POAS Course Part #4: Why POAS Is Needed in 2025

To really understand the impact of Profit on Ad Spend (POAS), you need to look at how advertising platforms work today.

Google, Meta, and TikTok have shifted heavily toward automation — and that changes everything about how your data is used.

Smart bidding is now in control. And what you feed the algorithm directly determines which products it pushes, which customers it targets, and ultimately, how profitable your brand becomes.

When you give the algorithm the wrong data, you get the wrong results.
When you feed it profit, you unlock a completely different level of performance.

Why POAS Matters More Than Ever in 2025

Automation has taken over digital marketing:

Google & Meta rely heavily on smart bidding
Marketers have less manual control than ever
The algorithm learns exclusively from the data you provide

If you give the algorithm revenue-only data, it will optimize based on what “looks good” — not what’s profitable.

This means:
– High-ROAS products that are actually unprofitable
– Discounted items that sell fast but lose margin
– Sale items with great CTRs but terrible profit
– Products with high return rates

The algorithm doesn’t know the difference.
It just sees revenue and optimizes accordingly.

POAS Ensures You Stop Training the Algorithm on Bad Data

When you switch your optimization target to profit, everything changes.

By feeding profit data directly into smart bidding, the algorithm learns from:

Your most profitable products
Your highest-margin conversions
The ad groups and campaigns that actually impact your bottom line

This is the only way to ensure the algorithm scales what deserves to be scaled.

Why Profit Data Alone Still Isn’t Enough: Returns Matter

Refunds are a massive part of ecommerce, and they distort your data if you don’t include them.

If you send revenue or profit without accounting for returns:

The algorithm will push products with high refund rates
It will continue to bid aggressively on items that appear profitable
Your “best” products may actually be net losses

Reaktion solves this by letting you optimize for Profit After Returns, so the algorithm learns which products stay profitable after the order, not just at checkout.

This keeps platforms like Google from scaling products that look strong on the surface but fail once returns hit.

The Real Impact: Algorithm + Profit Data = Better Bottom-Line Results

When you feed the algorithm the highest-quality data (true profit, full order costs, and refunds), it starts working in your favor.

Across brands using Reaktion, we see an average profit lift over 90 days of +21%.

Smart bidding becomes truly “smart” only when it’s trained on real profitability.

That’s what makes POAS a necessity in 2025, and why Reaktion is built to deliver the best possible data directly into the platforms that matter.

Get a near real-time view of what’s really happening on the go

Reaktion for iOS and Android gives your team a near real-time financial overview, clear insight into marketing performance, and an easy way to verify tracking health, all in one place, so you can make better decisions wherever work happens. If you are an agency, you can access all your clients in one app.