This article is adapted from an interview by DataYuan
The First Step in Fine-Grained Operations Link to heading
The first step for internet companies in fine-grained operations is to constantly pay attention to users and analyze their behavioral data, including acquisition, activation, conversion, retention, and repurchase.
The Full User Lifecycle Model Link to heading
Based on this, Zhuge.io has developed the user-centric UTSE model for the entire user lifecycle, which connects data from ad placements to online platform visits and business systems (customer service, CRM).
We have further enhanced our data collection, analysis, and optimization features for marketing scenarios:
- Ad Monitoring
- Deepshare Mobile Promotion
- SEM Campaign Optimization
- Smart Engagement Platform
Smart Engagement: A Combination of Two Dynamics Link to heading
“The ‘dynamic combination’ of data and business can unleash the greatest power.”
The first dynamic combination: A user lifecycle data analysis platform that enables data-intelligent decision-making for everyone in the enterprise.
The second dynamic combination: Smart engagement, which achieves automated data optimization.
Smart Engagement Case Study: Xiangshang Finance Link to heading
Xiangshang Finance designed many trigger rules using Zhuge.io’s Smart Engagement Platform to target a select group of users who meet specific criteria, achieving precise engagement.
For example, sending an SMS with a novice-friendly investment product to users who haven’t linked their bank card within 24 hours of registration:
- Linking a bank card is an expression of trust in the brand and the first step toward making an initial investment.
- The 24-hour time limit is set to a period that is convenient for the user.
- No extra operational costs are spent on users who have already linked their cards.
“Automated marketing operates on a scale of seconds, minutes, and hours. The essence of smart engagement is to automatically trigger rules for recall, activation, and retention based on each user’s unique context.”
Data-Driven Mindset: The Way and the Method Link to heading
To achieve fine-grained operations, companies need a “data-driven mindset,” which involves two aspects:
1. Business Mindset Link to heading
The business logic behind the operations. This isn’t just for the boss to consider; every employee, regardless of their position, needs to re-examine their work from this perspective. Business improvement can only be achieved by unlocking the value of data.
2. User-Centric Mindset Link to heading
Being truly user-centric. In many companies, employees only think about how to meet the KPIs set by their boss. “Being user-centric” is often just a verbal expression and not implemented in their daily work.
“A data-driven mindset is the ‘way’ (the Tao), and the product is the ‘method’ (the Shu). Having both is essential to truly achieve data-driven business growth.”
On Being Pragmatic Link to heading
Zhuge.io is relatively low-key, especially regarding fundraising. Its previous funding rounds were not publicly announced.
In reality, it’s not that Zhuge.io is too low-key, but that the overall environment is too high-profile about fundraising events. Many entrepreneurs exaggerate their funding amounts to get more exposure and higher valuations.
Zhuge.io is a pragmatic company. Our original intention is to build a first-class product that brings value to business growth.
Original article link: Interview with DataYuan