Changes

*The demand <math>x_D^*\,</math> are strictly increasing in <math>\gamma ,p, x_0\,</math>(the greater the marginal benefit <math>\gamma\,</math>, the more responsive a target <math>\p,\,</math>, and the better current practices <math>\x_0\,</math>, the higher is demand)*The demand <math>x_D\,</math> are strictly decreasing in <math>\alpha, \beta, \eta\,</math>*Higher (the higher costs of a campaign lead to lower demands)*Reward is increasing in <math>\gamma\,</math> and decreasing in <math>\alpha, \eta\,</math>*The more responsive a target the higher the demandHarm is increasing in <math>\gamma,p\,</math> and decreasing in <math>\eta,\beta\,</math>

You can derive a rewards reward to cost harm ratio, which suggest  :<math>\frac{r^*}{h^*} = \frac{(1-p)\beta}{p\alpha}\,</math> This suggests that more responsive firms will be threatened with harm over rewards, and that harm will be preferred with when rewards are costly. If the internet reduces <math>\beta\,</math>, then we would expect to see campaigns with higher demands that emphasize more harm after its adoption.