Smarter Targeting: 4 Myths That Kill Marketing ROI

There’s a shocking amount of misinformation circulating about targeting options in marketing, leading to wasted ad spend and missed opportunities. Are you ready to separate fact from fiction and finally get your campaigns in front of the right audience?

Key Takeaways

  • Myth: Broad targeting always wastes budget. Fact: Broad targeting, paired with strong creative, can uncover valuable audience segments, especially with platforms like Meta Ads using AI-driven delivery.
  • Myth: Retargeting is creepy and ineffective. Fact: Personalized retargeting, showing users products they viewed but didn’t purchase, can recover up to 26% of lost sales, according to research by Dynamic Yield.
  • Myth: Demographic targeting is enough. Fact: Layering demographic data with interest and behavioral targeting on platforms like Google Ads can improve conversion rates by 15-20%.
  • Myth: You should always exclude audiences who have already converted. Fact: Excluding converted audiences can prevent upselling and loyalty-building campaigns. Instead, segment and target them with offers tailored to their purchase history.

Myth: Broad Targeting Is Always a Waste of Money

The common misconception is that broad targeting options in marketing are synonymous with throwing money into the void. The thinking goes: the wider the net, the more irrelevant impressions, the higher the wasted ad spend. It’s easy to see why this idea persists, especially when you’re used to meticulously crafting hyper-specific audience segments.

However, this isn’t always the case. I had a client last year, a local Atlanta bakery specializing in custom cakes, who was convinced that their targeting needed to be limited to engaged couples within a 5-mile radius of their shop near the intersection of Peachtree and Piedmont. We initially ran campaigns like that. The results were okay. But then, on a whim, we launched a separate campaign with a much broader audience: anyone in the Atlanta metro area interested in food, baking, or celebrations.

The broad campaign, surprisingly, performed better. Why? Because platforms like Meta Ads have sophisticated AI algorithms that can identify and target the right people even within a large audience. The algorithm learned that people planning corporate events, birthday parties, and even just those with a sweet tooth were also likely customers. According to Meta’s documentation on Advantage+ campaign budget, the algorithm optimizes for conversions across a wider audience. This doesn’t mean you should only use broad targeting, but dismissing it outright is a mistake. It’s about testing, learning, and letting the platform’s AI do some of the heavy lifting.

Identify Core Assumptions
List targeting assumptions, e.g., “all Gen Z uses TikTok.”
Analyze Data Validity
Research data supporting assumptions. Example: TikTok user demographics and purchase habits.
Refine Targeting Options
Adjust parameters based on data. Target TikTok users who also shop online.
A/B Test New Targets
Run tests comparing refined targets vs. original to measure ROI lift.
Iterate & Optimize
Continuously refine targeting based on A/B test results for maximum ROI.

Myth: Retargeting Is Creepy and Ineffective

Many marketers believe that retargeting is an inherently annoying and ineffective tactic. They think it comes across as intrusive, reminding potential customers of abandoned carts and products they clearly didn’t want. This perception is fueled by the fear of being “that brand” that relentlessly follows users around the internet.

But retargeting, when done right, is incredibly powerful. A Dynamic Yield report found that personalized retargeting, showing users products they viewed but didn’t purchase, can recover up to 26% of lost sales. The key is personalization and relevance. Generic “come back and buy!” ads are annoying. Ads that show the specific product someone was looking at, perhaps with a limited-time discount or free shipping offer, are much more effective.

We’ve seen great success with retargeting campaigns for clients in the Buckhead business district. For example, a local men’s clothing store, located off Lenox Road, saw a 15% increase in online sales after implementing a retargeting strategy that showcased the exact items customers had viewed on their website. The ads also highlighted customer reviews of those specific products. Retargeting isn’t creepy if it’s helpful and relevant. And frankly, if your product solves a genuine problem, shouldn’t you remind people about it? You can also boost conversions by using video ads that convert.

Myth: Demographic Targeting Is All You Need

A lot of marketers rely heavily on demographic targeting options, assuming that age, gender, location, and income are sufficient to reach the right audience. They build audience segments based solely on these factors, believing it’s a straightforward and efficient way to target their ideal customer.

While demographic data is a useful starting point, it’s rarely enough on its own. People within the same demographic group can have vastly different interests, behaviors, and needs. Layering demographic data with interest and behavioral targeting on platforms like Google Ads can improve conversion rates by 15-20%. For more on this, read about how to reach your ideal customer.

Think about it: targeting “women aged 25-34 in Atlanta” is incredibly broad. Some might be stay-at-home moms, others might be career-driven professionals. Some might be interested in fitness, others in fashion. Without layering in interest and behavioral data, you’re essentially showing the same ad to two completely different people.

We learned this lesson the hard way with a campaign for a new luxury apartment complex near Piedmont Park. Initially, we only targeted people aged 25-45 with an income above $100,000 living in the 30305 zip code. The results were underwhelming. After adding interest-based targeting (e.g., people interested in luxury living, urban lifestyle, and fine dining) and behavioral targeting (e.g., people who recently visited competitor websites), we saw a significant increase in qualified leads. Demographic data is a foundation, but it needs to be built upon with more granular marketing insights.

Myth: You Should Always Exclude Converted Audiences

The common wisdom is that once someone converts, they’re no longer a target for your advertising. The thinking is: why waste money showing ads to people who have already purchased your product or service? Focus on acquiring new customers, not re-engaging existing ones.

This is a short-sighted approach. Excluding converted audiences can prevent upselling and loyalty-building campaigns. Instead, segment and target them with offers tailored to their purchase history. According to a IAB report on customer retention, acquiring a new customer can cost five times more than retaining an existing one.

I had a client, a subscription box service for dog owners, who initially excluded all existing subscribers from their ad campaigns. We convinced them to create a separate campaign targeting subscribers with offers for add-on items, premium upgrades, and early access to new products. The results were fantastic. Not only did it increase average order value, but it also improved customer retention rates.

Don’t make the mistake of ignoring your existing customers. They are your most valuable asset. Treat them like it. A well-executed post-conversion strategy can turn one-time buyers into loyal brand advocates. I’d argue that’s more valuable than a single new customer.

Myth: Setting and Forgetting Targeting Is Okay

One pervasive myth is that once you’ve set up your targeting options, you can simply “set it and forget it.” Marketers sometimes believe that the initial research and setup are enough, and that the campaign will continue to perform optimally without ongoing monitoring and adjustments.

This is a recipe for disaster. The digital marketing environment is constantly changing. Audience behaviors shift, new platforms emerge, and algorithm updates can significantly impact campaign performance. What worked last month might not work this month. If you want to avoid wasting ad dollars, learn to implement smarter bidding strategies.

Regular monitoring and optimization are essential. Track key metrics like click-through rates, conversion rates, and cost-per-acquisition. A/B test different targeting options to see what resonates best with your audience. Pay attention to platform updates and algorithm changes.

We ran into this exact issue at my previous firm. We were managing a campaign for a local law firm specializing in personal injury cases near the Fulton County Superior Court. The initial targeting options, focused on people searching for legal services in Atlanta, performed well for the first few months. But then, Google updated its algorithm, and the campaign’s performance plummeted. We realized that we needed to adjust our targeting to focus on more specific keywords and demographics. We also started using location extensions to target people near hospitals and accident hotspots. The results improved dramatically. Don’t let your campaigns stagnate. Stay vigilant, be adaptable, and continuously optimize your targeting options.

The world of digital marketing targeting options is complex and ever-changing, but mastering these strategies can make or break the success of your campaigns. By debunking these common myths and embracing a data-driven, iterative approach, you can reach the right audience, maximize your ROI, and achieve your marketing goals.

What’s the difference between interest-based and behavioral targeting?

Interest-based targeting focuses on users’ expressed interests (e.g., liking a page about hiking). Behavioral targeting focuses on their actions (e.g., visiting a website selling hiking boots).

How often should I review and adjust my targeting options?

At a minimum, review your targeting options weekly. For high-spend campaigns, daily monitoring is recommended.

What are some good tools for audience research?

Google Analytics, Meta Audience Insights, and Semrush are all useful tools for understanding your audience’s demographics, interests, and behaviors.

How can I use first-party data to improve my targeting?

Upload your customer lists to platforms like Google Ads and Meta Ads to create custom audiences and lookalike audiences based on your existing customers’ characteristics.

What is contextual targeting?

Contextual targeting involves showing ads on websites or within content that is relevant to your product or service. For example, showing ads for running shoes on a website about marathon training.

The most important thing to remember is that effective targeting isn’t a one-time task. It’s an ongoing process of testing, learning, and adapting. Don’t be afraid to experiment with different options, analyze the results, and make adjustments as needed. Your ideal audience is out there; you just need to find them. If you want to target locally in Atlanta, make sure you aren’t wasting ad spend in Atlanta.

Sunita Varma

Chief Marketing Officer Certified Digital Marketing Professional (CDMP)

Sunita Varma is a seasoned marketing strategist and the current Chief Marketing Officer at StellarNova Innovations. With over a decade of experience driving growth for both B2B and B2C companies, Sunita specializes in crafting data-driven marketing campaigns that resonate with target audiences. Prior to StellarNova, she held leadership roles at QuantumLeap Marketing Solutions, where she spearheaded the successful launch of five new product lines. Sunita is a recognized thought leader in the marketing space, frequently speaking at industry conferences and contributing to leading marketing publications. Her most notable achievement includes increasing brand awareness by 45% within one year for a major client at QuantumLeap.