TL;DR
After an initial prototype, the lead magnet experience underperformed because it hid value, made access to subscribed recommendations cumbersome, and lacked diversity (making the product feel less credible).
I led an iteration cycle that improved:
- Access: faster path to subscribed recommendations
- Trust: clearer framing and credibility cues
- Variety: mix of Buy/Sell/Hold and categories to avoid “methodology leakage”
This case study is written from a Product Manager perspective and uses assumptions where exact numbers were not available for publication.
1) Context
Lead magnets are a conversion engine in fintech: they must communicate value + credibility in seconds and reduce friction to the “aha moment”.
Audience
- New users evaluating trust (“Is this credible?”)
- Existing subscribers looking for fast access (“Show me my picks.”)
2) Objective
Enhance user experience and improve engagement by addressing key issues identified after the first prototyping phase.
3) Problems → solutions (iteration plan)
| Problem | Solution | Action | Expected outcome |
|---|---|---|---|
| Cumbersome access for existing users | Provide easy access to recommendations | Add a snapshot entry point on the homepage | Streamlined access, improved retention |
| Low diversity of recommendations | Maintain credibility and unpredictability | Introduce mix of Buy/Sell/Hold | Increased trust, reduced “methodology leakage” |
| Weak engagement with lead magnets | Highlight returns + credibility | Emphasize potential returns and signals | More lead submissions |
| Slow access to subscribed content | Reduce navigation effort | Create a quick-view dashboard/section | Lower friction and churn risk |
4) What changed (PM perspective)
4.1 Product changes
- Added a “Subscribed picks” entry point (homepage/primary nav) [assumption]
- Improved lead magnet messaging: clearer promise + “why trust this” cues
- Introduced recommendation diversity:
- Fundamental picks (growth stocks)
- Technical picks (trend-driven)
- Buy/Sell/Hold distribution
4.2 UX changes
- Reduced clicks to see top picks (goal: ≤2 interactions from home) [assumption]
- Added clear labels and defaults to reduce decision fatigue
- Improved scannability (layout, spacing, type hierarchy)
5) Key features in the final iteration
Top picks selector
- Choose from Fundamental or Technical categories
- Quick timeframe selection (short/medium/long-term) [assumption]
User customization
- Dropdown to select recommendation set
- Date range controls to view performance windows [assumption]
Updated lead magnet card (UX)
- Quick access toggle for subscribed users
- High returns focus (with credibility framing)
- Default ticker reveal for subscribers (reduces friction)
- Categorized picks with gain % (scan-friendly)
6) Measurement plan (what I tracked)
Primary metrics (directional)
- Lead conversion rate (visit → lead submission)
- CTR on lead magnet and CTA
- Time-to-recommendation (TTR): time from landing to viewing first pick
- Subscriber quick-access usage rate
Guardrails
- Increase in support tickets about “misleading returns” should not rise [assumption]
- Recommendation diversity should not reduce perceived relevance [assumption]
7) Outcomes (assumptions)
- Lead submissions increased by ~15–25% from stronger value framing + credibility cues
- Existing subscribers reached their recommendations ~20–35% faster due to a dedicated quick-access entry point
- Higher engagement with lead magnets due to clearer differentiation and variety
8) Learnings
- In fintech, users don’t just need value—they need reasons to trust the value.
- Reducing “time-to-first-insight” is often a better north star than adding more content.
- Recommendation diversity is a credibility lever, not just a content decision.
9) What I’d do next
- Add A/B tests for:
- CTA copy and credibility framing
- Default category and sorting strategy
- Introduce a lightweight “explainability” layer (“why this pick”) to build trust
- Expand quick-access into a compact dashboard for daily users
Vishwa RajProduct strategy • UX