Author: cmsvizuh

There’s no single right way to handle building a marketing data model from scratch, but there is a default that works for most setups. Start there.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

We see the same mistakes repeat around measurement architecture for a multi-brand company, across very different setups. Most of them are avoidable in under an hour.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

We see the same mistakes repeat around picking a single source of truth for marketing numbers, across very different setups. Most of them are avoidable in under an hour.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

Before starting work on building a marketing data model from scratch, these are the questions that change the whole approach.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

Data engineering basics every marketer should know sounds simple until you’re three integrations deep. This is the version without the detours.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

When measuring marketing ROI when sales cycles are long goes wrong, it’s rarely the tool. It’s usually one of these three things.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

Before you touch measuring marketing ROI when sales cycles are long, run through this checklist. Skipping a step here is the usual reason numbers don’t match later.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

Building a marketing data warehouse on a startup budget looks straightforward on a slide and falls apart in the actual account. Here’s where it usually goes wrong.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

We see the same mistakes repeat around building a marketing data model from scratch, across very different setups. Most of them are avoidable in under an hour.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.

We see the same mistakes repeat around structuring UTM parameters so they survive a CRM import, across very different setups. Most of them are avoidable in under an hour.

• Where marketing measurement & data engineering usually breaks first in a live account.
• What to check before assuming the tracking tool is at fault.
• The minimum setup that holds up once traffic or campaigns scale.

This is part of what we handle under Marketing Measurement & Data Engineering at FunnelSheet. If this sounds like your setup, get in touch.