Which metrics does it calculate?

From campaign data: customer acquisition cost, return on ad spend, ROI as a percentage, revenue per customer, click through rate, and conversion rate, plus totals for each channel when your data has a channel column. From funnel data: each stage's count, its conversion from the stage before, its drop-off, the overall conversion rate, and the stage with the biggest drop.

What data does it need?

Numbers pasted in the chat or a CSV upload. Columns for spend, impressions, clicks, conversions, customers acquired, revenue, and channel map to the metrics; for a funnel, one count per stage, in order. A metric is left out when the data behind it is missing, for example ROAS without revenue.

How is this different from the AI Data Analyst?

The data analyst profiles any dataset: column summaries, missing values, duplicates, outliers, and correlations. This tool is built for marketing numbers and returns marketing metrics.

It does not connect to your ad platforms or analytics tools, so it only works on the data you give it. It measures what happened in that data; it does not forecast future results.

AI Marketing Analytics

Paste or upload campaign or funnel numbers. Get CAC, ROAS, ROI, click and conversion rates, and the funnel stage losing the most people, explained in the chat.

Analyze

data

Tap a field to fill it in

Nothing sends until you start, and you can change anything afterwards.

What you get

Text in the chatCopy it wherever you need it. Keep chatting to adjust the tone, length, or wording.

How it works

Paste your numbers or upload a CSV of campaign or funnel data: spend, impressions, clicks, conversions, customers, and revenue, by channel or by funnel stage.
askROI's Marketing performance tool calculates the metrics (CAC, ROAS, ROI, click through and conversion rates by channel, or conversion and drop-off at each funnel stage) and explains what they mean for your spend.
Copy the numbers into your report, or keep chatting to compare periods, test a budget shift, or dig into one channel.

What people use it for

Channel budgetingsee which channels return the most revenue per dollar before you move budget.
Funnel diagnosisfind the one stage where most people drop out.
Campaign reviewsturn a raw ad report into CTR, conversion rate, and cost per result.
Board and client reportsget CAC and ROAS figures with a plain explanation of each.

Questions

Which metrics does it calculate?: From campaign data: customer acquisition cost, return on ad spend, ROI as a percentage, revenue per customer, click through rate, and conversion rate, plus totals for each channel when your data has a channel column. From funnel data: each stage's count, its conversion from the stage before, its drop-off, the overall conversion rate, and the stage with the biggest drop.
What data does it need?: Numbers pasted in the chat or a CSV upload. Columns for spend, impressions, clicks, conversions, customers acquired, revenue, and channel map to the metrics; for a funnel, one count per stage, in order. A metric is left out when the data behind it is missing, for example ROAS without revenue.
How is this different from the AI Data Analyst?: The data analyst profiles any dataset: column summaries, missing values, duplicates, outliers, and correlations. This tool is built for marketing numbers and returns marketing metrics.
What does it not do?: It does not connect to your ad platforms or analytics tools, so it only works on the data you give it. It measures what happened in that data; it does not forecast future results.