You’ve gotten approval for your new campaign and are excited to run it. The first day, you’re already seeing clicks roll in, so you add a little more budget, confident you’ve cracked the code.
What’s frustrating is that the reasons for this drop may not be immediately obvious. The algorithm may have changed or your creative wasn’t quite up to snuff. Or maybe the way you’re measuring return doesn’t reflect reality.
Whatever the cause, the fix starts with grounding your spend in what matters: verified purchases and true economic impact. Below, we cover 10+ strategies to help you boost your ROAS and scale your campaigns with confidence.
1. Fix Your ROAS Measurement: Stop Relying on Traditional Platform Estimates
Traditional ROAS calculations are built on shaky ground.
Bots inflate impressions and clicks. Hidden costs — like premium targeting fees, minimum spends, and fraud “protections” — cut into your margins. iOS ATT restrictions and evolving Chrome cookie controls complicate traditional platform measurement even more. And unclear attribution makes it impossible to calculate true breakeven ROAS.
But you don’t have to make budget calls off of numbers that don’t reflect reality.
Cash back rewards platforms are one way to increase your ROAS accuracy. Unlike traditional ads, cash back offers are displayed in a consumer’s banking app. This is useful because:
- You can shape your offer strategy using real purchase data (at your store and your competitors’ or partners’).
- There’s a direct line between exposure and behavior. You know whether a customer acted after an email or push notification.
- It’s pay-for-performance, so you only spend when someone redeems.
Incorporating more platforms like these into your marketing mix will produce a more accurate ROAS you can depend on.
2. Eliminate Wasted Spend: Target Verified Audiences Instead of Broad Demographics
Traditional audience targeting casts a wide net, and you’re paying for every empty click. Platforms like Google and Meta, especially, lean on broad demographics like age, gender, and interests that don’t prove intent. While that reach may seem impressive, it could be filled with people who will never convert. And, like we mentioned, bots make it worse by inflating impressions and clicks.
Competition compounds the problem. Every brand is targeting the same “40 year olds interested in fitness” or “parents in market for baby products” groups. That overlap drives auction prices up — and with muddy attribution, it’s hard to refine your strategy.
That’s why quality beats quantity. Smaller pools of verified spenders consistently outperform broad, inflated audiences. For example, instead of targeting “millennials interested in fitness,” you might target people who spent $50+ on fitness last month. That kind of precision reduces waste and gives you confidence that more of your ad dollars are aimed at real buyers.
Cash back offer platforms are helpful here, too. Some of them, like Kard, connect brands to Gen Z and Millennial audiences through modern banks, EBT providers, and receipt rewards platforms — all environments where users are actively engaged in financial planning and spending decisions. Because you can see which offers perform best using first-party transaction data, you can refine your messaging, adjust your spend, and even identify new partnership opportunities based on real purchase behavior.
3. Optimize Creative for Value Exchange: Move Beyond Attention-Grabbing to Value-Creating
Traditional ad creative is built to grab attention, with big headlines and bold CTAs. But users have grown numb to it. Even when an ad gets noticed, the promise in the copy often doesn’t match the landing page or the offer, causing major dropoff.
Offering value, like a discount, promo, or cash back, is what consumers actually want. They’re looking for ways to shop at their favorite stores without breaking the bank. If you can open that door, they'll walk right through it.
- It’s clear what they’re getting into. The ad explicitly says they’ll get $X off, X% cash back, or some other reward.
- If you’re using a rewards platform, they’re seeing the ad coming from their bank or credit card, which puts them in a spending (and budgeting) mindset.
- You can use results from your first few campaigns to adjust your creative, copy, rewards structure, and delivery method based on actual spending patterns (more on that next).
4. Scale High-Performing Campaigns: Use Transaction Data for Confident Budget Increases
Traditional platforms push you to scale on engagement signals that don’t guarantee purchases. That’s why performance so often degrades once budgets grow.
Whether it’s through card-linked offers, retail media networks, or loyalty programs tied to point-of-sale data, the principle is the same: growth decisions are based on verified transactions, not clicks or views. Real-time transaction feedback also shows you whether your campaigns hold up as you feed them more budget. Best of all, audiences are defined by proven spending behavior, so quality doesn’t erode the way it does with broad demographic pools.
Instead of gambling on whether bigger budgets will hold, you can project outcomes with far more certainty.
5. Leverage Rewards Mechanics: Turn Advertising Into Customer Value Creation
Traditional ads have some clear limitations. For one, they feel like an interruption, blocking whatever the consumer is trying to read or look at. And they don’t really give consumers anything in return.
Rewards-based campaigns flip that script. Cash back offers, loyalty points, or category-specific discounts provide tangible value up front, and consumers respond. 72% will join a loyalty program before making their first purchase — and companies with those loyalty programs see a big payoff.
McKinsey found that top-performing loyalty programs boost revenue by 15 to 25% annually, thanks to higher basket size and purchase frequency. Loyalty members are about 60% more likely to spend more. When customers know they’re going to receive some kind of reward for shopping at your stores, they’re more likely to have a positive association with your brand — and remember it when they’re buying something new.
To get the highest ROAS, think about:
- Increasing reward percentages for higher spending or specific loyalty milestones.
- Offering a tiered rewards structure (15% first purchase, 10% off second purchase, 5% off third purchase) to build customer loyalty.
- New ways to get more rewards, like offer boosts based on engagement.
6. Choose the Right Environment to Meet High-Intent Audiences
Scaling on traditional ad platforms is tough. Auctions are crowded, driving CPMs and CAC higher with every new bidder. Broad audiences look impressive but include bots and low-quality impressions. And with each walled garden using its own attribution model, comparing performance is guesswork. Costs keep rising, but the returns don’t always follow.
That’s why more brands are shifting budget into intent-rich environments like retail media networks, loyalty ecosystems, and cash back offers. These channels tie ads directly to purchase behavior and reach customers when they’re in planning or spending mode, not when they’re casually scrolling. High-intent environments are where performance marketers are finding sustainable ROAS growth — and it shows:
- A McKinsey survey found that 82% of advertisers plan to increase retail media spend within a year.
- EY found that 41% of consumers say that the primary reason they remain loyal to a brand is because of a loyalty program.
- Per GWI, 2 in 5 Gen Z actively search for coupons before buying.
Did you know: Kard connects merchants to tens of millions of consumers through banking apps, rewards platforms, and EBT environments, delivering scalable, performance-based reach without the high costs or risks of traditional media buying. Powered by first-party transaction data, Kard enables merchants to precisely target purchase-ready consumers based on real spending behavior. With no upfront media costs and a pay-for-performance model, every dollar is tied to real results.
Before you start incorporating these new environments into your strategy, pilot with a small test budget (10-20%). That way, you can compare performance to some of your other campaigns. Most merchants discover significantly higher ROAS through financial app audiences, leading to gradual budget migration from traditional platforms to other more verifiable platforms.
7. Optimize the Post-Click Experience
Traditional traffic is uneven: one visitor might be casually browsing, another might be comparison shopping, and a third has no intent at all. That unpredictability forces brands to over-engineer landing pages, piling on persuasion tactics to squeeze out conversions. But cluttered pages and inconsistent messaging can overwhelm consumers and add friction at checkout.
Loyalty programs and cash back offers don’t have that problem because there is no landing page — you just redeem an offer or points, and make a purchase. All you have to do is confirm that the consumer is getting their reward (and follow through on that promise).
Cash back offers have another perk in that they are displayed alongside other popular brands in banking and receipt apps. So you have an opportunity to build brand awareness and catch a consumer’s attention, even if they don’t buy right away. And some platforms, like Kard, don’t even charge you for these impressions.
When someone arrives from a loyalty program, retail media placement, or card-linked offer, on the other hand, they already expect value. The landing page doesn’t need to oversell; it needs to confirm the offer, make redemption effortless, and reinforce trust with cues like recognizable partner logos or verified reward details.
8. Test and Iterate: Use Transaction Data for Rapid Optimization
Testing on traditional platforms often leads you in circles. As we’ve already discussed, bot traffic and attribution gaps pollute A/B test results, attribution windows stretch feedback across days or weeks, slowing iteration, and the metrics you’re optimizing for (clicks, impressions, or even modeled conversions) don’t always align with revenue. To make matters worse, each platform requires its own testing protocols, making it nearly impossible to compare results across channels.
Transaction-based platforms (cash back rewards, loyalty programs) solves some of these problems. Because every result is tied to a verified purchase, there are no false positives from bots to worry about. You can also see which emails or push notifications prompted redemption. Feedback is faster, too: real-time transaction notifications show quickly whether a test is working, so you can double down or pivot without wasting budget.
From there, you can build a more advanced testing framework:
- Compare creative or audience variations based on verified purchase rates.
- Segment tests by financial behavior, like shoppers who spend $X monthly in a certain category.
- Experiment with reward structures, delivery methods, and redemption flows.
- Run timing analyses to spot when purchase decisions are most likely.
- Test value propositions against actual redemption, not just clicks.
This unified approach turns testing into a fast, reliable driver of ROAS.
9. Reduce Customer Acquisition Cost: Focus on Verified High-Value Audiences
Rising CAC is one of the biggest pain points in performance marketing. As auctions on Google and Meta become more competitive, you end up paying more for customers who may never convert. Broad targeting amplifies the problem by filling your funnel with low-value users. Attribution uncertainty only makes it harder to know what you’re truly paying per customer.
Verified audiences help control these costs. When you start with people who’ve already engaged with your brand, you reduce wasted impressions. Exclusive environments, think retail media networks, loyalty ecosystems, and card-linked rewards programs, offer you that verified audience and face less competitive pressure than traditional ad auctions — keeping acquisition costs stable.
Plus, these channels often deliver higher retention and lifetime value, making the economics stronger over time.
10. Implement Budget Allocation: Data-Driven Spend Distribution
Spreading spend across Google, Meta, and programmatic means juggling inconsistent attribution models. What looks like a win in one platform can look underwhelming in another, leaving marketers second-guessing their allocation, eating up time and resources.
A cleaner alternative is to anchor allocation in transaction-level performance.
When all channels are measured against the same standard (verified revenue) budget decisions get a lot easier. You can move dollars toward what’s working, cut back on underperforming audiences, and scale spend with more predictability. Cash back offers and other rewards programs are your best bet. Like we suggested earlier, start small — run one campaign to confirm how much easier it is to make decisions with consistent performance data.
The best way to improve your ROAS is to anchor spend on real purchases and real data. Kard gives retailers a direct line to purchase-ready audiences in the moments that matter.
Ready to turn performance marketing into measurable growth? Get in touch today.
Frequently Asked Questions About Increasing Return on Ad Spend
Q: How can you increase return on ad spend (ROAS)?
A: Increasing ROAS requires precision targeting on verified audiences, eliminating bot traffic through financial app advertising, using closed-loop attribution to connect ads to actual purchases, and regularly testing based on transaction outcomes rather than engagement metrics. Traditional platform optimization faces fundamental limitations that financial app advertising solves.
Q: What are some examples of increasing ROAS in online advertising?
A: Examples include migrating from broad demographic targeting to verified financial behavior audiences, transitioning spend from traditional platforms to rewards-based media in financial apps, implementing card-linked offers for direct attribution, and scaling campaigns based on verified transaction data rather than estimated conversions.
Q: How do you improve ROAS for Facebook ads?
A: Facebook ROAS improvement faces limitations from iOS attribution restrictions and broad audience competition. Superior results come from migrating budgets to financial app advertising with verified audiences, transaction-based attribution, and rewards integration that Facebook cannot match.
Q: What is a good ROAS benchmark?
A: ROAS benchmarks vary significantly by industry and margin structure. Financial app advertising provides transaction-based measurement for accurate performance evaluation, avoiding the attribution uncertainty and bot traffic issues common in traditional platform estimates. Focus on verified transaction outcomes rather than industry averages for optimal optimization.
Q: Is there a ROAS calculator available to use?
A: Use "ROAS = Verified Revenue ÷ Ad Spend" for accurate calculation. Traditional platforms use estimated revenue creating false calculations. Financial app advertising provides transaction-verified revenue for precise ROAS measurement and optimization decisions.
Q: How do you optimize ad spend for better results?
A: Optimizing spend requires verified audience targeting, eliminating bot traffic through financial app environments, transaction-based attribution for accurate performance measurement, and rewards integration that creates customer value rather than advertising interruption.
Q: What is the 3-2-2 method for Facebook ads?
A: The 3-2-2 method typically means testing 3 creatives, 2 primary texts, and 2 headlines, but Facebook's attribution limitations and broad audience competition reduce effectiveness. Financial app advertising provides superior testing through verified audiences, transaction outcomes, and rewards optimization.
Q: What's a good ROI for Google ad spend?
A: Google Ads ROI faces attribution challenges and bot traffic inflation. Superior ROI comes from financial app advertising with verified transaction measurement, exclusive audience access, and rewards integration that Google cannot provide.
Q: What are key tactics for improving ROAS in digital campaigns?
A: Key tactics include migrating from traditional platforms to financial app advertising, implementing transaction-based attribution, targeting verified financial behavior audiences, using rewards mechanics for customer value creation, and optimizing based on verified purchase outcomes.
Q: Why is closed-loop attribution critical for maximizing ROAS?
A: Closed-loop attribution connects advertising directly to verified purchases, eliminating attribution uncertainty that plagues traditional platforms [source]. Financial app advertising provides native closed-loop measurement through card-linked offers, enabling accurate ROAS optimization impossible with traditional platform estimates.
Q: How do rewards-based campaigns drive stronger ROAS than traditional digital ads?
A: Rewards-based campaigns in financial apps eliminate traditional advertising problems: no bot traffic, verified high-intent audiences, transaction-based attribution, and immediate customer value creation. This combination consistently produces higher ROAS than traditional platform advertising.
Q: What are common mistakes that lower ROAS - and how can you avoid them?
A: Common mistakes include relying on traditional platform attribution, targeting broad audiences, ignoring bot traffic impact, and optimizing for engagement rather than transactions. Solutions include migrating to financial app advertising with verified audiences and transaction-based measurement.
Q: What digital advertising trends should performance marketers watch to improve ROAS?
A: Future ROAS growth comes from financial app advertising, first-party transaction data, rewards integration, and verified audience targeting. Traditional platforms face increasing limitations, while financial app advertising provides sustainable competitive advantages.
