Financial App User Growth

Project Background

SUPERTRANGO's client is a leading internet finance platform focused on consumer credit products for young white-collar professionals. Over the past two years, the platform had been running continuous campaigns on mainstream feed channels, but registration costs remained stubbornly high. The marketing team found that under traditional投放 models, creative lifespans were extremely short—click-through rates typically decayed by more than 40% within three days of launch. Targeting logic relied on manual experience, creating a clear lag in capturing emerging traffic scenarios. In Q3 2024, the platform made "reducing registration costs and improving new customer conversion efficiency" a core OKR for the growth team.

Core Challenges

Before the project launched, the client faced three specific pain points:

• Coarse targeting: Relying only on basic demographic attributes plus interest tags made it impossible to identify users' real-time financial need scenarios. For example, a user who just received a credit card bill versus one who just got approved for a mortgage have vastly different willingness to respond to credit products—but the existing targeting system couldn't tell them apart.
• Creative fatigue: The投放 team manually produced over 30 creative sets per week, but lacked an intelligent optimization mechanism based on real-time feedback. A large portion of budget was consumed by declining creatives with click-through rates below 0.8%.
• Conversion drop-offs: In the registration flow, going from ad click to completed registration required an average of 3 page jumps. Mobile load times exceeded 4 seconds, and roughly 35% of intent users dropped off in the intermediate steps.

Solution

SUPERTRANGO deployed its "GEO Engine growth engine" for the client, restructuring the campaign funnel across three dimensions:

1. Intent targeting upgrade: We integrated the client's first-party data (including anonymized user browsing behavior, billing cycles, and historical loan records) with SUPERTRANGO's third-party scenario database to build 27 "real-time financial need" prediction models. For example, if a user frequently visits automotive content pages over the past 3 days, the system automatically matches them to a dedicated "car purchase installment" landing page.
2. Dynamic creative factory: Using GEO Engine's generative creative module, we broke down product benefits into over 40 content atoms (interest rates, disbursement speed, credit limits, repayment flexibility, etc.), then combined them in real time based on user profiles to generate personalized ad copy and visuals—achieving thousand-person, thousand-face creatives at the individual user level.
3. Conversion path acceleration: Through SUPERTRANGO's lightweight landing page technology, we compressed the registration form from 7 fields to 3 and used pre-fill technology to reduce manual input. At the same time, we cut the average number of jumps from ad click to successful registration from 3 down to 1.5, and kept page load times under 1.8 seconds.

Execution Highlights

The project ran for 6 weeks total: the first 2 weeks were model training and calibration, and the final 4 weeks were full-scale rollout. The most critical breakthrough came in week 3: GEO Engine identified that "users with recent large e-commerce purchases during the 22:00–24:00 nighttime window" responded to "temporary cash flow" creatives at 4.2 times the rate of regular audiences. The operations team immediately adjusted budget allocation, raising the bid coefficient for that time slot to 1.5x, paired with dedicated copy: "Order tonight, funds arrive tomorrow." Daily registrations increased 65% week-over-week.

Another highlight was the creative self-optimization mechanism. The system automatically shut down creative combinations with click-through rates 30% below threshold each week and shifted budget to high-potential creatives in real time. During execution, average creative lifespan extended from 3 days to 9 days, and the cumulative conversion contribution per creative set increased 2.8 times.

Results

After a complete 6-week campaign cycle, the client achieved a leap in registration conversion rate. Here are the core project results:

Key Takeaways

This collaboration validated a core insight: registration conversion for financial products is fundamentally a question of how efficiently you respond to "the urgency of a user's current need." Traditional投放 relies on static tags, while GEO Engine refines need identification from the "person" dimension down to the "moment" dimension. For financial industry clients, we recommend focusing on two things: first, reserve sufficient model training budget in the early data integration phase—don't chase ROI too early; second, dynamic creative landing pages must maintain high consistency with ad messaging, as any benefit-point mismatch will cause a noticeable regression in the conversion funnel. The client has now expanded SUPERTRANGO to three new business lines—credit cards, wealth management, and more—and plans to introduce GEO Engine's smart bidding feature next quarter.