities that had only one person that wished to be active in it.

● Of the four individuals who identified as ‘other’ for gender, 3 out of the 4 listed Lack of Proper facilities as an issue preventing them from being active

● Word of mouth was most popular method people learned of facilities appearing 77 times. In contrast, internet search came at 49 and advertising appeared only once.

Recommendations

● Social aspect is extremely important not only in gathering individuals

together to facilitate in activity participation but to also aid in potential

marketing through word of mouth.

● Event finder to allow people to make the most out of their time

● Relevant advertisements in app to help people find physicians, trainers,

etc.

● Categorization tools to help people find what they need by location,

price, availability, and so on.

Conclusion

● Activity finder app

● Extensive check-in with a profile system

● Search engine with aggregate display

● User-generated input

● As long as the app is flexible, we can tailor it.

Limitations and Improvements

● Significant obstacles that we can’t directly address (time and money)

● Not so clearly defined target segments

● Correct time to publish the app

● Hard to administer community-based information

● Grouping component