App to manage LinkedIn Leads For Attention Seeker
Executive Summary
About Client
Attention Seeker is a digital influence agency based in Auckland which specializes in Personal Branding and LinkedIn Marketing. They help B2B customers with lead and revenue generation through the art of storytelling. They use LinkedIn as the main platform for generating leads for thier clients. Some of their other services are Content Marketing and Events Marketing.
https://www.theattentionseeker.com/
Location: Auckland, New Zealand
Project Background
Linkedin App to Manage leads contacted using Linkedin Network.
Attention Seeker came to Peritos with a requirement of developing a customized third party custom LinkedIn app. Their main motto was to manage the leads coming in via LinkedIn and get a consolidated view of the leads in a single page. There was also a dashboard view to show the number of connections and invitations sent during the program.Â
Scope & Requirement
In the 1st Phase of the app, implementation was discussed as follows:
- An app which the user can login and see the data and dashboard in a central place to understand the leads being generated and get a consolidated view
- User’s profile was integrated to fetch the connections and invitations sent and then using the list marking the leads which are qualified for the next levelÂ
- Whenever a lead was marked the user was notified via email so they could take over and do the follow up action needed.Â
Implementation
Technology and Architecture
TechnologyÂ
The web app was deployed with the below technological component
• Backend Code: .NET Core, C#, Node.js
• Mobile App code: React Native
• Web App code: ReactJSÂ
• Database: SQL Server, MongoDB
• Cloud: Microsoft Azure
Integrations
• Migration from an on-premise database to Online Student, Teacher, Subject database
• Single Sign-on using Auth0
• Sendgrid
Security:
• Data Encryption
• Multi-Factor Authentication for Admin, Teacher, and students when logging in
• All API endpoints are tokenized
Backup and Recovery
Cloud systems and components used in the attendance management system are secure and 99.99% SLA. We have added HA/DR mechanism to create a replica of the servicesÂ
Scalability
Application is designed to scale up to 10X times the average load received in the 1st 6 months of its usage and all cloud resources are configured for auto-scaling based on the load
Cost OptimizationÂ
Alerts and notifications are configured in the attendance management system to notify if the budget is being exceeded. Peritos being a cloud partner is managing the environment for the client keeping a close watch on the cost and finding ways to optimize the sameÂ
Code Management, Deployment
Code for the app is handed over to the client through Microsoft AppCenter.Â
CI/CD is implemented to automatically add, build and deploy any code changesÂ
Features of App to manage linkedIn leads
- For logging in user can do a single sign on using LinkedIn Account
- AttentionSeeker can mark one of the invitations or connections sent as lead which then sends a notification to the user so they could follow up with the leadÂ
- A dashboard view of how many connections were sent and accepted shown over days . Months and custom Time periodÂ
- User was able to add other users, clients and admin on the portal
Challenges
- To transfer the data from the LinkedIn app was a challenge as the APIs were not available.
- We had to use UI Path instead.
- We needed the authentication to be stored centrall but it had to be encrpypted so it is not misused.Â
- Data was stored in a UIpath Key store where after storing it was not visible.Â
Project Completion
Duration
April 2020 – Sep 2020 ~ 6 monthsÂ
Deliverables
- Delivered a Web App which smoothly automates and manages the leads for each of AttentionSeeker clients ensuring the data gets stored in the app and the client can see the progress made by the Attention Seeker team thus saving time to have frequent calls to update them on the progress.Â
- A customized design of the app was discussed with the client
- Training and handover in using the app and explaing how the users and other clients can be easily onboarded.Â
Support
As part of the project implementation we provided 1 month of extended support. This includes any Major / Minor bug fixes. We also provided them a few months of extended support.Â
Testimonial
We did not get a documented feedback from the client for using the appÂ
Next Phase
Project ended and we helped client to move to a support model
1. Ongoing Support for the management of the app and answer any how to questionsÂ
2. Make sure that the UI Path continues to run smoothly and uploads the end user data on the appÂ
3. Integrate new features and bug fixes to ensure that the product delivers results