I don't think this will work well. Minor updates to listings would trigger all of these actions far too often to make them standard and ignored.

I hate to say it but I think some type of heuristics would be needed here.

1. Has the title significantly changed. 2. Has the price significantly changed. 3. Are the search keywords that were finding the old listing significantly different than those finding the new listing. 4. Have average ratings and common words in reviews changed? (Especially rarer words that match the new and old listing respectively)

If some of these start to look suspicious then I think you can start to apply your mitigations. You can probably even scale them by how sure you are. For example reviews are always downranked by age and significant changes to the listing amplify this effect, you can add the same weight to the start rating.

And of course the real way to prevent this is to flip the incentive. Add human review and a warning before killing the account. Make it so that the cost of being caught negates the benefit of doing this.