Strategy #3' Execution

To configure this strategy in InstaInfantry, simply navigate to the Reactions module and open up the Story Actions tab.

Then, select the types of story reactions you want your account to execute.

If you’re looking for optimal results at the expense of variation, simply enable Masslooking and Like Stories with the algorithm set to Advanced. IF will be more efficient with the speed at which it interacts with target users as it’ll have less options to sift through when observing various types of stories. It is slightly more risky than Basic but the difference is almost negligible and the results will be significantly better.

For this strategy, we DO NOT need to enable Accelerators. Yes, our account death rate will be higher but the costs associated with having to dedicate accounts, account slots and proxies to accelerators is just not worth the decrease in risk when we’re running 100+ infantry accounts.

We’d basically be doubling our costs of running 100 infantry accounts just to save like 10% of them. Not worth it at all if you’re running at scale, might as well just invest those funds into having 200 running infantry accounts instead.

Next, navigate to the Welcome DM sections of the Reaction Module and check the Enable function. To create a message template, click the hyperlinked “here” text beneath the speed value or navigate to it at the top of the Reactions module.

Additionally, if you anticipate receiving a lot of DMs from potential leads, you can enable the “Reply to Pending DMs” feature to automate the sending process to those users as well.

Or you are perfectly welcome to simply leave it disabled and use the Direct Manager module to answer any pending DMs with customized responses. Just open the Pending Requests folder and choose which message requests to accept and which to decline.

That’s about it for the execution of this strategy. Again, you are always welcome to experiment and enable/disable certain features that you believe are likely to improve your conversions. Objectives and optimal approaches can differ dramatically from use case to use case so you do not need to follow every strategy execution I write out in these docs to an exact tee. Testing and optimizing means virtually everything in this field so don’t be afraid to deviate when necessary.

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