a use case of your own analyst

Paid media: Meta Ads spend against Stripe revenue

Q: How does it link a campaign to revenue?

Through UTM tags and sign-up events: a Meta campaign leads to a tagged page, the sign-up with that tag lands in Amplitude, and the payment in Stripe. Your own analyst merges these three sources per campaign. The share of untagged payments is shown separately, so ROAS isn't overstated.

Q: Are Google Ads or TikTok supported?

Today the source list includes only Meta Ads Manager. Other ad platforms are connected by separate agreement after the demo, as long as they offer read-only data access. For now their spend can go into Google Sheets, and your own analyst includes it in the overall review.

Every week it matches Meta campaigns with paying customers from Stripe and says what pays off and where the spend goes nowhere.

Build your AI agent Everything your own analyst does

Paid media performance is a use case of your own analyst from sviy.ai: a weekly review of Meta Ads campaigns matched with Stripe revenue per campaign, the cost of a paying customer, spotted budget changes and suggestions on what to check. Only your team changes budgets and ad settings.

Meta Ads + Stripe
a review every week
never changes budgets

Your own analyst · Slack

Ad review for the week: spend $3,640, 61 new paying customers, ROAS 2.3 against a 2.0 target.

Change: on Thursday the "Lookalike 2%" budget rose from $80 to $140 a day, and its ROAS is 1.1. I suggest checking whether that was intended.

What hurts

Every week I export Meta Ads into a spreadsheet, and how much it brought in — I have no idea.

Someone paused a campaign, and we found out two weeks later.

We split the budget by feel, because nobody calculates ROAS per campaign.

What your own analyst does

Reads Meta Ads

Pulls spend, impressions, clicks and conversions for every campaign for the week.

Matches with Stripe

Links trials and paying customers to campaigns by UTM tags and calculates revenue and ROAS for each one.

Spots changes

Logs pauses, new campaigns and budget changes above the agreed threshold and posts them in the thread the same day.

Sends the review

Weekly: a ROAS chart, the best and worst campaigns, the cost of a paying customer, what to check. Once a month, a deeper analysis.

Sources and channels

Meta Ads Manager
Stripe
Amplitude
Slack or Telegram

Before → after

Before: Spend in one spreadsheet, revenue in another

After: ROAS per campaign with Stripe revenue

Before: Pauses and budget changes noticed by accident

After: A message in the thread the same day

Before: Budget split by feel

After: Suggestions with numbers; the decision stays with the team

What it looks like in the chat

09:00Ad review for the week: spend $3,640, 61 new paying customers, ROAS 2.3 against a 2.0 target.

Cost per paying customer, $ · 6 weeks

Change: on Thursday the "Lookalike 2%" budget rose from $80 to $140 a day, and its ROAS is 1.1. I suggest checking whether that was intended.

It wasn't. Which campaign should we scale instead?

"Retargeting": ROAS 3.4, cost per paying customer $38, and over 6 weeks it hasn't dropped as the budget grew. Confidence: medium — a sample of 140 customers. I don't touch budgets; the decision is yours.

Questions

Does it manage the ads?

No. Your own analyst reads Meta Ads Manager and Stripe read-only, calculates and suggests, while budgets, bids and pauses are changed by a person on your team. It spots changes in campaigns and reports them in the thread, but it never launches or stops anything itself.

How does it link a campaign to revenue?

Are Google Ads or TikTok supported?

Updated: October 8, 2026

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