OHMNI

Marketing Technologies

Three systems, three answers, one meeting

Analytics reports one figure. The CRM reports another. The ad platform claims credit for more conversions than you had leads. Everyone in the room knows the numbers disagree, and the meeting quietly becomes a negotiation instead of a decision.

The usual explanation is that the tools are configured badly. Sometimes true, but it is rarely the main cause.

The main cause is that a significant share of your visitors are never counted at all, because the script meant to count them is blocked before it loads. Browsers block it. Extensions block it. Networks block it.

You are not making decisions on partial data. You are making them on data that is biased in a direction you cannot see.

Then attribution finishes the job. The lead reaches the CRM without the campaign that produced it, so the only honest answer to what worked last quarter is that nobody knows.

Three signs the numbers are not load bearing

Your analytics number and your CRM number have never matched, and no one can explain the gap.

You cannot say which campaign produced last quarter's pipeline without opening a spreadsheet and guessing.

The dashboard is open in a tab nobody looks at, because looking at it does not change what anyone does next.

Where the missing visitors go

The visitor is real either way. The difference is whether the request that counts them goes to a domain the browser is willing to allow.

Nothing about your marketing changes when you fix this. Only the accuracy of what you already did.

Measurement that survives an ad blocker and a CFO

Analytics served first-party, from your own domain. The requests that get blocked are the ones going to known tracking domains, so moving the path onto your own removes most of that loss.

Server-side events for the things that matter most. A form submission is recorded from the server, so it counts even when the browser never reports it.

Campaign source carried all the way through. The source, campaign, and landing page travel with the lead into the CRM, so revenue can be traced back to the thing that caused it instead of assigned by whoever builds the deck.

Consent handled properly, denied by default and granted by choice, with the tracking behaving accordingly. A number you cannot defend legally is not an asset.

The goal was never a prettier dashboard. It is a number that holds up when someone senior pushes on it.

What you get

All of it on accounts in your name.

First-party

Analytics runs through your own domain, so blockers stop silently erasing a share of your traffic.

Server-side

The events that matter are recorded from the server, not left to a browser that may never report them.

Click to CRM

Source, campaign, and landing page follow the lead into your CRM and stay attached to the record.

Consent first

Denied by default, granted by choice, and the behavior matches the setting. Defensible either way.

Every account is created under your ownership. If we part ways you keep the history, which is the part that takes years to rebuild and cannot be bought back.

This will probably make your conversion rate look worse

When you start counting the visitors you were missing, the denominator grows. Traffic goes up, conversion rate goes down, and nothing about the business has changed.

That is not a regression. It is the first month you were looking at the truth.

We flag this before the work starts, because the alternative is a difficult conversation in month two about a metric that appears to have dropped. Any measurement partner who does not warn you about this has either not done it before, or is hoping you will not notice.

Your data,
your accounts.

The analytics property, the tag manager, the CRM, and the code that connects them are created under your ownership. We are invited in as a user.

That matters more here than anywhere else in the stack, because analytics history cannot be recreated. Lose access to three years of data and it is simply gone. Every account we touch is one you keep.

No. GA4 stays where it is useful, particularly for ads. We add first-party measurement alongside it so you have a number that is not silently reduced by blocking, and so the two can be compared. Running both is how you find out how big the gap was.

Want to know how big your measurement gap is?

We will compare what your analytics reports against what actually happened, and show you the difference. You keep the findings either way.

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