For example, if companies use data that isn’t anonymized and without users’ permission, they can run into regulatory issues.
Intelligent tools should include clear use policies that define how data is captured, where it’s coming from, and what steps are taken to protect user identities.
4. Great Support
Despite best efforts,. And when problems happen, companies need the confidence that comes with reliable support.
If I’m considering an AI marketing tool, I’m looking at what level of support is offered for the product or the “tier” of the product I purchase.
If entry-level offerings come with minimal or no support, it’s worth carrying out a cost/benefit analysis.
Does it make sense to deploy tools (even free tools) if your azerbaijan phone number material team can’t get support when something goes wrong?By the same token, does paying more for 24/7 support make sense if this helps meet marketing goals?
5. Straightforward Pricing
Some tools offer free trials. Others require small or moderate monthly fees to provide access to all features, while still others may provide a set number of prompt requests or content pieces per month.
Here, the model doesn’t matter as much as the money. Before signing on with any AI marketing provider, ask for a full breakdown of their fees.
What does your monthly fee include? Are their limits? What happens if you go over those limits? Better to ask up-front and before the first bill arrives.
I don’t think any deployment can be perfect
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