7:58 am, Monday

Every morning, someone on your team opens ten tabs.

Ten logins. Ten dashboards. Ten different definitions of what’s working. Cowisor is the one layer that reads all of them, and acts on what it finds.

Meta Ads Manager1/10
Cost per result$15.08
Google Ads2/10
Conv. value / cost3.41
TikTok Ads Manager3/10
Complete payment ROAS4.2
Klaviyo4/10
Placed order rate4.8%
Shopify5/10
Sessions converted2.9%
GA46/10
Key events48,200
Triple Whale7/10
Blended ROAS3.64
Amazon Seller Central8/10
ACoS28%
Semrush9/10
Visibility41.7%
Canva10/10
Designs this week37

None of these tools talk to each other.

The signals are there. They are just in fourteen different places, and they never meet.

Meta Ads · overnight

01:12CPA starts climbing

04:30Still climbing. Nobody’s awake.

09:00You open the dashboard

$800spent on bad traffic before the day started
TikTok vs Google · this week
TikTok
4.2×
Google
1.6×
Someone should move budget right now. The insight is split across two dashboards that have never met.
Klaviyo · quietly compensating
Email revenue is covering for weak paid performance. You think paid is fine. It isn’t.

You tried a general AI.

You pasted in your numbers and asked it to find the problem. It did. The reasoning was sharp and the suggestion was good. Then you went back and did every step yourself.

General AI is brilliant at thinking. It has no hands.

You

Here are last week’s numbers from Meta and Google. What’s wrong?

Chat assistant

Meta prospecting CPA rose 38%. Move about $4,200 a week to Google Search, where CPA is flat at $21.

Still your job

0 of 4 done by hand. Click to tick them off.

Then every platform built an AI that sees one room of the house.

Each one learned to optimise itself, inside its own walls. They are good at it. They just can’t see the rest of the house. Hover a room.

No platform’s AI sees this room. It’s the only one that matters.

What no one talks about
Meta’s AI will never tell you to spend less on Meta.Its objective is Meta performance.
Google’s AI will never tell you to move budget to TikTok.Its objective is Google performance.
No platform AI will ever recommend its competitor.Your objective is your revenue.

That isn’t a criticism. Their job is to make their platform perform better, not your marketing. The view that sees everything and has no stake in any of it has never existed.

So you hire someone to stitch it together.

It scales badly. Every platform you add, retail media, SMS, affiliate, influencer, needs more people just to read the data.

This is not a strategy. This is administration.

People needed just to read the data

4 platforms
8 platforms
12 platforms
+ retail media, SMS, affiliate

Their day, every day

09:00Open every platform
09:40Pull the numbers
10:30Paste them into a spreadsheet
11:15Find the pattern
12:00Decide what to do
14:00Go back into each platform and make the change by hand
+7 daysWait to see if it worked

Every tool you add makes you slower, not faster.

Slower to spot a problem

8 hrs

From the overnight spike to the morning dashboard check.

Slower to act on it

2 days

Pull, compare, decide, then make the change platform by platform.

Slower to know if it worked

1 week

Before anyone looks at the numbers again.

You pay for ten subscriptions and a team to operate them, and you still decide days after you should have. The stack was supposed to give you control. It gave you more to manage.

Cowisor

Built for what comes after all of that.

One layer that reads every signal across paid, email, commerce and analytics at the same time. It doesn’t just tell you what’s wrong. It acts on it.

Fourteen platforms, fourteen separate views.

Meta Ads

CPA +38%

Google Ads

Search CPA flat

TikTok Ads

ROAS 4.2×

Klaviyo

Flow revenue +18%

Shopify

KSA cart abandonment 71%

GA4

Sessions steady

Triple Whale

Blended ROAS 3.64

Amazon

ACoS 28%

Attentive

SMS unsubs 2×

Braze

Push overlaps SMS

Semrush

Guide fell to #6

Search Console

Clicks −12%

Creator CRM

Codes convert 5.8%

Canva

37 new designs

01

Read

Every connected platform, every 30 minutes, into one model of how your marketing is doing.

02

Decide

Signals measured against your objective, turned into specific actions with confidence and evidence.

03

Act

Approve and it runs: through the API where there is one, through computer use where there isn’t.

04

Learn

Every result is measured and fed back into the next decision.

Not a dashboard. Not another tab. Something that actually runs.

One layer. Two ways to run it.

For brands

Set an objective. Get a short list of what moves you toward it.

$500,000 by 31 Dec62% · on track
METAPause UAE Women 25–34 ad set−$240/day

An objective, not a dashboard

Every suggestion is ranked by how far it moves you toward your target.

Approve, dismiss or ask

Each action shows confidence, evidence and exactly how it will run.

Changes you can watch

Storefront edits run step by step on screen, then get measured for 48 hours.

It learns your brand

What worked for you feeds every future decision.

Open the brand demo Signed in as Layla Haddad, owner of Sana Beauty. Mock data.
For agencies

Every client in one portfolio, with one approval queue.

Oud & Ember
48%
Najd Coffee Co.
71%
Vela Home
44%

Portfolio pacing

Every client’s objective against the pace needed today.

Cross-client approvals

Filter by confidence or spend, select, approve in one pass.

Agency-wide policy

Let safe, reversible changes run without waiting. Route storefront edits to the client.

Patterns that transfer

What worked at one client is drafted as a playbook for the others.

Open the agency demo Signed in as Karim Mansour at Darebound. Mock data.

Close the ten tabs.Open one that runs.

Start in mock mode. Connect live platforms when you’re ready.