The rails exist. The calendar doesn't. 82-0's client already ships rewarded-video respins, a respin budget, boosters, challenge codes, 1v1 and leaderboards — but no scheduled economy drives them. This plan adds the missing layer: a currency definition, a LiveOps calendar, and an ad-stack completion — each priced in the game's own mechanics.
82-0 is not just another casual title: PlayVault is positioned to build the biggest sports gaming hub — a place monetized on proven social-casino and classic gaming principles, that is simultaneously a narrow bridge to the screen time of sports fans who love guessing, predicting and backing their basketball knowledge — users who see themselves as "pro sports" people, not gamers.
Today that bridge is built with free-to-play prediction mechanics — points, streaks, leaderboards, prediction feeds — fully compliance-clean. But the foundations matter: the sports-fan graph, prediction UX and odds literacy being built now are option value on regulated sports-betting partnerships later. Betting is the fuel of American sports; a sports gaming hub that never prepares those foundations leaves its largest adjacent market unclaimed.
Ad-Tech = revenue available immediately, no product work. Product = small tweaks that open monetization surfaces. Daily Games + Tournaments = the engagement engines. Calendar = when everything runs. Data & Model = the economy math underneath.
Add a Google Ad Manager / AdMob funnel and cross-compete it against the current AppLovin MAX setup. AdMob is already signed (google.com DIRECT line in app-ads.txt) — this is wiring, not a new partnership. Web side has its own version of this play: GAM/AdX competing against the current NitroPay-managed stack.
Target: at least +30% ad revenue.
Current app-ads.txt shows only 5 signed demand sources: AppLovin, Meta, AdMob, DT Exchange (Fyber), Mintegral. A full in-app bidding setup runs 10+. Missing entirely:
Unity Ads · Liftoff/Vungle · Moloco · Pangle · ironSource · InMobi · Chartboost
Each unsigned partner = lost auction pressure on every impression. Bonus: negotiate signing bonuses on partners not yet signed — standard practice, free money at this stage.
Source: 82-0.com/ads.txt + /app-ads.txt, pulled 16.09. Verifiable in one click.
Re-time the consent popup for higher allow rates — consent rate directly multiplies programmatic eCPMs in EEA/UK traffic. (Mechanics to be detailed.)
Cross CPM against retention and usage rates of affected users: rewarded units carry the highest CPM, but aggressive placement can suppress sessions — fewer requests, less playtime, worse retention. Structured A/B answers it. Parked as phase 2: needs live analytics access.
Allow one direct position swap per game — remove an already-placed player to place a new pick. Gating options: one-time purchase · subscriber perk · rewarded-video unlock. Uses the RV rails already in the client.
If a player can abandon a game after seeing the draw and simply restart, the restart is a free respin of both team and era — bypassing the rewarded-video respin economy entirely. Every free restart is a roll not purchased and an ad not watched.
Committing players to a started game makes rolls scarce again: more respins used, more RV demand, more ad revenue — from a rule change, not a new feature. Design options: lock the draw once revealed · restart costs a respin/RV · N free restarts per day. Free path stays (friction, never paywall).
One extra draw at the death — after the game ends (or right before the final standing): spin again and swap the new player in for any player already picked. Sold as a premium feature or unlocked by a rewarded ad. The highest-emotion moment in the run becomes the highest-value monetization surface.
Stat-hidden "pro" play is slow — long, contemplative screens, fewer rounds per hour, fewer ad opportunities. A free pro player is bad ad inventory by design. So pro mode becomes a premium feature: the mode itself self-selects the most knowledgeable, most engaged cohort — and prices them, instead of serving them ads they barely generate.
A second mode, H2H only: rosters battle across the nine fantasy categories. This fixes the luck problem — drawing Wilt no longer auto-wins, because one mega-card takes one category; breadth takes the match. Strategy over spin-luck, and a reason to keep fighting every round.
PLAY 9-CAT MODE → (running category sums live; FG/FT/3PM/TO real after the season-stats build.)
Each matchup is a best-of-7 playoff series. Starting a series costs a rewarded ad or currency; challenging a specific rival costs more. Series, rematches and rivalries — every unit of competition is a monetization surface with a free path.
An IAP cannot be based on nothing — the game needs a named resource before offer machinery can exist. 82-0 already half-built it: respins carry a budget, boosters exist, RV grants respins. Step one of the economy: formalize the resource (respins / boosters / event entries) as the currency every event and offer prices against.
A court of five positions, each showing a statline — the player guesses which team it is (e.g. the 1992 Bulls, statline by statline). Team parameters available for grid logic: W-L, decade/year, conference, division.
PLAY THE PROTOTYPE → (decade mode; single-season + full hints land with the season-stats build.)
Single-season statlines (not merged periods) — data build from public reference sources, spec'd separately.
Identify the current NBA team from its social-media follower counts. Light, shareable, zero economy cost.
Guess real NBA game results — submit daily picks, earn currency on hits. Seeing other users' guesses is the social layer; the nightly slate is the reason the app gets opened every day the NBA plays. Prediction feed = retention engine that costs nothing to operate.
The NBA hands the calendar a monthly award — users stake points on POTM candidates and win currency on successful calls. A natural monthly commercial beat that resets itself twelve times a season.
The story that holds it all together: living through the greatest events of NBA history — in real time, on their real dates. Streak windows, Christmas classics, All-Star weekends, draft nights, Hall of Fame classes, the Dream Team — the calendar is not a list of promotions, it is a season-long tour of basketball's mythology. Sports fans don't log into events; they live through eras.
Timed to the real NBA season start: beat the teams with the best-ever starts to a season. The real NBA calendar is 82-0's free seasonality engine — opening week, All-Star, trade deadline, playoffs, Finals, draft night are built-in event hooks no casual game gets for free.
Each week features a legendary dynasty. Players build teams that must beat the dynasty through the regular season, then survive against it through playoff rounds — a multi-stage arc whose rhythm matches the monetization calendar: weekly entry beats, mid-arc friction, finals-stage stakes.
Live only during the real All-Star break: (a) cross-era All-Star matchups — build and back All-Star teams from different years, West '99 vs East '98; (b) Guess the All-Star Team — a starting five with statlines and ages, name the team and year. Pro mode: no logos. Classic mode: logos on. A mode that exists two weeks a year is a mode players show up for.
Real dynasty win-streaks happened in real calendar windows — the '88 Lakers ran theirs Oct 15 to Dec 12. Each streak becomes an event that runs during its own historical window: face that team's actual starting five while their streak is "alive". Weaker-era rosters carry bonuses so the challenge holds. The calendar writes itself out of basketball history — no invented seasonality needed.
Activity streaks dressed in franchise lore: five straight active days earns the "Hornets' longest winning streak" badge and its points; the ladder climbs toward the all-time streak records. A login-streak mechanic that reads as basketball knowledge, not as a chore chart.
The offseason is where every sports game bleeds users — so summer gets its own ladder: face Olympic national teams round by round, and the final boss is the 1992 Dream Team. The dead months become the most mythic arc of the year.
During the real March Madness window, legends return in their college colors — special college teams drawn from each program's NBA alumni, keeping their NBA statlines. Rides the biggest US basketball attention spike outside the playoffs, with zero new stat data — only a player-to-college mapping.
While the real draft runs: face the all-time greatest #1 picks team, the greatest second-rounders, the greatest Rookies of the Year. Themed rosters the audience already argues about every June.
During the real HOF induction: play against the incoming class, or run the gauntlet of older classes. Another event whose date is set by basketball itself.
Christmas is the NBA's marquee TV day — so the game relives it: history's classic Christmas matchups, one after another, beating as many as possible against the actual teams that played them. The biggest basketball day of the year becomes the game's biggest event.
Scheduled rivalry windows — CLE vs GSW, Celtics vs Lakers — where every player picks a side and contributes points to it through play. Top contributors on the winning side take a bonus; pass the personal threshold AND win the war, and the bonus scales with your contribution.
A group mission and a team mission at once: the personal chase (my points) nested inside the collective chase (our side). Faction pressure is the strongest free engagement multiplier in LiveOps — and every contribution point is played, respun, or bought.
Guess your NBA awards — MVP, DPOY, MIP, 6th Man — plus champions and finals. Long-running prediction ladders that mature with the real season.
Every proposed mode runs through the same 9-field card before it earns a calendar slot:
| 1. Arc | The hook — which NBA moment / weekly rhythm slot it rides |
|---|---|
| 2. Chase | Which chase it feeds: daily · weekly · seasonal |
| 3. Player goal | What the player is trying to complete |
| 4. Friction | The resource need / scarcity where demand is born |
| 5. Surface | Offer type + RV placement that resolves the friction (free path stays) |
| 6. Segment | Who sees it, at which price band (recent-value based) |
| 7. Economy | Currency in/out — sink or source, and what it does to balances |
| 8. KPI | Primary metric + the hypothesis + the test |
| 9. Repetition | What repeats weekly (the measurement baseline) vs what varies (offers) |
The core deliverable: a season-long schedule where one activity leads each period, weekly rhythms repeat (events repeat — offers vary), and every beat pairs supply (things to do and earn) with demand (what consumes it).
Presentation format: a full yearly timeline of the event architecture — then the upcoming few months demonstrated in depth, week by week, offers and KPIs included.
OPEN THE YEARLY TIMELINE → — all twelve months, every event in its real window, deep-dive stretch marked.
Reconstructed from the game's own code (June 2026) and independently re-derived empirically (September 2026) — the two agree within ~1%:
Historical cards with unrecorded steals/blocks get recorded S & B × 5/4 in-game. Win curve: Wins = 82 × min(score/110, 1)^1.15.
Full card set: 10,932 player-era cards, 30 teams, 1950s–2020s, with computed values and per-position indexes against dynamic top-20 positional averages:
| Position | PG | SG | SF | PF | C |
|---|---|---|---|---|---|
| Top-20 avg value | 58.8 | 58.0 | 59.5 | 62.8 | 68.4 |
| Card | Pos | Value |
|---|---|---|
| Wilt Chamberlain — GSW 60s | C | 92.7 * |
| Kareem Abdul-Jabbar — MIL 70s | C | 82.5 |
| Nikola Jokic — DEN 20s | C | 73.7 |
| Russell Westbrook — WAS 20s | PG | 70.2 |
| Hakeem Olajuwon — HOU 90s | C | 69.0 |
| Michael Jordan — CHI 80s | SG/SF | 67.8 |
* missing-S/B era card. Why it matters for events: every event can be priced in the game's own economy — era ladders, legendary-pool rotations, position-index brackets — instead of generic templates.
The raw working layer: open topics, advisory notes, pending research. Only we look here.
# 82-0 ASSIGNMENT - OPEN TOPICS LEDGER (the "never lose a thread" file) Rule (Tiko, 2026-09-16): WRITE DOWN ALL HIS STUFF, RETURN TO TOPICS NEVER CLOSED. Today = puke everything out; cleaning comes after. Every idea from the convos and his dumps gets a row here. Status: OPEN (untouched) / SEEDED (captured, needs work) / BUILT / PARKED (his call) / DONE. ## Infrastructure | # | Topic | Status | |---|---|---| | I1 | 82-0.paretiko.com site up (Vercel, zero cost) | OPEN - next build step | | I2 | Minisites skill (manage/assign paretiko subdomains, no manual DNS for Tiko) | BUILT 09-16 - skill lpm-paretiko-minisites | | I3 | DB online (cards CSV/JSON served from the site repo) | OPEN - rides on I1 | | I4 | players_flat re-pull + cards dataset | DONE 09-16 (10,932 cards, indexes) | | I5 | Scoring model confirmation | DONE 09-16 (June crack == GPT fit; server-side now, use as-is) | ## Data builds (Guess the Dynasty + sims) | # | Topic | Status | |---|---|---| | DB1 | Players general-info DB (bio, college, age...) - basketball-reference | OPEN | | DB2 | Decade-avg by team DB | DONE - that IS players_flat/cards CSV | | DB3 | SINGLE-SEASON statlines per player incl. AGE that season (bbref) - his call: single season easier than merging periods | OPEN - the key scrape | | DB4 | Hint data for D1: ages, colleges, season finish (champs/finals/CF/CSF/R1) | OPEN - comes from DB1+DB3 | | DB5 | Social-media follower counts per current team (for D2) | OPEN | ## Site tabs (his structure) | # | Topic | Status | |---|---|---| | A1 | GAM/AdMob funnel vs MAX, +30% ad-rev target (AdMob already signed - wiring only; web side vs NitroPay) | SEEDED | | A2 | Full bidding stack + signing bonuses (gap list = evidence from app-ads.txt) | SEEDED | | A3 | GDPR popup timing -> allow rates | SEEDED - needs the how | | A4 | ads.txt research | DONE - data/adstxt_findings | | A5 | RV vs rewarded-interstitial A/B (CPM vs retention vs usage) | PARKED by Tiko - "phase 2" line on site | | A6 | (he left empty - slot exists) | OPEN | | B1 | Direct-swap product tweak (buy / subscriber / RV gate) | SEEDED | | D1 | Guess the Dynasty daily (court of statlines -> guess team; paid hints) | SEEDED - needs DB3/DB4 | | D2 | Follower-count team guess (bonus daily) | SEEDED | | T1 | Season-start tournament: beat best-ever season starts | SEEDED | | T2 | Predictions: awards (MVP/DPOY/MIP/6th), champs, finals | SEEDED | ## From Advisor P (convo file) - not yet placed on the site | # | Topic | Status | |---|---|---| | R1 | Currency prerequisite: name 82-0's resource (respins/boosters embryo exists in code) | OPEN - thesis piece | | R2 | PO tiers + decoy pricing + LTV segmentation | PARKED (no pricing in v1, his call) | | R3 | One leading activity per period; month-ahead schedule AS the deliverable format | OPEN - calendar build | | R4 | Holiday hooks; never train discount patterns | OPEN - calendar build | | R5 | Out-of-currency offer triggers inside gameplay | OPEN | ## From Advisor M (convo file) - not yet placed on the site | # | Topic | Status | |---|---|---| | K1 | 8-week season Gantt (NBA calendar = free season anchor) | OPEN - calendar build core | | K2 | Guidelines: daily/hourly/weekly/seasonal chases + compounding login | OPEN | | K3 | Repetition baseline -> fatigue detection (analytics story; name Ehud/Avi coordination) | OPEN | | K4 | P75-of-14d segments; price-point play; aggressive exchange rates | PARKED w/ R2 (pricing) | | K5 | Young-game trio: reward calendar + achievements + progress offer | OPEN - likely v1 spine | | K6 | Tiko's design question: make offers NEEDED for daily/weekly chases (friction not paywall) | OPEN | | K7 | Weekly chase structure Mon-Mon, event points, completion prize | OPEN | ## Process (his meta-rules for this project, 09-16) - LPM pulls this project alone: work tightly with skills, save everything, notify PM-Tiko, ask questions, keep this ledger current. Today = max extraction, cleanup after. - Deadline still unknown (LPM-006 open). ## Added 09-16 evening (his point 6 + notes) | # | Topic | Status | |---|---|---| | G1 | GOOGLE GEMINI DEEP RESEARCH - still awaits (his pending research run; pull results when ready) | OPEN - waiting on Gemini | | D3 | Build spec: the 5-players daily challenge (how Guess the Dynasty actually plays turn by turn) | OPEN | | D4 | "9-CAT SCROLL" game idea - 9-category fantasy stats scroll. DATA NEED: full per-season statlines all years + FANTASY POINTS statline, all on basketball-reference | OPEN | | C1 | CAPTURE 82-0's spin animation WITH SOUND + draw flow (how team name + year spin) so we can simulate it. Their sfx already saved locally (spin/win/lose/choose wavs) + ball-sheet.webp sprite; still need: screen recording of the live spin | OPEN | | S1 | Site: fold in their backgrounds/ball animation (assets downloaded to Minisites/82-0/assets/) | SEEDED | | S2 | Data & Model tab = INTERNAL ONLY - eventually cut from the version PlayVault sees (his call 09-16) | NOTED | | S3 | Convos on the site? His ask - but a public URL is never private (cacheable, logs, history). Names stay OFF web; decide: keep local (recommended) or anonymized notes tab | OPEN - his call |
# Advisory convo 1: Advisor P (Playtika) - monetization/LiveOps craft
Captured 2026-09-16. Raw notes from Tiko (wording imprecise by his own flag) + the GPT cleanup he
approved. GPT's "Game event -> ... -> KPI" chain was GPT's synthesis, NOT hers - keep attribution.
## Advisor P's operating principles (distilled)
STRUCTURE OF THE CRAFT
1. The monetization seat largely = IAP offer machinery: offer types + upsells, run on a schedule.
2. Monetization DECIDES the month-ahead schedule and what single activity LEADS the game each
period. Economy PRICES (owns value/balance). Art DESIGNS the offer/event skins. Three seats,
clean split.
3. ONE main commercial focus at a time (e.g. "store sale leads this period") - no noise, no
competing offers stacked.
OFFER MECHANICS
4. Personal Offers (PO1/PO2/PO3) segmented by player value/LTV. Never show a $10-20 player a $500
offer. Push each player A TINY BIT above their current worth - small stretch, not a leap.
5. Decoy pricing: small $5 / medium $8 / large $10 - the middle exists to make the large look like
the obvious value. With 3 offers, the structure steers to the 3rd.
6. Offer surface types: store deals/sales; personal offers; upsells; mini-game/side-feature
monetization (side feature carries its OWN currency -> out-of-currency moment = natural offer
trigger, e.g. out-of-chips offer); contextual in-gameplay offers.
7. Monetization must sit INSIDE the gameplay, not detached from it.
CALENDAR DISCIPLINE
8. Hook activity to holidays/seasonal moments.
9. NEVER train players to predictable discounts - a sale every Saturday teaches players not to buy
Thursday-Friday. Vary cadence deliberately.
10. Everything runs within the rules of the game economy.
THE 82-0 SEED SHE GAVE
11. Example event: a TOURNAMENT around building the best possible team.
12. THE PREREQUISITE: an IAP cannot be "based on nothing" - the game needs a CURRENCY / resource
that gives purchases meaning, before any offer machinery can exist.
## Mapping to 82-0 (LPM notes, for the plan)
- Point 12 is the thesis-level finding: 82-0 TODAY HAS NO CURRENCY. The recon (data/RECON) found
RV-respin rails + a respin BUDGET + boosters already wired - the embryo of a currency, unowned.
Step 1 of any monetization plan = define the resource (respins/boosters/entries) as the economy
base, exactly Advisor P's prerequisite.
- Point 2 maps to the deliverable format: a month-ahead calendar with ONE leading activity per
period is literally what Meir asked him to produce.
- Point 11 + the existing 1v1/challenge-code/leaderboard rails = the tournament event is buildable
on shipped mechanics, no new dev.
- Point 4/5 (PO tiers, decoy) = later-phase; he ruled pricing out of scope for now (top-down first).
# Advisory convo 2: Advisor M (Moon Active) - LiveOps calendar craft (PART 1, more coming)
Captured 2026-09-16. Tiko's raw notes -> GPT interpretation he accepted. Advisor M plays/references
Travel Town as her working example. Note: "guns" in the raw notes = GANTT (GPT decode, correct).
## Advisor M's framework (distilled)
THE PLANNING UNIT
1. Everything starts from an 8-WEEK SEASON - 8 weeks because that is the CARD SEASON length; the
season is what players progress toward, so it LEADS the calendar. Looking at 2 months creates
the weekly view.
2. HIERARCHY: Season (8w) -> weekly rhythm -> bi-weekly beats -> multi-day events (a 4-day event =
long-term engagement) -> daily events -> hourly/flash events (fast exciting pulls).
SUPPLY vs DEMAND (her core mental model)
3. SUPPLY = everything the game gives players to DO or EARN: card progression, races, tournaments,
daily challenges, login rewards, multi-day events, achievements.
4. DEMAND = what consumes/monetizes that engagement: offers, purchases, resource sinks, progression
requirements. Same-day pairing: Tuesday race -> a 1h/24h offer beside it (rotating every 2h);
daily sign-in compounds progress. Event and offer are ONE coordinated system, never two.
THE GANTT + BASELINE METHOD
5. She builds an 8-week Gantt in Miro - the master board of what is active at every point.
6. DELIBERATE REPETITION: every Monday X, every Tuesday race, every Wednesday Y. The repeating
pattern IS the measurement baseline - when Tuesday races dip vs their own history, that is
FATIGUE (shkhika), and she chooses what to test against the dip. No baseline = no signal.
GUIDELINES (guardrails defined BEFORE filling the calendar)
7. Every calendar must contain: a DAILY chase (reason to come back today), an HOURLY/short chase
(urgency), a WEEKLY chase (built toward across days), compounding daily participation
(Mon-Sun login -> end-of-week prize), and a SEASONAL chase across the full 8 weeks.
8. Player must keep a POSITIVE sense of progress - retention and monetization together, never
pressure alone. Example structure: Monday-to-Monday daily challenge; log in every day of the
week -> prize; promotional reward calendar / achievements (sign in daily -> points/prize).
COORDINATION
9. LiveOps decides WHAT players chase and WHEN; game economy decides what rewards are WORTH, how
scarce, what enters the system, what they can spend on. Tight coupling, two seats.
## Mapping to 82-0 (LPM notes, for the plan)
- 82-0's SEASON ANCHOR IS FREE: the real NBA calendar. Opening week, All-Star, trade deadline,
playoffs, Finals, draft night - built-in seasonality no casual game gets for free. Advisor M's
8-week card season translates to NBA-moment seasons.
- Her hierarchy maps to the deliverable's skeleton: Season -> weekly rhythm -> daily/hourly beats.
- Her baseline/fatigue method = the analytics story to include (PlayVault already has Head of
Analytics + Director of Game Economy - Tiko's plan should NAME the coordination with those
seats, per point 9; that is org-aware craft).
- Daily chase for 82-0 = the daily guessing game idea Tiko already has (player-DB based) - it
slots exactly into guideline 7.
- Advisor P x Advisor M agreement: one leading activity per period (R) = season leads the calendar (K);
economy rules the value (both); repetition discipline differs - Advisor M WANTS weekly repetition as
baseline, Advisor P warns against trainable DISCOUNTS. Resolution: repeat EVENTS, vary OFFERS.
# PART 2 (same convo, continued)
Attribution note: points 10-13 = Advisor M; the weekly-track worked example, the friction rule, the
offer formula and the closing slogan = GPT synthesis on her seeds. Keep the split when quoting.
SEGMENTATION AND PRICE-POINT PLAY (Advisor M)
10. Segments built on P75 OF LAST 14 DAYS of player value; the segment sets which offer he sees.
11. UNLIKE Advisor P's slightly-above rule: Moon Active also offers LOWER price points with HIGHER
value - deliberately playing across price points to keep the player's PURCHASE HABIT /
purchasing power alive.
12. THE EXCHANGE-RATE RULE: higher price = more "aggressive" value - a dollar buys MORE currency
in bigger packages. Clear reason to trade up; tiers never share one exchange rate.
13. FOR A YOUNG GAME: start with exactly three systems - REWARD CALENDAR + ACHIEVEMENTS +
PROGRESS OFFER (retention + money combined). Not ten LiveOps systems.
TIKO'S OWN DESIGN QUESTION (his words): "i need to think of a way that user would need the
'offers' to follow through with the daily/weekly challenges" -> the demand side of the economy.
GPT SYNTHESIS HE ACCEPTED (useful, label as his own thinking when presented)
- Weekly progression track: Mon starts the chase (0/1,000 Event Points by Sunday); daily login =
free progress; achievements = extra; harder play = more. Offers interact WITH the progression
(event currency, extra attempts/energy, temp multiplier, needed item, bonus progress) - never
random shop items.
- THE FRICTION RULE: never "pay $5 or you cannot finish Tuesday". Healthy loop = play -> progress
-> friction -> offer ACCELERATES -> player can still continue free. Demand without paywall.
- Sample week: Mon chase opens / Tue race + attempts offer / Wed achievement multiplier / Thu
4-day mini-event / Fri stronger 24h offer aimed at players falling behind / Sat catch-up
booster / Sun final push + completion chest.
- Segmentation in action (Friday): A at 850/1000 low-spender -> cheap nudge; B at 600/1000 ~$15 ->
mid pack w/ permanent asset; C high-value -> big pack, aggressive rate, finishes event + stocks
next one. Formula: player value x event state x remaining progression x time left x inventory
-> offer.
- Slogan: LIVEOPS CREATES DESIRE. ECONOMY CREATES SCARCITY AND VALUE. OFFERS MONETIZE THE GAP.
- First thing to design in a young game = THE WEEKLY CHASE ITSELF - until you know what the user
is completing, offers have nothing to attach to.
# Gemini deep-research prompt (submitted by Tiko, results RECEIVED 09-16, saved locally; being mined into the Calendar tab) Captured 2026-09-16. This is effectively the assignment's research spec - 12 sections: 1. Monetization calendar (4-12wk, what it contains, daily/weekly/monthly/seasonal, real sheets) 2. Ownership map (Monetization vs Economy vs LiveOps vs Product vs GD vs CRM vs Analytics vs Art vs UA) 3. Event design -> monetization (needs/friction/scarcity/sinks/entries/retries/boosts/energy/packs) 4. Game economy interaction (sources/sinks, currencies, inflation, velocity, pacing, price/value) 5. Player segmentation (spend history, LTV, RFM, propensity, whales/dolphins/minnows, price laddering) 6. Offer architecture (good-better-best, decoy, anchoring, ladders, starter/first-purchase, chained/step-up) 7. Cadence + conditioning (promo fatigue, cannibalization, discount dependency, price integrity) 8. Focus / commercial beats (hero offer, one beat per period, promotional hierarchy) 9. Seasonality (holidays vs sports seasons vs internal events) 10. SPORTS-GAME examples for an 82-0-like roster game (event->goal->need->friction->offer->segment->economy->KPI chains) 11. KPIs + experimentation (conversion, ARPDAU/ARPPU, take rate, uplift, cannibalization, sink/source) 12. EXAMPLE DELIVERABLE: an 8-week monetization calendar for a casual basketball mobile game + strategic story Sources requested: practitioners - GDC/Gamesforum/GameRefinery/Deconstructor of Fun/Naavik/GameMakers/ Mobile Dev Memo/studio decks/JDs. Practices separated from recommendations. WHEN RESULTS LAND: fold into the site (Calendar + Drafts), cross-check against Advisor P/Advisor M convos. Full prompt text: in the chat of 2026-09-16 + recoverable from his Gemini account.