Best Practices for Effective Display Advertising

What is "Best Display Ads"?

"Best Display Ads" refers to a strategic approach for creating, targeting, and optimizing visual advertising campaigns to achieve specific business goals efficiently. It involves selecting the right platforms, ad formats, and creative strategies to reach your target audience effectively.

Many businesses struggle with display advertising because they waste budget on poorly targeted ads with low engagement, failing to see a positive return on investment.

Programmatic Buying — The automated, real-time purchasing of ad inventory using software, which increases efficiency and targeting precision.
Audience Targeting — The practice of serving ads to users based on specific demographics, interests, behaviors, or previous interactions with your brand.
Ad Creative & Format — The visual and interactive design of the ad, such as banners, video, native, or interactive units, which must capture attention and convey a message quickly.
Retargeting/Remarketing — Targeting ads to users who have previously visited your website or used your app, a highly effective method for re-engaging potential customers.
Viewability & Fraud Prevention — Ensuring ads are actually seen by humans in a brand-safe environment, not by bots or in non-visible parts of a webpage.
Key Performance Indicators (KPIs) — The metrics used to measure success, such as Click-Through Rate (CTR), Conversion Rate, Cost Per Acquisition (CPA), and Return on Ad Spend (ROAS).
Ad Placement — The specific websites, apps, or positions within a page where your ads appear, which directly impacts performance and brand perception.
A/B Testing — The method of comparing two versions of an ad element (like a headline or image) to see which performs better and informs ongoing optimization.

This topic is crucial for marketing managers and founders who need to build brand awareness, generate leads, or drive sales online without squandering their budget. It provides a framework to move from guesswork to a data-driven advertising strategy.

In short: It is a systematic methodology for deploying visual online ads that deliver measurable business results.

Why it matters for businesses

Ignoring a strategic approach to display advertising leads to significant financial waste, missed opportunities, and potential damage to brand reputation, as campaigns fail to connect with the intended audience.

Wasted ad spend → By precisely defining targeting and using performance data, you ensure your budget is spent on reaching likely customers, not a broad, uninterested audience.
Low campaign return on investment (ROI) → A focus on the "best" practices ties spending directly to conversions and revenue goals, moving beyond vanity metrics to prove value.
Poor brand alignment and unsafe placements → Proactive management of placement and content ensures your ads appear in suitable, brand-safe environments that reflect your company's values.
Inefficient use of team time → A clear strategy and the right tools automate buying and optimization, freeing your team from manual, low-value tasks.
Missing out on high-intent audiences → Techniques like remarketing allow you to recapture the attention of users who have already shown interest, dramatically increasing conversion likelihood.
Lack of actionable insights → A structured approach mandates proper tracking and analysis, turning raw data into clear directives for improving future campaigns.
Non-compliance with regulations like GDPR → A principled strategy incorporates privacy-by-design, ensuring user consent is managed correctly and avoiding legal risks in the EU and other regions.
Inability to scale successful efforts → By identifying what truly works through testing, you can confidently allocate more budget to winning strategies and grow results predictably.

In short: A strategic approach transforms display ads from a cost center into a scalable, measurable channel for growth and brand building.

Step-by-step guide

Navigating display advertising can feel overwhelming due to the multitude of platforms, technical jargon, and seemingly endless options for creative and targeting.

Step 1: Define clear campaign objectives

The pain of starting without a goal is vague success metrics and misaligned tactics. Begin by locking down a single, primary objective.

Is the aim brand awareness, lead generation, direct sales, or retargeting? Each objective will dictate your KPIs, budget, and even the ad formats you choose. For example, a brand awareness campaign prioritizes impressions and reach, while a sales campaign focuses on conversion rate and ROAS.

Step 2: Identify and understand your target audience

Advertising to "everyone" is inefficient and expensive. Solve this by building detailed audience personas.

Go beyond basic demographics. Consider their online behaviors, interests, pain points, and the websites they visit. Use your own customer data, market research, and platform insights (like Google Analytics) to inform these profiles. This foundation is critical for all subsequent targeting decisions.

Step 3: Set a structured budget and KPIs

Avoid budget bleed by allocating funds strategically and knowing how you will measure success from the start.

Allocate budget across platforms, ad groups, and a testing reserve.
Define primary KPIs (e.g., Target CPA for leads, Target ROAS for sales).
Set secondary metrics to monitor (e.g., CTR, Viewability Rate).

Step 4: Select platforms and demand-side tools

The wrong platform choice means your audience isn't there. Match your audience profiles to the appropriate advertising ecosystems.

Common choices include the Google Display Network for vast reach, LinkedIn for professional B2B targeting, and specialized programmatic platforms. For larger budgets or complex needs, consider using a Demand-Side Platform (DSP) to manage buying across multiple exchanges from one interface.

Step 5: Develop and test ad creatives

Poor creative is the fastest way to get ignored. Combat this by designing multiple ad variations focused on clarity and value.

Create a mix of formats (banner, native, video) that fit your chosen platforms. Ensure messaging is consistent with your brand and includes a clear call-to-action. Quick test: Use A/B testing from day one, testing one element at a time (e.g., headline, image, CTA button color) to gather performance data.

Step 6: Configure precise targeting and exclusions

Broad targeting wastes money. Layer multiple targeting methods to narrow your audience to the most relevant users.

Combine demographic, interest-based, and contextual targeting. Crucially, implement audience exclusions to avoid showing ads to existing customers or irrelevant segments. For performance campaigns, always set up remarketing audiences to re-engage site visitors.

Step 7: Launch, monitor, and optimize continuously

Setting a campaign live and forgetting it leads to declining performance. The solution is an active optimization cycle.

Monitor your KPIs closely in the first 72 hours. Pause underperforming ads and place more budget behind winners. Regularly review placement reports to exclude low-performing or irrelevant websites. Optimization is not a one-time task but a core part of campaign management.

In short: A successful display ad campaign flows from a clear objective, through audience and platform selection, to relentless creative and targeting optimization based on data.

Common mistakes and red flags

These pitfalls are common because they often seem like shortcuts or are overlooked in the complexity of campaign setup.

Prioritizing clicks over conversions → This drains budget on irrelevant traffic. Fix it: Set up conversion tracking from the start and optimize campaigns towards your actual business goal, not intermediary clicks.
Using generic, stock-heavy ad creative → This fails to capture attention or communicate your unique value. Fix it: Invest in custom visuals that reflect your brand and speak directly to your audience's specific needs or desires.
Neglecting frequency capping → This bombards the same users with your ads, causing annoyance and "banner blindness." Fix it: Set limits on how many times a single user sees your ad per day or week to maintain a positive user experience.
Failing to exclude existing customers → This wastes money advertising to people who have already converted. Fix it: Upload customer email lists to advertising platforms as exclusion audiences, or use website rules to exclude users who visited a "thank you" page.
Ignoring ad placement reports → This leads to ads appearing on low-quality or irrelevant sites, hurting brand safety and performance. Fix it: Regularly review where your ads are shown and proactively create exclusion lists for poor-performing placements.
Not conducting A/B tests → This leaves you guessing what works, preventing scalable improvement. Fix it: Make testing a standard operating procedure, always running controlled experiments on creatives, audiences, and messaging.
Overlooking GDPR and privacy compliance → This risks significant legal fines and reputational damage in the EU. Fix it: Ensure your tracking tags and data collection methods are compliant, obtain proper user consent, and work with vendors who prioritize privacy.
Setting and forgetting campaigns → Market conditions and audience behavior change, causing performance to decay. Fix it: Schedule weekly check-ins for campaign analysis and optimization; treat campaign management as an active, ongoing process.

In short: Avoiding these common errors requires proactive management, a focus on meaningful metrics, and respect for the user experience and privacy regulations.

Tools and resources

The array of available tools can be paralyzing; selecting the right category for your specific need is more important than chasing the "best" individual tool.

Demand-Side Platforms (DSPs) — Use these for programmatic buying at scale across multiple ad exchanges, especially if you have a large budget and need advanced targeting and automation features.
Ad Platform Native Tools — Start with the built-in managers in Google Ads, Microsoft Advertising, or LinkedIn Campaign Manager for direct access to their inventory, often the simplest path for most campaigns.
Creative & Design Tools — Address the need for professional-looking ad variations without a full-time designer. These include template-based banner builders and video editing software suited for ad formats.
Analytics & Attribution Platforms — Solve the problem of unclear ROI by using tools that track the user journey across channels and attribute conversions accurately to the right touchpoints.
Brand Safety & Viewability Suites — Employ these to mitigate the risk of ad fraud and ensure your ads are seen by real people in appropriate contexts, a critical concern for brand integrity.
A/B Testing & Experimentation Platforms — Use these to systematically test ad variations and landing pages at a higher scale and with greater statistical rigor than native platform tools may allow.
Audience Data & Management Platforms — Leverage these to build, segment, and activate your own first-party data (like customer lists) for targeting, a key capability in a privacy-focused landscape.
Competitive Intelligence Tools — Apply these to understand the ad strategies, creatives, and spend of your competitors, providing valuable context for your own planning.

In short: The right tool stack addresses specific pain points in buying, creating, measuring, and protecting your display advertising efforts.

How Bilarna can help

Finding and vetting reliable providers for display advertising services and technology is a time-consuming and uncertain process for businesses.

Bilarna is an AI-powered B2B marketplace that connects companies with verified software and service providers in the digital marketing space. For teams looking to execute "best display ads" strategies, it simplifies the search for competent agencies, DSP partners, creative studios, and analytics consultants.

The platform's AI matching reduces research time by suggesting providers based on your specific project requirements, company size, and budget. All providers undergo a verification process, offering greater confidence than an open-ended web search. This allows founders, marketing managers, and procurement leads to efficiently compare relevant, vetted options in one place.

Frequently asked questions

Q: What is the most important metric for a successful display ad campaign?

There is no single universal metric. The most important KPI is the one tied directly to your primary campaign objective. For brand awareness, focus on Reach and Frequency. For lead generation, monitor Cost Per Lead (CPL). For direct sales, track Return on Ad Spend (ROAS). Always view metrics like Click-Through Rate (CTR) in the context of these higher-order goals.

Q: How much budget should we allocate to display advertising?

Budget should be determined by your objective, audience size, and industry competition, not a random guess. Start with a test budget that is:

Large enough to gather statistically significant data (often a minimum of a few thousand euros).
Calculated as a percentage of your overall marketing or customer acquisition budget.
Based on the average Cost Per Action (CPA) in your sector, which you can research through industry reports or platform benchmarks.

Q: Are display ads still effective with the rise of ad blockers?

Yes, when executed strategically. Ad blockers are a challenge, but their usage varies by audience demographic. Effectiveness is maintained by:

Focusing on high-quality, relevant placements where users are more engaged.
Utilizing native ad formats that blend into content.
Shifting investment towards channels like connected TV (CTV) and in-app advertising where blockers are less prevalent.

Q: How can we ensure our display ads are GDPR compliant?

Compliance is a shared responsibility between your business and your technology partners. Key steps include: obtaining clear, affirmative user consent for data collection and cookies; working with ad platforms and vendors that provide GDPR-compliant settings; and ensuring your privacy policy clearly explains data usage. Consult with a legal professional for definitive guidance on your specific situation.

Q: What is the difference between Google Display Network and a Programmatic DSP?

The Google Display Network (GDN) is a single, vast inventory source accessible via Google Ads. A Demand-Side Platform (DSP) is a software tool that allows you to buy ad inventory from multiple exchanges (including Google's) in one interface. Use GDN for simplicity and access to Google's properties. Consider a DSP for larger scale, more advanced targeting options, and access to non-Google inventory.

Q: How long does it take to see results from a display ad campaign?

Timelines vary by goal. Brand awareness metrics (impressions, reach) are visible immediately. Performance outcomes (leads, sales) typically require a learning period of 2-4 weeks as optimization algorithms gather data. Do not judge campaign success or failure within the first few days; allow sufficient time for the campaign to stabilize and for your optimization adjustments to take effect.