Targeting Options: Boost ROAS in 2026

The year 2026. Maria, the owner of “The Urban Canvas,” a boutique art supply store in Atlanta’s vibrant Old Fourth Ward, was staring at her quarterly ad spend report with a knot in her stomach. “Another $5,000 gone, and for what?” she muttered to her store manager, David. Their online sales, once a small but steady stream, had plateaued, and foot traffic, despite their prime location near the BeltLine Eastside Trail, wasn’t growing as fast as she’d hoped. Maria knew her products were exceptional – artisanal paints, custom framing, unique pottery wheels – but her targeting options felt like shooting in the dark. She was running generic Meta Ads campaigns, broad Google Search ads, and even dabbling in Pinterest, but the return on ad spend (ROAS) was abysmal, hovering around 1.2x. “We’re just throwing money at the internet,” she sighed, “hoping something sticks. How do we find the right people without breaking the bank?”

Maria’s frustration is a narrative I’ve heard countless times from small business owners and even marketing directors at larger firms. The digital advertising landscape is a minefield of possibilities, and without a clear strategy for narrowing your focus, you’re doomed to inefficiency. Many marketers fall into the trap of thinking “more impressions” equals “more sales.” That’s a relic of a bygone era. Today, it’s about precision. It’s about understanding that every dollar spent on someone who will never buy your product is a dollar wasted. The real challenge isn’t just reaching people; it’s reaching the right people. So, how do we shift from spraying and praying to surgical strikes in our marketing efforts?

The Evolution of Audience Understanding: Beyond Demographics

When I first started in this business over a decade ago, our targeting options were fairly rudimentary. We’d segment by age, gender, location, and maybe some broad interests. That’s a good starting point, sure, but it’s like trying to find a specific book in a library by only knowing its color. Maria, for instance, was targeting “people interested in art” in the Atlanta metro area, aged 25-55. Sounds reasonable, right? Wrong. That’s millions of people, many of whom might occasionally like an art post but have no intention of buying a $75 tube of pigment or a $500 pottery wheel. This is where we need to dig deeper, moving beyond surface-level demographics to psychographics and behaviors.

I remember a client, a high-end furniture retailer in Buckhead, who swore by demographic targeting. Their average customer was affluent, 45-65, and lived in specific zip codes. Their ads were performing okay, but not spectacularly. We sat down and started brainstorming. What did these customers actually do? Where did they spend their time online? What were their aspirations, their values, their pain points? We discovered they frequently researched interior design trends, followed specific architecture magazines, and often engaged with content related to sustainability and artisanal craftsmanship. We shifted their Meta Ads targeting to include these psychographic interests, layered with behavioral signals like “frequent travelers” (indicating a certain lifestyle) and “engaged shoppers” (a Meta behavior signal for people who click on ads and make purchases). The result? A 40% increase in qualified leads within the first month. It wasn’t about reaching more people; it was about reaching more relevant people. According to a eMarketer report from late 2025, companies leveraging advanced psychographic segmentation see an average 28% higher customer lifetime value.

Unpacking Maria’s Dilemma: From Broad Strokes to Fine Lines

Back to Maria at The Urban Canvas. Her problem wasn’t a lack of interest in art in Atlanta; it was a lack of precision. We began by dissecting her existing customer base. Who were her best customers? Not just demographically, but behaviorally. Were they hobbyists, professional artists, students, or perhaps people buying gifts? What kind of art did they create? Did they prefer specific brands? This kind of deep dive is non-negotiable. If you don’t understand your best customers, how can you expect to find more of them?

We implemented a few strategies:

1. First-Party Data Activation: Maria had an email list of several thousand customers. We uploaded this list to Google Ads and Meta Ads Manager to create custom audiences. More importantly, we used these lists to build lookalike audiences (or similar audiences on Google). This is gold. These platforms use their vast data sets to find new users who share characteristics with your existing, proven customers. I’ve seen lookalike audiences outperform broad interest targeting by 2x in terms of conversion rate.
2. Behavioral and Intent-Based Targeting: For Google Search Ads, instead of just “art supplies Atlanta,” we started targeting long-tail keywords that indicated stronger intent, such as “where to buy professional oil paints Atlanta” or “pottery wheel classes Old Fourth Ward.” We also used Google’s in-market audiences for “Art & Craft Supplies” and “Home & Garden > Interior Design Services,” which identifies users actively researching or intending to purchase within those categories. On Meta, we targeted interests like “fine art,” “art history,” “ceramics,” and even specific brands of art supplies Maria stocked. We then layered these with behaviors like “online shoppers” and “small business owners” (since many artists are entrepreneurs).
3. Geographic Precision: While Atlanta metro was too broad, we didn’t just narrow it to Old Fourth Ward. We used a radius around the store, but also targeted specific affluent neighborhoods known for artistic communities like Candler Park, Inman Park, and Virginia-Highland. We also excluded areas that historically showed low engagement, even if they were geographically close.

This granular approach is critical. It’s not enough to say, “My audience is in Atlanta.” You need to know which streets they walk, which coffee shops they frequent (virtually, through location data), and what they dream about.

The Power of Exclusion: What Not to Target

Here’s a concept many marketers overlook: exclusion targeting. It’s just as important as inclusion. Why pay to show your ad to someone who has already bought your product, or someone who is clearly not a good fit? Maria was showing her general art supply ads to people who had recently purchased a pottery wheel from her. That’s wasted money. We created exclusion lists for:

• Recent purchasers (within the last 30-60 days).
• Website visitors who had spent less than 10 seconds on the site (indicating low interest).
• Users who had added items to their cart but abandoned it (these get a separate, specific retargeting campaign, not general awareness ads).

This might seem like a minor detail, but it can significantly improve your ROAS. I once worked with an e-commerce brand that saw a 12% reduction in wasted ad spend simply by meticulously building and updating their exclusion lists. It’s like pruning a garden – you remove the dead branches so the healthy ones can flourish.

A/B Testing and Iteration: The Scientific Method of Marketing

No matter how good your initial targeting options are, you’ll never get it perfect on the first try. This is where A/B testing becomes your best friend. For Maria, we didn’t just create one campaign for “professional artists.” We created two, sometimes three, variations of the ad creative and copy, each targeting the same audience segment but with a slightly different angle. One might highlight the quality of the materials, another the inspiration they can provide, and a third, perhaps, a limited-time workshop. We then let the platforms run these variations, constantly monitoring which performed better in terms of clicks, conversions, and cost per acquisition (CPA).

For example, for her pottery wheel sales, we tested two main audience segments:

1. Segment A: Lookalike audience based on past pottery wheel purchasers, layered with interests in “ceramics,” “pottery,” and “sculpture.”
2. Segment B: Broad “art supplies” interest group, layered with “home decor” and “DIY projects,” specifically excluding those who had bought a pottery wheel in the last 6 months.

For each segment, we ran two ad creatives:

• Creative 1: A high-definition video of a potter expertly throwing clay, focusing on the craftsmanship and meditative aspect.
• Creative 2: A carousel ad showcasing various pottery wheels and finished pieces, emphasizing the versatility and creative potential.

Within two weeks, it became clear: Segment A (the lookalike audience) combined with Creative 1 (the video of the potter) was outperforming all other combinations by nearly 25% in terms of conversion rate. We paused the underperforming variations and reallocated the budget. This iterative process is not optional; it’s fundamental. As an IAB report from Q4 2025 highlighted, marketers who consistently A/B test their ad creatives and targeting parameters see an average 18% higher ROAS compared to those who “set and forget.”

The Future is First-Party: Preparing for a Cookieless World

Here’s an editorial aside: If you’re not actively thinking about first-party data, you’re already behind. The deprecation of third-party cookies, which Google Chrome is slated to complete by mid-2027, is going to fundamentally change how we approach targeting options. Many of the behavioral and interest-based targeting methods we rely on today will become significantly less effective. What does this mean for professionals? It means a relentless focus on collecting your own data. For Maria, this means enhancing her website’s analytics, encouraging email sign-ups with compelling offers, running in-store promotions that link to online profiles, and using customer loyalty programs. The data you collect directly from your customers – their purchase history, their interactions with your website, their email engagement – will become your most valuable asset. Platforms like Google’s Privacy Sandbox and Meta’s Conversions API are steps in this direction, but they demand a proactive approach to data collection and integration from businesses.

Resolution and Lessons Learned

Six months later, Maria’s quarterly report looked dramatically different. Her ROAS had climbed from 1.2x to a healthy 3.5x, and her online sales had increased by 60%. The initial knot in her stomach had been replaced by a sense of strategic confidence. She was still spending on ads, but now every dollar felt like an investment, not a gamble. Her store, The Urban Canvas, located just off Edgewood Avenue, was thriving, attracting artists from across the metro area, not just those who happened to stumble upon her. She even opened a small studio space for workshops, a direct result of the increased revenue and brand recognition. “I thought I knew my customers,” Maria told me recently, “but I only knew them superficially. Now, I feel like I understand their creative journey, and that makes all the difference.”

What can we learn from Maria’s journey? It’s simple, yet profoundly impactful: effective targeting options in marketing are not about casting the widest net; they’re about aiming for the heart of your ideal customer. It requires moving beyond assumptions, embracing data, constantly testing, and adapting to an evolving digital landscape. The professionals who excel in the coming years will be those who master the art of precision, transforming broad audiences into highly engaged, loyal customers.