ChatWithAds — diagnosing cross-platform ROAS drops and action plan

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Transcript

SPEAKER_01 0:00

Imagine waking up, checking your e-commerce dashboard, and uh seeing your profits just completely tanked yesterday.

SPEAKER_00 0:08

Yeah, that is not a good morning.

SPEAKER_01 0:09

Right. So instead of spending hours exporting spreadsheets to find out why, what if you could just, you know, text your database and ask what happened?

SPEAKER_00 0:17

That would certainly cure a lot of morning panic.

SPEAKER_01 0:20

Well, as usual, I was browsing our go-to spot, the AIagentstore.ai website, and I pulled up a page for a closed source freemium tool called Chat with Ads.

SPEAKER_00 0:31

Oh, yeah.

SPEAKER_01 0:32

It is an AI marketing analyst. And today our mission is exploring how it helps you turn raw data into actual reasoned business decisions. So it's basically like having an in-house data scientist you can just text in plain English.

SPEAKER_00 0:45

Aaron Powell Which is, I mean, a massive shift from traditional analytics. For sure. You aren't building these manual reports to diagnose a bad Tuesday anymore. You just ask plain language queries. But uh what is really fascinating here is its moderate autonomy.

SPEAKER_01 0:58

Aaron Powell Okay, how so?

SPEAKER_00 0:59

Well, it doesn't just fetch your return on ad spend metrics and spit numbers back at you. It autonomously analyzes that data to provide actual explanations and suggested actions.

SPEAKER_01 1:09

Wait, let me stop you right there. Because I mean, reading a spreadsheet is pretty easy. Any basic AI can do that now. Sure. Yeah. But my store's idea of a good ROI is completely different from, say, a store selling high-ticket electronics. How does it actually know what is profitable for my specific store?

SPEAKER_00 1:30

And that is the exact hurdle most AI tools stumble on. But this agent gets around it using a feature called business memory.

SPEAKER_01 1:38

Business memory?

SPEAKER_00 1:39

Right. It doesn't just read your data once, it permanently anchors your crucial context, your specific cost of goods sold, your margin targets, your refund rates directly into its base prompt.

SPEAKER_01 1:49

Oh, wow.

SPEAKER_00 1:50

Meaning every single query you run is mathematically filtered through your exact break-even point.

SPEAKER_01 1:55

Okay, so it's not just a basic calculator.

SPEAKER_00 1:57

Not at all.

SPEAKER_01 1:57

It's more like um like a GPS that actually knows the exact weight of your car and how much gas you have in the tank before it routes your ad spend.

SPEAKER_00 2:04

That is a great way to look at it. Because it actively anchors its logic to those specific targets, it stops looking in the rearview mirror at past sales and you know, starts looking forward.

SPEAKER_01 2:15

Meaning it can actually predict what happens next.

SPEAKER_00 2:17

Yeah. It enables rapid scenario modeling. So instead of guessing, you can ask it, hey, if I shift budget from search ads to social video this weekend, will I still hit my profit goal?

SPEAKER_01 2:28

Assuming refund rates stay the same and all that.

SPEAKER_00 2:30

Exactly. And it runs the math instantly, filtering through all that stored business context.

SPEAKER_01 2:34

Aaron Powell So for anyone listening who manages e-commerce budgets, you are modeling your profitability without actually risking a dime of real ad spend.

SPEAKER_00 2:43

Yeah. You bypass that terrifying, costly trial and error phase when you're trying to scale campaigns.

SPEAKER_01 2:49

You get to see the ripple effects on your bottom line before the money even leaves your account.

SPEAKER_00 2:53

Which is huge.

SPEAKER_01 2:54

It is. And uh it leaves us with this final thought.

SPEAKER_00 2:57

Let's hear it.

SPEAKER_01 2:58

If an AI can hold your strategic goals and your exact margin targets in its business memory to model future budget shifts with that level of precision, how long until we stop asking it questions and just let it make the campaign decisions entirely on its own.

SPEAKER_00 3:13

Wow. Yeah, that is the million dollar question for the future of marketing.

SPEAKER_01 3:16

Something to chew on. Anyway, you can check out the tool for yourself over at aiagentstore.ai. And as always, thank you so much for reading the podcast. See you next time.