Your ad may win the impression. But can it win the click? That’s the question that appears a real challenge for many advertisers.

In programmatic advertising, campaigns run across different traffic sources, and their performance can vary depending on the audience, inventory, creative, and targeting settings. Advertisers need tools that help them optimize campaign delivery and work toward their performance goals.

Click Booster in SmartyAds DSP brings machine learning (ML) into campaign optimization, helping advertisers focus on click-through performance. In this guide, we'll explain why click-through rate matters, how Click Booster fits into your campaign workflow, and how to get started.

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Why сlick-through rate matters in programmatic advertising

Every ad impression is an opportunity to engage a potential customer. But an impression alone does not tell advertisers whether someone found the ad relevant enough to click.

Click-through rate (CTR) measures the percentage of impressions that result in clicks:

CTR = (Clicks ÷ Impressions) × 100

For example, consider a campaign that generates 1 million impressions:

  • At a CTR of 0.27%, it generates 2,700 clicks.
  • At a CTR of 0.30%, it generates 3,000 clicks.

That's a difference of 300 clicks at the same impression volume. Industry benchmarks also show why campaign context matters. Focus Digital's report based on 2025 programmatic display campaign data reported average CTRs of 0.34% for Technology & Software and 0.28% for Finance & Insurance. These are industry-specific reference points, not universal targets for every campaign.

However, measuring CTR is only the first step. The real challenge is identifying which traffic sources are worth investing in and which may be underperforming or delivering suspicious results. As campaign traffic changes, manually evaluating every source to improve click-through rate can become increasingly difficult. This is where automated optimization can help.

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Meet Click Booster in SmartyAds DSP

Click Booster is an ML-powered feature in SmartyAds DSP designed to help optimize campaign click-through performance.

Machine learning enables systems to identify patterns in data and use them to support decisions. In programmatic advertising, this can help make campaign optimization more data-driven.

How does it work?

As soon as you have the feature activated it will continuously learn and analyze the clickability of the sources matching the results with selected targeting for the campaigns.

Based on the results of the analysis, the system develops the interpretation keys according to which the decision-making regarding impressions will be made. For instance, one of the developed ‘keys’ may indicate that based on previous experience the clickability of a particular source was low for the campaign with given targeting options. This way the source will be interpreted as low performing.

Another scenario is when the source has abnormally high CTR, in this case, the clicks will be considered suspicious, so the system will block ad serving on such resources. Instead, the system will single out those sources where CTR for the ad campaign will settle on the most optimal level - the one that drives the best campaign outcomes.

The mechanism will educate itself starting on the second day after campaign activation. From time to time the developed keys for the ad campaign will be updated according to the new incoming information. This way click booster will be constantly learning and adjusting to the new results so that media buying could stay flexible yet very efficient.

For advertisers, the practical takeaway is straightforward: Click Booster adds an optimization capability to your DSP workflow, with a focus on click-through performance.

Click Booster is already used in more than 50% of active campaigns on SmartyAds DSP. Powered by machine learning, the feature helps advertisers optimize campaign click-through performance.

– SmartyAds tech expert.

What can Click Booster do for your campaign?

Add an optimization to your campaign setup

When setting up a programmatic campaign, you choose your targeting, configure your campaign parameters, and define your objectives. Click Booster adds another optimization option to consider when click-through performance is important to your goals.

Support Click-Through optimization

Not every traffic source necessarily delivers the same level of engagement for every campaign. Click Booster is designed to support the optimization of click-through performance using machine learning.

Help you evaluate campaign performance

Optimization works best when you understand what happens after a campaign launches. Monitor CTR alongside clicks, conversions, and spend to assess performance in the context of your objectives.

For example, if your goal is lead generation, a higher CTR is useful only when considered alongside the number and quality of leads generated.

How to activate Click Booster in SmartyAds DSP

  1. Sign in to your SmartyAds DSP account.
  2. Go to the Platform UI and create a new ad campaign
  3. After you’ve selected the type of your ad campaign you will be able to fill in the basic campaign details (as featured on the screen below).
  4. The click booster appears in the bottom corner of the form. Pull the button to the right and it will activate the optimization for the ad campaign.
click booster settings

Compare performance across appropriate time periods and account for changes in targeting, creatives, budgets, and other campaign settings. This will help you interpret the results without attributing every change to a single feature. To understand Click Booster's specific contribution, compare campaign data under comparable conditions where possible.

Put Click Booster to work in your campaigns

Your programmatic campaigns need more than impressions alone. They need the right optimization approach for the results you're trying to achieve.

Click Booster brings machine learning into SmartyAds DSP's campaign optimization toolkit, with a focus on click-through performance. If CTR is an important metric for your campaign, explore the feature in your DSP settings and monitor its contribution to your results.

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