Data shows that the audience for a client’s running shoe store is women ages 35 to 50. How can you optimize this client’s Display Network campaign based on your research
Correct Answer
Add demographic and age targeting to show ads to people in this audience
Why is this the correct answer?
To optimize this client’s Display Network campaign for their running shoe store, you should add demographic and age targeting to show ads to people in this audience consisting of women ages 35 to 50. Demographic targeting on the Display Network allows advertisers to reach specific groups of people based on gender and age range. Since the research explicitly identifies a high-performing segment, applying these filters ensures that the budget is concentrated on the users most likely to convert. This prevents ad spend from being wasted on demographics that do not align with the store's proven customer base. Mechanically, this works by excluding users who fall outside these parameters or prioritizing impressions for those within them. It transforms a broad campaign into a precision-focused strategy, directly leveraging the research to improve ROI. By narrowing the scope to the identified demographic, the relevancy of the ads increases, which often leads to higher click-through rates and better overall performance for the shoe store.
Why are the other options incorrect?
Use frequency capping to limit the number of times men ages 40 to 65 see your client’s ads
Frequency capping only limits how often a single user sees an ad, which does not address the need to exclude specific genders or age groups. It fails this scenario because it does not prioritize the women 35-50 identified in the research and continues to show ads to an irrelevant audience.
Increase cost-per-click (CPC) bids and experiment with variations of ad text that includes running tips
Increasing CPC bids and changing ad text may improve engagement generally, but it does not use the research data to narrow the audience effectively. Without demographic filters, the client would still pay more to reach people who are not in the target 35-50 female demographic.
Set up a remarketing list to show ads to women who have previously visited your client’s website
Remarketing focuses on people who have already visited the site, whereas the goal is to optimize the campaign based on the identified demographic profile. This approach misses potential new customers who fit the 'women 35 to 50' criteria but have not interacted with the brand yet.
Real-World Example
A boutique athletic footwear retailer discovered through Google Analytics that their primary buyers were women in their late 30s and 40s. To improve their Display Network performance, they chose to add demographic and age targeting to show ads to people in this audience specifically. By refining their campaign to focus exclusively on females aged 35-50, they eliminated 40% of wasted impressions on non-converting demographics. Within three months, the retailer saw a 22% increase in conversion rate and a 15% decrease in their cost-per-acquisition, proving that data-driven demographic optimization is essential for niche retail success.