AI Insights & ROAS ‑ InsightIQ

Insight IQ has been a solid addition to our stack, especially as we’ve started scaling across more channels. Before this, we were constantly jumping between Meta, Google, and Shopify trying to piece together performance, and it never fully lined up.
What this tool does well is unify everything in a way that actually makes sense. You can clearly see how each channel contributes without the inflated numbers you typically get from ad platforms. That alone has made our budget allocation decisions a lot more grounded.
One feature that stood out is how it surfaces changes early. We’ve had a couple instances where performance was starting to slip at a campaign level, but it hadn’t hit our overall numbers yet. Insight IQ flagged it early enough for us to adjust before it became a bigger issue.
It’s also just easy to use. The interface is clean, and you don’t need to spend time building reports or exporting data. Our team can check in quickly and know what’s going on.
Not a flashy tool, but very practical. It does exactly what we need—gives us a clearer picture of performance and helps us make better decisions with our spend.

What stood out immediately with Insight IQ is how it simplifies complex data into clear decisions. Instead of digging through multiple dashboard, everything is centralized and interpreted for you. The platform highlighted discrepancies between our ad channel reporting and actual store performance, which helped us rebalance spend with more confidence.
Setup was quick, and the insights started kicking in almost instantly. It's become a core part of how we manage performance now.

We initially started using Insight IQ to double-check our attribution, but it quickly shifted how we evaluate performance as a whole. The biggest impact has been gaining clarity on what’s truly driving incremental revenue versus what’s being over-credited across channels. Some campaigns that looked great in-platform turned out to be far less impactful than we assumed.
The “True Blended ROAS” metric has become a core reference point for us. It’s straightforward, but it keeps decisions grounded in reality rather than inflated platform data. Once we leaned into that, a lot of our previous assumptions didn’t hold up.
Another standout is how the app surfaces insights. Instead of overwhelming you with data, it highlights what actually matters—both issues and opportunities—without unnecessary noise. That makes it much easier to stay consistent with using it.
Setup was quick and seamless, and we had everything up and running without much effort. Within a few days, we were already making informed adjustments.
Overall, it’s helped us shift from surface-level performance to a much clearer understanding of what’s actually driving profit.

The 'True Blended ROAS' feature is a game-changer for retail brands. We were making major budget decisions based on inflated platform numbers until Insight IQ showed us our true performance was nearly 80% lower than reported due to deduplication issues. Since using the platform, we’ve been able to reduce our reporting overhead by 60% and accelerate our data-driven decisions significantly. We’ve moved from reactive guessing to proactive optimization. For any e-commerce business doing over $1M, this isn't an optional tool it’s the foundation of your growth strategy. The 14-day free trial made it a no-brainer to test, and it proved its value in the first 48 hours.

As a founder, I was spending 5+ hours a week just logging into different dashboards and trying to manually calculate my blended ROAS in Excel. Insight IQ has cut my decision-making time by about 75%. The 'Warning' signals are my favorite feature it caught a CPA spike on our 'Summer Essentials' campaign before I even noticed the trend. It’s essentially a senior data analyst that never sleeps.

I finally realized my ad platforms were lying to me. Facebook said 4x ROAS, but my bank account said otherwise. Insight IQ showed me the actual attribution overlap and flagged $2k in monthly 'wasted spend' on TikTok that wasn't actually converting. If you're scaling on Shopify, you need this reality check.