Dependant probability and Poisson distribution--a game question.

First off let me thank anyone who is willing to assist me with this. Here is the scenario...

A gambler places a number of consecutive $3 dollar wagers. During each wager there is a 1 in 500 chance of initiating a three-tiered Event where a player may or may not win a up to three consecutive jackpots. However the chance to win the various jackpots during this Event (once initiated) and the amount of the wins are dependant on how many previous non-winning wagers have occurred.

As an example…

If the player initiated the Event on his first through 100th wagers there is a 50% chance of winning $10 dollars. If that is won there is an 25% chance of winning an additional $25 dollars. If that is won there is an additional 10% chance of winning an additional $100 dollars. (Dependant probability=50% chance of winning $10 dollars, 12.5% chance of winning $35 dollars, 1.25% chance of winning $135)

If the player initiated the Event on his 101st through 250th wagers there is a 70% chance of winning $20 dollars. If that is won there is a 50% chance of winning an additional $50 dollars. If that is won there is an additional 25% chance of winning an additional $200 dollars. (Dependant probability=70% chance of winning $20 dollars, 35% chance of winning $70 dollars, 3.5% chance of winning $270)

If the player initiated the Event on his 251st through 550th wagers there is a 100% chance of winning $30 dollars. If that is won there is an 80% chance of winning an additional $75 dollars. If that is won there is an additional 60% chance of winning an additional $300 dollars. (Dependant probability=100% chance of winning $30 dollars, 80% chance of winning $105 dollars, 48% chance of winning $405)

If the player initiated the Event after his 550th wager there is a 100% chance of winning all three jackpots (in this case a $100, $250 and a $500 dollar jackpot). (Dependant probability=100% chance of winning $850).

If the Event occurs (regardless of winning any jackpot(s) during the event) the non-winning wager counter resets.

How would you calculate the total odds for this game? What would the average loss to the player be per wager? Would it be necessary to use a Poisson distribution model to indicate the probability of the Event triggering occurrences over the course of 100,000,000 wagers?

I would certainly appreciate any help with this.