Do you rely on ROAS, profit, customer acquisition, blended performance, or mostly intuition?

Do you rely on ROAS, profit, customer acquisition, blended performance, or mostly intuition?

Curious which reports actually take the most effort to pull together and whether anyone has found a better way...

Whether it’s reporting, inventory, customer service, or something else, what would you happily never do manually again?

Whether it’s reporting, inventory, customer service, or something else, what would you happily never do manually again?

Whether it’s reporting, inventory, customer service, or something else, what would you happily never do manually again?

Feels like there are always a few tasks that eat up hours every week. Curious what everyone else spends the most time on.

Feels like there are always a few tasks that eat up hours every week. Curious what everyone else spends the most time on.

Feels like there are still a lot of manual processes, even with all the tools available.
If you could get rid of one recurring task tomorrow, what would it be?
Just curious what everyone else spends the most time on...

Feels like there are still a lot of manual processes, even with all the tools available.

If you could get rid of one recurring task tomorrow, what would it be?

Just curious what everyone else spends the most time on...

One ecommerce brand came to us after spending months trying to make sense of their data.

Their Shopify revenue didn't match GA4.

Meta showed profitable campaigns, but blended ROAS told a different story.

Their BI dashboards looked polished, yet every Monday morning the team still spent hours exporting CSVs, comparing reports, and debating which numbers were actually correct.

The problem wasn't a lack of data.

It was that every platform was measuring a different part of the business, and nobody had confidence in the complete picture.

So we started with the basics.

We connected their entire data stack, validated every source, surfaced inconsistencies automatically, and gave the team one place where marketing, finance, and operations could all work from the same numbers.

The biggest change wasn't a flashy dashboard.

It was the conversations.

One ecommerce brand came to us after spending months trying to make sense of their data.

Their Shopify revenue didn't match GA4.

Meta showed profitable campaigns, but blended ROAS told a different story.

Their BI dashboards looked polished, yet every Monday morning the team still spent hours exporting CSVs, comparing reports, and debating which numbers were actually correct.

The problem wasn't a lack of data.

It was that every platform was measuring a different part of the business, and nobody had confidence in the complete picture.

So we started with the basics.

We connected their entire data stack, validated every source, surfaced inconsistencies automatically, and gave the team one place where marketing, finance, and operations could all work from the same numbers.

The biggest change wasn't a flashy dashboard.

It was the conversations.

One ecommerce brand came to us after spending months trying to make sense of their data.

Their Shopify revenue didn't match GA4.

Meta showed profitable campaigns, but blended ROAS told a different story.

Their BI dashboards looked polished, yet every Monday morning the team still spent hours exporting CSVs, comparing reports, and debating which numbers were actually correct.

The problem wasn't a lack of data.

It was that every platform was measuring a different part of the business, and nobody had confidence in the complete picture.

So we started with the basics.

We connected their entire data stack, validated every source, surfaced inconsistencies automatically, and gave the team one place where marketing, finance, and operations could all work from the same numbers.

The biggest change wasn't a flashy dashboard.

It was the conversations.

Instead of asking, "Whose report is right?" they started asking, "What should we do next?"

That's exactly why we built Trivas.

Not to create another dashboard...but to eliminate the confusion that comes from having too many of them.

Has anyone else seen teams spend more time validating data than actually acting on it?

Every ecommerce platform gives you a piece of the picture.

-Shopify shows revenue.

- Meta shows ad performance.

- Google Ads tracks campaigns.

- Amazon has its own metrics.

- TikTok reports something different.

The challenge isn't collecting more data...it's connecting it.

The brands that move fastest aren't checking more dashboards. They're bringing every data source together to understand what's really driving performance.

Different platforms. One complete picture.

#ecommerce #data #trivas #B2B

Every ecommerce platform gives you a piece of the picture.

-Shopify shows revenue.

- Meta shows ad performance.

- Google Ads tracks campaigns.

- Amazon has its own metrics.

- TikTok reports something different.

The challenge isn't collecting more data...it's connecting it.

The brands that move fastest aren't checking more dashboards. They're bringing every data source together to understand what's really driving performance.

Different platforms. One complete picture.

#ecommerce #data #trivas #B2B

Every ecommerce platform gives you a piece of the picture.

-Shopify shows revenue.

- Meta shows ad performance.

- Google Ads tracks campaigns.

- Amazon has its own metrics.

- TikTok reports something different.

The challenge isn't collecting more data...it's connecting it.

The brands that move fastest aren't checking more dashboards. They're bringing every data source together to understand what's really driving performance.

Different platforms. One complete picture.

#ecommerce #data #trivas #B2B

Every ecommerce platform gives you a piece of the picture.

-Shopify shows revenue.

- Meta shows ad performance.

- Google Ads tracks campaigns.

- Amazon has its own metrics.

- TikTok reports something different.

The challenge isn't collecting more data...it's connecting it.

The brands that move fastest aren't checking more dashboards. They're bringing every data source together to understand what's really driving performance.

Different platforms. One complete picture.

#ecommerce #data #trivas #B2B