Social Crawler
Twitter Analytics Tool
Meet the Team
Radu Minea - PM
radustefanminea@gmail.com
Gabriel Anica - TL
anicagabriel1@gmail.com
Letitia Olaru - FE Dev
letitia.olaru28@gmail.com
Parascovia Digori - QA
digori.parascovia@gmail.com
Luiza Ciudin - BE Dev
luizaciudin@gmail.com
Solution
Twitter analytics tool, tracking KPIs across dashboards.
Problem
Twitter significantly increased the price of its posts data API and placed a constricting rate limit on manually reading such data. Companies who wish to extensively analyze their Twitter content’s performance have no convenient way of doing so.
Value Proposition
Being independent of Twitter’s regulations.
Customer Segments
Differentiator
Most use the targeted Social Media Platform’s API. Since Twitter restricted usage of its API, it is unlikely most switched to a new, unrestricted way of accessing Twitter data.
Competition
Key
Metrics
Revenue Streams
Cost Structure
Problem Identification
Following Elon Musk’s Tweet regarding the Twitter API rate limiting restrictive updates (for example, limiting a verified account to reading 6000 posts per day), traditional Twitter analytics relying on the API were no longer a scalable option.
Problem to Solution
A Twitter analytics tool, independent of its API, became necessary. Thus, we considered a solution based on web crawling.
Customer Discovery – Plan
Customer Discovery – Details
Reached out via email to the following:
Customer Validation Accession
We are ready to proceed to the Customer Validation stage, because we had some really full of hope interviews with people with hands-on experience to this domain, as you can see down below:
Interviews
Wireframe
Landing Page
User Persona
User Stories
Interview #1
Freelancer & Social media manager @Kaufland
Interview #2
Communication Specialist
Interview #3
Marketing specialist
Interview #4
Marketing specialist
Use Cases
After analyzing the data we gathered from our interviews, we discovered two main use cases for our application:
Interviews
Lead Generation and Collection
who had worked with social media and analytics before, while WhatsApp posts brought more personalized
engagement with a narrower audience.
with the greatest impact, namely Facebook groups.
originates from Facebook posts. Other platforms contribute to either referral or direct traffic, influenced
by browser and app privacy policies, as well as operating system settings.
Market Research
Minimum Viable Product - MVP
Functionalities
First Sale
Groups posts
Users Conversations
Received Feedback
Leads Follow-up Email