Skip to content

Pipeline & Funnel Health

DATA | DERIVED | Updated 2026-04-08 | Owner: Data Science

How users move from signup to whale status — and where the pipeline breaks. This is the most important data section for product teams: it tells you where to intervene.


The Universal Pipeline

All three products share the same funnel structure:

New User → Pack Purchase → [PIPELINE BREAK] → Marketplace Discovery → Trading → Whale Trajectory

The break happens in different places for each product, but the pattern is identical: users enter through packs, the marketplace creates whales, and most users never make the transition.

Pipeline Transition Rates (Weekly)

Transition NBA NFL Disney What It Means
S weekly churn 43.0% 41.8% 45.6% Nearly half of small buyers leave every week
S→M upgrade 7.8% 10.2% 5.6% Only 6-10% of small buyers increase spending
M→S downgrade 37.6% 36.4% 51.0% Disney loses half its mid-tier weekly
M→L upgrade 4.0% 4.4% 2.5% Disney's upgrade rate is half of sports
L→M downgrade 42.9% 43.5% 52.9% Disney L-tier is a revolving door
L→XL upgrade 8.1% 6.9% 5.8% Roughly similar across products
XL→L oscillation 48.7% 51.4% 51.9% Whales bounce between XL and L frequently
XL actual churn 0.1% 0% 0% Whales virtually never leave permanently

Key Insight

XL actual churn is negligible across all products. Whales oscillate between XL and L but rarely leave permanently. The problem isn't whale retention — it's whale creation. The pipeline above them is shrinking.

Population Decline (March 2024 → March 2026)

Segment NBA NFL Disney
L tier decline -54% -54% -75%
XL tier decline -49% ~-39% -74%

Disney's pipeline is catastrophically broken compared to sports products.


The Marketplace Discovery Problem (F013)

The single biggest funnel break: 83% of cheap-pack buyers ($1-8) never discover the marketplace.

First Purchase Type Marketplace Discovery (30d) Avg Crossover Spend Second Purchase Rate
$1-8 pack 17% Low 40-71%
$50+ pack 46% $1,025 Higher
Marketplace first N/A High 95%+

The marketplace creates whales. Packs create one-time buyers. Users with 4+ marketplace transactions in their first 7 days become L/XL at 2-5x the base rate — even controlling for initial spend level.

The Pipeline in Numbers

100 new users arrive
  → 97 buy a pack (entry point)
  → 83 never discover the marketplace [BIGGEST LEAK]
  → 14 discover the marketplace
    → 7-8 make a marketplace purchase
      → 2-3 reach L/XL trajectory

Highest-Leverage Intervention

Post-pack marketplace surface: after every pack opening, show each moment's current marketplace value, recent sales, and a "trade now" prompt. This targets the 83% who never organically discover the marketplace.


The $50 Pack Gateway (F022)

$50+ pack buyers are 2.7x more likely to discover the marketplace and spend 8x more when they do.

This isn't because $50 packs are magic — it's self-selection. Users willing to spend $50 on a first purchase have enough initial commitment to explore beyond pack opening. The $50 pack buyer is your proto-whale.

Implication for Pack Strategy

  • Reposition $50+ packs as the "collector's gateway" — premium onboarding, not just a higher price point
  • Optimize the 46% marketplace discovery rate for this cohort (it should be higher)
  • Use 7-day whale propensity scoring: flag users hitting 4+ marketplace transactions in week 1 for an accelerated engagement track

The 30-Day Activation Window (F010)

Users who transact within their first 30 days retain at dramatically higher rates:

Product Retention Lift (30-Day Activators vs. Non-Activators)
Disney 7x
NFL 6.4x
NBA High (specific multiplier not isolated)

After 30 days without a second transaction, the probability of activation drops sharply. For Disney, 70% of traders don't start until 90+ days after first purchase — but the pipeline bleeds users at the M tier before they reach that window.

The Disney Timing Problem

Disney's engagement engine (trading) activates late (90+ days average). Disney's pipeline bleeds users early (51% weekly M→S regression). These two facts together explain why Disney has the most broken funnel. The intervention: engineer the first trade EARLIER — trading events in the first 30 days, post-purchase trading prompts, sets designed to require trading to complete.


W0 Conversion: The 4x Win (F011)

NBA Top Shot's W0 conversion (signup → first purchase within 7 days) improved from 2.9% to 12.3% — sustained for 10 months.

The driver: positive expected value pricing. When the expected value of pack contents exceeds the pack price, collectors buy. Consumer surplus drives conversion. Aggressive extraction kills it.

This is a validated playbook lever, not a hypothesis. It proved that pricing reform alone can dramatically improve top-of-funnel conversion.

What Positive EV Means in Practice

  • Pack price < expected resale value of contents
  • Legendary caps at 75/season (scarcity creates the EV)
  • Monthly tent-pole drops instead of weekly (F017) reduces supply dilution
  • The collector's mental model: "Am I likely to get more value than I pay?" If yes → buy. If no → wait.

Disney: The Worst Pipeline (F006)

Disney Pinnacle's pipeline health by the numbers:

Metric Disney NBA NFL
L-tier loss (2yr) -75% -54% -54%
XL-tier loss (2yr) -74% -49% ~-39%
Weekly M→S regression 51.0% 37.6% 36.4%
Weekly M→L upgrade 2.5% 4.0% 4.4%
Active buyers (Mar 2026) 662 5,914 1,728

Disney has no challenge mechanic (sports products' primary retention tool). Disney's engagement engine is trading, which takes 90+ days to activate (F007). Disney's pipeline bleeds users weekly at the M tier before they can reach the trading activation window.

The Best Pals Case Study (F014)

April 2025: Best Pals Vol.1 dropped. Results:

  • 5,617 buyers acquired (7x spike)
  • 98.1% never traded → $18 avg spend → churned
  • 1.9% who traded → $5,408 avg spend → 48 still active
  • The non-traders (4,988 who churned): only 41 still active

Lesson: Content spikes without a trading bridge replicate this failure. Every Disney content drop must include a mechanism to activate trading within 30 days.


Summary: Where to Focus

Priority Intervention Finding Expected Impact
1 Post-pack marketplace surface F013 Targets the 83% who never discover marketplace
2 Disney first-30-day trading activation F006, F007, F010 Addresses the most broken pipeline
3 $50+ pack repositioning F022 2.7x marketplace discovery, $1,025 avg crossover
4 Positive EV pricing discipline F011 Proven 4x W0 conversion lift
5 7-day whale propensity scoring F022 Flag early whales for accelerated track