Affiliate Program and Recommendation Dashboard for Extra Service

[krisnaBukitVista]

Description

• This project aims to create a structured affiliate program and a robust Recommendation Dashboard for Gaia. The dashboard will manage, track, and optimize the recommendations for events, restaurants, places, and other services.
• With this tool, we aim to increase engagement and conversions for each recommendation, ultimately setting up a monetization strategy through commissions and paid promotions.

Problem

• Currently, Gaia’s recommendation platform lacks a formalized strategy. All recommendations are populated on a voluntary basis, and there is no clear mechanism for tracking engagement or conversion rates.
• As a result, there is no effective way to measure the impact of recommendations or improve them to drive more value to Gaia users and potential partners.

Solution

We propose the development of a Recommendation Dashboard that will manage and track all recommendations systematically. The dashboard will show:

Recommended Rate

The dashboard will display how frequently each extra service (e.g., events, restaurants, places) is recommended to guests. This data will allow us to monitor the recommendation frequency for different services, ensuring a balanced distribution and optimizing how often each service appears to users based on performance and engagement.

Engagement Rate

The dashboard will track the percentage of guests who respond to our recommendations. This will be measured through actions such as clicking on a recommendation, making a booking, or purchasing a service. Tracking the engagement rate will help us understand how well the recommendations are resonating with guests.

Recommendation Performance

The dashboard will provide a detailed analysis of each recommendation's performance, identifying the most and least favored recommendations based on user interactions and conversion rates. This data will be crucial for refining our recommendation strategy and prioritizing high-performing services.

Click Rate Insight

• To complement the engagement rate, the dashboard will also include insights for the click rate—tracking how many users click on a recommendation. This is important as not all interactions will lead to an immediate response or booking, but click rates give a better understanding of initial user interest.
• We will establish a uniform link format across all recommendations, allowing us to easily extract and analyze data. This standardization will ensure that tracking and conversion measurement are streamlined and efficient.

Measurement metrics

• The dashboard is fully functional and operational.
• The dashboard provides accurate and reliable data, including the recommended rate, engagement rate, and recommendation performance, with minimal discrepancies or data lags.

SLA

• The dashboard must be operational daily
• The dashboard will deliver accurate and real-time data
• All metrics, including recommended rate, engagement rate, and recommendation performance, should be updated within a 24-hour timeframe to maintain real-time accuracy.

[krisnaBukitVista]

kak ghani's feedback (implemented)

• need one more insight for click rate, because not everything can be measured by responding rate
• create uniform link to be extracted
• coordinate with president of ops to collect conversion ratio