Advanced Data Analysis and Empirical Research Methodologies - PIFit
Preferred learners
- Anywhere
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
Pifit (Paying It Forward) is a patent-pending app focused on delivering digital advertising to users in a new interactive manner. Designed as a Not For Profit, we have created a complete wall garden platform. Utilizing the profits from advertising campaigns creates a monetary value, an Instant Cash Discount (ICD) for our users. Ads are delivered to users’ devices upon their request by scanning the Pifit logo at a merchant store. Each ad is framed with a $$VALUE amount for the ICD which users can apply to their immediate purchase at the merchant store. One can think of the ICD as compliments of the advertiser to the user.
Campaigns are run on a cross-platform, meaning the merchant location where the ad appears is not related to the actual advertiser. PIFit is essentially a B2B2C APP that confirms the viewing of digital content.
Our Live Dashboard completely tracks every aspect of each ad campaign and user’s actions. We are seeking to micro-analyze the process by populating it with individualized ad campaigns, mixed campaigns representing more than one advertiser and then assessing that data. The objective is to find any ceiling capacity or challenges in the system.
More specifically (1) see how many campaigns can be run consecutively and simultaneously - is there a ceiling? (2) what is the best modelling to use to monitor the campaigns in real time
What's involved:
- Conduct background research on existing or comparable models.
- Identify key data areas of the campaign from inception to implementation.
- Forecast modelling based on a spread of 20% $3 30% $2 50% $1
- Using assumption and risk models calculate if there is a breaking point.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should complete the following list of activities:
- Familiarize themselves with Pifit concept.
- Compile a design flow of multiple campaigns running consecutively
- Design modelling to monitor the campaigns unfolding in real time
- Exponentially increase the flow of campaigns
- Calculate any identifiable risk or breaking points
Bonus steps would include:
- Increasing or decreasing the ad quantity formula while identifying any benefits
Final deliverables should include:
- A presentation on the finding in a shareable format.
- Feedback on the modelling stability as campaigns increase
- Which formula was most favourable
- What is the main goal for this project?
-
Pifit (Paying It Forward) is a patent-pending app focused on delivering digital advertising to users in a new interactive manner. Designed as a Not For Profit, we have created a complete wall garden platform. Utilizing the profits from advertising campaigns creates a monetary value, an Instant Cash Discount (ICD) for our users. Ads are delivered to users’ devices upon their request by scanning the Pifit logo at a merchant store. Each ad is framed with a $$VALUE amount for the ICD which users can apply to their immediate purchase at the merchant store. One can think of the ICD as compliments of the advertiser to the user.
Campaigns are run on a cross-platform, meaning the merchant location where the ad appears is not related to the actual advertiser. PIFit is essentially a B2B2C APP that confirms the viewing of digital content.
Our Live Dashboard completely tracks every aspect of each ad campaign and user’s actions. We are seeking to micro-analyze the process by populating it with individualized ad campaigns, mixed campaigns representing more than one advertiser and then assessing that data. The objective is to find any ceiling capacity or challenges in the system.
More specifically (1) see how many campaigns can be run consecutively and simultaneously - is there a ceiling? (2) what is the best modelling to use to monitor the campaigns in real time
What's involved:
- Conduct background research on existing or comparable models.
- Identify key data areas of the campaign from inception to implementation.
- Forecast modelling based on a spread of 20% $3 30% $2 50% $1
- Using assumption and risk models calculate if there is a breaking point.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should complete the following list of activities:
- Familiarize themselves with Pifit concept.
- Compile a design flow of multiple campaigns running consecutively
- Design modelling to monitor the campaigns unfolding in real time
- Exponentially increase the flow of campaigns
- Calculate any identifiable risk or breaking points
Bonus steps would include:
- Increasing or decreasing the ad quantity formula while identifying any benefits
Final deliverables should include:
- A presentation on the finding in a shareable format.
- Feedback on the modelling stability as campaigns increase
- Which formula was most favourable
Supported causes
About the company
- https://www.pifitapp.com
- 2 - 10 employees
- Business services, Consumer goods & services, Public relations & communications, Hospitality, Marketing & advertising
Our company is designing a native mobile app prototype for PIFit - a concept that enhances customers' retail experience while changing how digital advertising is delivered to the end-user.
Pay It Forward™ (PIFIT) is a patent-pending app that innovates advertising and shopping by allowing users to interact with ads (digital content), resulting in the end-user receiving an instant cash discount (ICD) on their purchase.
Driven as a multi-brand cross-promotion platform, PIFit is essentially a B2B2C App. The non-invasive approach to delivering and viewing digital content gets 100% confirmed interaction.