Every AI marketing vendor has the same pitch right now: more content, fuller pipelines, easier growth. If you run your own business, you’ve heard it enough times to be skeptical. That skepticism is the right starting point.
Vanity vs. value: the metric split that matters
The fastest way to screen an AI marketing pitch is to look at what metrics the vendor leads with. There are two categories, and most vendors default to the wrong one.

| Vanity Metrics | Value Metrics |
|---|---|
| Impressions | Sales Qualified Leads |
| Clicks | Opportunity Creation Rate |
| Likes and Shares | Pipeline Value |
| Website Traffic Alone | Customer Acquisition Cost |
| Content Volume | Closed-Won Revenue |
If a vendor’s case studies lead with impressions and clicks and stop there, that’s a signal. The operators who evaluate AI marketing services well ask for examples tied to customer acquisition cost, qualified lead growth, conversion rates, pipeline value, or closed revenue.
What to ask before you sign anything
Vendor claims are easy to make. The question is whether they can back them up with examples connected to real business outcomes for businesses similar to yours in size and model. Ask for specifics: which tools were used, over what timeframe, and what the before and after numbers looked like on metrics that connect to revenue.
The evaluation framework here is simple but worth applying consistently. Skip the impressions slides. Go straight to the pipeline and revenue columns.
