It's 2026. Robots are everywhere, but people are still guessing at their ad spend.

It’s 2026. Remember when that was going to be the future? Flying cars? Robots everywhere? World peace (or at least whirled peas)?

We are getting close to all of that, but B2B spend still feels like a black box.

According to the Gartner CMO Spend report of 2024, B2B companies are doing multi-million dollar ad spends across multiple platforms (Google, LinkedIn, Meta, Reddit, the list goes on), but most CMO’s still can’t answer the simple question of “What should we do to make things better?”.

Its a real problem for a lot of people, but the issue comes down to fragmentation across the networks. Marketers have data that lives in multiple places including LinkedIn Campaign Manager, Google Ads, Meta Ads Manager, their CRM and a myriad of other systems.

Each of these systems optimizes for their own metrics, not for your pipeline, so you (or your team) spends hours digging through the data, exporting that data to CSV’s, building all sorts of complex spreadsheets just to get an idea.

It’s a process that takes hours, but ends up in a theoretical discussion when an executive asks why. There are a lot of vibes in the room, but no one has data.

So while we do live in the future, we are still vibing when it comes to our decision making processes as it pertains to our ad spend. As Andy Grove once said, without data, the only opinion that matters is mine (this is paraphrased, Andy never said that to me).

Attribution alone doesn’t answer “what changed and why” and as a result, we’ve normalized massive budgets w/o any real time clarity into what is working and what isn’t. If you’re a modern team, you don’t just need clarity, you need direction and an explanation too.

This is what we are building at Yirla. We are turning your ambiguous paid data into clear, actionable answers. Come along for the ride.