Could call it CancelMe -- For $5 you could cancel any one of a dozen major evil fee spammers.

I like it. Somebody contact me (info in profile) if they would like to explore this further.

> For $5 you could cancel any one of a dozen major evil fee spammers

And for $50 you could cancel the CancelMe service itself :)

Only after going through a dozen menus, calling a Voice System, and copying a special code from your e-mail into a small text box one character at a time : )

Better idea: ContestIt

file complaints with any number of credit card companies and collect statistics on the number of complaints vs. number of successful chargebacks by business, by CC company, and by industry. Sell the statistics. Use a pass-through form to handle the CC transaction, and be excruciatingly honest about how the process works.

Basically, act as an aggregator to get better leverage and provide convenience to individuals.

Not sure the profit model on this one -- seems like once the data is correlated it's just the same data, whereas a service would have individual meaning to each customer (a la "get these clowns off my back!")

I can think of at least five other "cousins" of this idea. No matter how you do it, there's a big imbalance between providers and consumers -- and wherever there is an imbalance, there is economic opportunity.

The profit model for the aggregate data is marginal (above that for an individual consumer), it's just a means of squeezing extra revenue out of the equation. Sort of like Consumer Reports or JD Power -- they're mostly there to sell a service, but as a result of the data they collect, they also have leverage with manufacturers (in addition to trust from consumers).

Say, $10 to file and pursue any number of contested charges in one go. Stand-in for the consumer as contact and email them whenever their intervention is required (eg. limited power of attorney). Over time, develop statistics to either serve as positive ("99.9% of disputes amicably resolved without chargebacks") or negative (publish a list of the worst offenders and their average resolution times) reinforcement.

See also RescueTime :-) for examples of a service that extracts marginal revenue from aggregating data.

Got it -- thanks.