Pack Cycle Playbook¶
How a pack goes from concept to drop. The full lifecycle.
Overview¶
Packs are the primary revenue driver. 97% of new users start with a pack purchase. Pack revenue is 93% of total transaction volume on NBA Top Shot. The pack cycle is the most important operational process in the business.
The Full Lifecycle¶
Phase 1: Content Selection (2-4 weeks before drop)¶
- Identify content opportunity — game highlights, seasonal events, cultural moments, partner calendar
- Select moments — curate specific plays/pins based on:
- Star power (player marketability)
- Scarcity appropriate to tier
- Set completion potential
- Challenge eligibility
- Review with EP — Matt reviews content selection against portfolio strategy
Monthly Tent-Pole Discipline
Since the 2025-26 season shift to monthly drops, each tent-pole must be significant enough to stand alone. Weekly drops diluted each event's importance. One tent-pole per IP per month, staggered across weeks. (F017: 2.3x revenue per drop, 131% more returning buyer revenue)
Phase 2: Pack Configuration (1-2 weeks before drop)¶
Pack Math — the critical calculation:
| Parameter | What to Define |
|---|---|
| Total packs | How many packs in this drop |
| Price point | Pack price (must pass positive EV test) |
| Rarity distribution | How many Common/Rare/Legendary per pack |
| Mint counts | Total mints per moment per tier |
| Expected revenue | Price × packs × sell-through estimate |
| Margin target | Revenue minus production costs and partner obligations |
The Positive EV Test (F011): The expected value of pack contents must exceed the pack price. This single principle drove the 4x W0 conversion improvement. Every pack configuration gets this test.
- Calculate expected resale value of contents at current marketplace prices
- If expected value < pack price → adjust pricing or rarity mix
- If expected value > pack price → collectors buy confidently
Pack Tiers:
| Pack Type | Price Range | Discovery Rate | Who Buys |
|---|---|---|---|
| Base / Common | $1-8 | 17% marketplace discovery | Casual, high-churn. 83% never find marketplace. |
| Standard | $9-29 | ~30% marketplace discovery | Mid-tier entry point |
| Premium / $50+ | $50+ | 46% marketplace discovery | Collector gateway. $1,025 avg crossover spend. |
| Elite / Limited | $100+ | High | Whale-targeted, limited quantities |
$50+ Packs Are the Collector Gateway
$50+ pack buyers discover the marketplace at 46% (vs 17% for cheap packs) and spend $1,025 avg on crossover. Position these as the premium onboarding path. (F022)
Phase 3: Partner Approval (IP-dependent)¶
Timelines vary by IP: - NBA/NBPA: 1-2 weeks standard. See Partner Approvals - NFL/NFLPA: Currently in renegotiation. See NFL Partnership - Disney: 4-6 weeks. Disney has the most complex approval process. See Disney Submission
Phase 4: Production (1-2 weeks before drop)¶
- Renders — Prapanch's team creates visual assets for each moment
- QA — Quality check on renders, metadata, tier assignments
- Minting — On-chain minting of moments with correct serial numbers
- Pack stuffing — Algorithm distributes moments into packs based on rarity configuration
- Final QA — Verify pack contents match configuration
See Content Production for detailed production pipeline.
Phase 5: Marketing Coordination (1 week before drop)¶
- Announce drop — Social media, email to collectors, in-app notification
- Reactivation emails — Target lapsed users: "The [X] Pack drops tomorrow" (F020: 64% of reactivators viewed pack pages in 7 days before returning)
- Challenge announcement — If applicable, announce associated challenges to drive demand for specific moments
- Countdown — Build anticipation through social content
Phase 6: Drop Day¶
See Drop Execution for the operational checklist.
Phase 7: Post-Drop Analysis (1 week after)¶
- Revenue tracking — actual vs expected
- Sell-through — what percentage of packs sold
- Marketplace activity — secondary market pricing, volume
- Reactivation — how many lapsed users returned
- Conversion — how many new users completed first purchase (W0)
- Experiment verdict — did the hypothesis hold? What changes for next drop?
Experiment Brief Template¶
Every pack configuration should have an experiment brief:
Hypothesis: [What we expect to happen]
Hit rate: [Expected sell-through percentage]
Margin target: [Revenue - costs]
Cohort target: [Who is this pack for — segment, behavior]
Success criteria: [What "good" looks like]
Kill criteria: [What tells us this didn't work]
Verdict: [Post-drop evaluation]
Common Failure Modes¶
| Failure | Cause | Prevention |
|---|---|---|
| Low sell-through | Pack price exceeds perceived value | Run positive EV test. Check marketplace comps. |
| Revenue miss | Too many packs, diluted scarcity | Monthly cadence, lower mint counts. |
| No reactivation | Lapsed users didn't hear about drop | Trigger reactivation emails 3-5 days before drop. |
| Marketplace crash post-drop | Oversupply of moments at this tier | Check supply against existing listings. |
| Partner rejection | Content doesn't meet approval criteria | Start approval process early. Know the IP-specific rules. |