This document discusses growth hacking analytics and GBG's presentation. It covers collecting data from sources like Amazon annual reports and Bloomberg to track company growth and valuation trends over time. The main topics are 1) data collection, 2) data presentation, and 3) data-driven decision making. Examples of data collection tools mentioned are Google Analytics, Crazyegg and Bigquery. Data presentation examples include KPI dashboards and A/B testing tracking. The goal is to use analytics to spot and optimize problem areas, analyze customer retention and segments, and make business decisions informed by data.
4. 4
N?I DUNG CH?NH
1. Data collection
2. Data presentation
3. Data-driven desicion
5. |
1
RETENTION
ANALYSIS
SEGMENTATION &
INDIVIDUAL LEVEL
ANALYSIS
FUNNEL
ANALYSIS
Spot & Optimize Key Problem Areas
? Where you lose customer?
? Why you lose customer?
? A/B testing
Stay On Top of Customer Retention
? How customer comes back
? And how long?
? Manage LTV ¨C lifetime customer
value
Find Your Best Performing Customer Segments
? Which type of customer perform the best
? Optimize your CAC ¨C customer acquisition cost
? Watch and learn real-time
? Answer usability question
1. Data collection
What to collect
6. |
1. Data collection
? Google Analytics, Crazyegg, Bigquerry,...
? Rawdata
How to collect