Three Ventures

03/13/2025

After guiding countless businesses through Copper to HubSpot transitions, I've witnessed the exact moment where things fall apart:

Copper's "Opportunity" structure fundamentally clashes with HubSpot's "Deal" architecture - creating a data translation nightmare that most migration specialists overlook.

The core issue?

Copper's custom fields lack the relational context that HubSpot's association-based model demands. This isn't just a technical hiccup - it directly undermines your AI-powered sales forecasting from day one.

We've watched companies lose months of pipeline context when their stages didn't translate correctly. Their expensive AI deal-scoring tools became essentially useless overnight.

💡 Solution: Work with architects who understand both platforms at the DNA level - not just field-mappers following a checklist.

Remember: Your AI is only as intelligent as its data foundation. No matter how sophisticated your new platform, garbage migrations create garbage insights.

07/18/2022

Curious about Google Analytics 4? We created the infographic for the 14 ways it will help boost your marketing.

Enable customer insights, optimize marketing campaigns, and quantify your marketing ROI with this Google Analytics 4 infographic.

07/18/2022

Why you're seeing "other" in your reports.

Our clients have been experiencing several issues with how their data is being presented in their Google Analytics (GA4) reports. Some of our clients are seeing data that does not make sense or has a high degree of volatility. They are also seeing many of their results grouped into one bucket of “...

07/18/2022

Our very own, Damon Gudaitis will be leading a workshop with the Digital Analytics Association on August 4th discussing and optimizing for faster and cheaper reporting tables.

In this 4-hour, interactive workshop, you will learn how to use dbt to turn your raw GA4 BigQuery export into optimized reporting tables...

03/23/2021

When was the last time you thought about how your Salesforce CRM architecture could be the single most important tool in your business?

Your CRM install - paired with Einstein AI by SalesForce - is going to be the driver of sales & pipeline insights in the 2020s.

Just because the tools can, doesn't mean they will. The architecture of your tables for leads, opportunities, contacts, companies, products, etc. will be the number one limiting factor for your success as an organization. These new products require your data to be consistent & relational across the many tables in CRM.

So, when you first setup your CRM install - did you have a business questions to be answered document? This artifact would define all the questions that your CRM should be able to answer. The questions listed are then translated into a measurement framework - or an artifact that specifies what data will be needed to answer your questions.

The measurement framework is then used to define how your tables in CRM need to be set up/evolved overtime to answer your original questions.

Think - did you define these questions in the first place? If you did, were they reflective of your business today?

If you said yes to both - have you successfully been able to answer your questions with your CRM data?

03/17/2021

As marketers continue to understand more about Google Analytics 4 (GA4) & it's new capabilities, they seem to get more and more excited about what it can do for them. Here's a great way that you can turn such excitement into actual insights you can begin to apply in daily efforts.

These two audiences are incredibly helpful as the holidays come up for Memorial Day, Spring Break, & Fourth of July. If you have limited products in inventory, or maybe a limited amount of options for reservations - it's incredibly helpful to use these metrics to help predict demand coming in the next seven days.

This predication of demand can help plan staffing efforts in states where re-opening is happening slowly. It can also ensure that if inventory is running low for hot & high margin products that this can be relayed to management.

Three Ventures is continually recommending that you setup Google Analytics 4 properties as soon as possible. This way you will have historical data when the cutover from GA3 happens - as well as being able to use all the new machine learning features for insights.

Please feel free to reach out to me with questions about GA4 or for support migrating to it.

Introducing predictive capabilities in the App + Web property in Google Analytics. Use predictive metrics to build audiences you can later reach in Google Ads or to do further analysis in the Analysis module.

02/24/2021

A paradigm shift is happening with web analytics - as lead by Google Analytics 4 (GA4). This shift will effectively push collection of data to an event based model which will be standardized on web, mobile, and offline.

A paradigm shift is happening with web analytics - as lead by Google Analytics 4 (GA4). This shift will effectively push collection of data to an event...

02/23/2021

A paradigm shift is happening with web analytics - as lead by Google Analytics 4 (GA4). This shift will effectively push collection of data to an event based model which will be standardized on web, mobile, and offline.

The biggest change that you the digital marketer, CMO, or business owner needs to be aware of is that your current Google Analytics data is not compatible with this new model. Meaning you will lose the following ability over time:

Perform historical analysis across a current Google Analytics property vs. a GA4 property within the interface.

When the GA4 property becomes the standard - your tracking code implementation, configuration, and reporting will all need to change. This is because when the cutover happens - collection of universal analytics data will stop.

To best prepare for this - you should be converting your current tracking to a gtag implementation - and setting up a GA4 property. This property will allow you to have historical data starting today - so in 2 years or so you will have multiple years of data within a property!

You should also have a plan to update this property on a quarterly basis as new features are released to bring it to current with universal analytics features.

Questions? Leave them in the comments below.