Sports trading cards collection

Your drop calendar is outrunning your team. We run the engine that keeps up.

We run the pack economies, design pipelines, and player lifecycle behind leading trading-card and digital collectibles brands. That same always-on engine now serves sports betting, DFS, and fantasy platforms.

See our case studies

Every drop, season, and promo is a fire drill

Collectibles and sports businesses run on an event calendar. That calendar creates the same three gaps in every operator we meet.

01

The economy is guesswork

Pack odds, rarity tiers, and pricing are set by gut, not modeled. Revenue gets left on the table, and you cannot tune fast enough between drops.

02

Creative cannot keep pace

Every drop, season, and campaign needs fresh variants and assets. The design team becomes the bottleneck, and quality slips when volume spikes.

03

Players churn between events

Engagement spikes on event day and falls off afterward. Without a lifecycle and loyalty engine, you re-acquire the same users you already paid for.

Two programs. Different markets. The same compounding result.

Both case studies are fully anonymized per client confidentiality agreements. The metrics are real.

Trading Cards & Digital Collectibles · 10-Year Program

How a top-3 global trading-card brand turned its live-ops into a compounding growth engine

A leading global trading-card publisher partnered with [x]cube LABS to run its pack economy, gamified collector lifecycle, and engagement ops end to end across its digital apps. The engagement has run for a decade and continues to compound.

650%
Day-7 collector retention lift
3x
Weekly revenue during live events
325%
Daily in-app currency spend
90%
DAU participation in seasonal campaigns
Sports & Entertainment · 3-Year Scale Program

How a global digital collectibles platform scaled from 4 apps to 7 without missing a single release window

A global sports and entertainment leader in digital collectibles needed an embedded live-ops partner that could absorb its growing portfolio without disrupting existing pipelines. [x]cube LABS stepped in and grew in lockstep across three years.

2,700+
Tickets processed across all apps
7
Live apps supported simultaneously
31,570+
Design deliverables in 2 months (AI-assisted)
114%
Sell-through on one app’s revenue target
100%
Peer review coverage before every client handoff

Four things that separate a live-ops pod from a service vendor

01

We own throughput, not just delivery

SLAs cover the full pipeline from brief to publish. Every ticket is peer-reviewed before handoff. We do not ship and hope.

02

We scale without proportional headcount growth

The pod model and AI-assisted production tooling mean that volume growth does not require a proportional increase in team size. Output grows faster than cost.

03

We run the economy, not just the ops

Pack odds, rarity mechanics, virtual currency balancing, and LTV analytics are inside the pod. Most ops vendors execute against specs we help set.

04

Ten years of embedded knowledge does not transfer to a new vendor on day one

Institutional knowledge compounds over time: live questions logs, CMS certifications, client cadence rhythms, platform-specific edge cases. We build it in. A new vendor starts at zero.

Five capabilities, delivered as one managed pod

Start with the pillar that hurts most, or embed the full pod alongside your team. You buy throughput and outcomes, not headcount.

1

Product & Economy Ops

Pack and set algorithms, rarity and odds engines, drop mechanics, SKU and pricing design.

2

Design-at-Scale

Base design to variants, flavors, and parallels: a creative production pipeline and brand systems.

3

Lifecycle & Loyalty

Segmentation, messaging, upsell, cross-sell, retention, and win-back, powered by Upshot.ai.

4

Live-Ops Engagement

Seasonal and event content, drop calendars, challenges, and in-product engagement.

5

Data & Optimization

Economy balancing, A/B testing, LTV and cohort analytics, and live dashboards.

One integrated pod

One squad runs your program end to end. Scale by adding pods, not vendors.

Upshot.ai — the engagement and
gamification layer inside every program

Live-ops programs live or die on what happens between events. Upshot.ai, our proprietary omnichannel engagement platform, is the layer that keeps players and collectors active when there is no drop on the calendar.

It runs the behavioral segmentation, gamified loyalty mechanics, and lifecycle automation that turn a well-run drop calendar into compounding retention and LTV. The same platform powers engagement programs for Panini, Puma, Sony, and Amway, with documented lifts in revenue, daily active users, and retention.

What Upshot.ai runs

Engagement, gamified and measured

  • Behavioral segmentation across whale, mid-tier, and at-risk cohorts
  • Gamified loyalty: challenges, streaks, badges, missions, and rewards
  • Lifecycle orchestration tied to your drop and promo cadence
  • Journey automation triggered by real-time user behavior
  • Prediction and ML-driven churn and conversion signals
  • Real-time LTV, cohort, and economy-balancing analytics

One capability, two markets that run on a calendar

The mechanics that grow a pack economy are the same ones that grow a promo calendar. We speak both.

Trading cards & collectibles

Card, TCG, and digital collectible platforms

We design the pack economy, produce variants at scale, and run the collector lifecycle that keeps drops growing.

Who we work with Physical and digital card makers, TCG publishers, blockchain collectibles, live-commerce and breaking, marketplaces.

Sports betting, DFS & fantasy

Sportsbooks, DFS, and pick'em platforms

We run the seasonal live-ops, gamified loyalty, and promo cadence the calendar demands, with retention as the metric.

Who we work with Sportsbooks, DFS and pick'em apps, prediction markets, fantasy platforms, sports media and streaming.

Start small, prove it, then scale

Most partnerships begin with a low-risk paid pilot and grow into a managed program. You see throughput before you commit.

Step 1 – Land: Pilot / Sprint

Pilot / Sprint

A fixed-scope design sprint or pack-economy audit, 4 to 8 weeks. Fast, low-risk, proof of throughput.

Step 2 – Core: Managed Live-Ops Pod

Managed Live-Ops Pod

A full economy, design, lifecycle, and analytics squad operating your program at cadence.

Step 3 – Align: Scale & rev-share

Scale & rev-share

Multi-pod programs across titles and regions, with performance-based upside.

See exactly how we did it.

Two anonymized case studies. Real before/after numbers. Or book a 30-minute discovery call and we will map the opportunity in your economy.