Conversion is one of the key metrics of success in the digital advertising domain. No efforts matter if they fail to bring proper conversion. That's where a proper conversion rate optimization (CRO) comes in handy. A well-thought-out conversion rate optimization strategy combined with strong programmatic advertising tooling can make the difference for both publishers and advertisers.
In this article, we provide a comprehensive CRO guide with insights on the essentials, best practices, and successful conversion rate optimization examples.
Understanding conversion rates and CRO fundamentals
First, let's clarify what is conversion rate optimization. Basically, it is a methodology that measures the impact of advertising campaigns. Its main goal is to estimate the percentage of users who take an action intended by this campaign. Such actions may differ drastically, from buying a product or subscribing to a service to merely filling out a form.
Conversion rate optimization fundamentals are based on the following formula:
Conversion Rate = (Number of Conversions / Total Visitors) × 100%
The CRO process primarily relies on:
Research on the motivations and barriers of the audience
Strong focus on analytics and a data-driven approach
Experimentation
Continuous optimization
Cross-channel alignment.
In simple words, conversion rate optimization techniques aim at finding the most efficient advertising path that brings the highest conversion.
The CRO process: From research to learning
Let's take a closer look at a successful CRO process. It can be roughly divided into 5 consecutive steps.
1. Research
During this stage, you should take on the following processes:
Quantitative analytics
Heatmaps and session recordings
Funnel breakdowns
User surveys/interviews
Competitor benchmarking
Upon running all these workflows, you can identify the reasons that hinder your conversion.
2. Hypothesis building
Based on the above-mentioned insights, build a hypothesis. Your goal is to assume the key factors affecting the conversion.
3. Experimentation
Do not hesitate to experiment in order to solve the problem. Efficient experimentation techniques include:
A/B testing
Multivariate testing
Dynamic page variations
Personalization
Experiments should run long enough to achieve statistical significance.
4. Implementation
Based on the outcomes of your experiments, implement your optimal approach.
5. Learning & Iteration
Upon completing the entire CRO cycle, make sure to document:
What worked
What failed
Insights about behavior
Impact on revenue
The key point here is to keep implementing conversion rate optimization best practices in the long run.
Core techniques and best practices
Let's explore common practices for website conversion rate optimisation that deserve your attention:
Landing page optimization that can impact users' perception of your brand
A/B testing is the backbone of experimentation
Personalization aimed at improving campaign segmentation
Reduction of friction
Research on behavioral triggers
Developing a CRO strategy
While learning conversion rate optimization, it is important to focus on building a long-term strategic vision. Here is a conversion rate optimization guide that will help you come up with an effective vision.
Define your goals and intent
Prioritize high-impact areas (e.g., landing pages)
Set shared KPIs for marketing and product teams
Choose tools and assemble a team
Ensure that landing pages match ad intent
Build a roadmap for testing your approach
A great CRO strategy is systematic, measurable, and aligned with long-term growth.
CRO for programmatic advertising platforms
Programmatic advertising enhances CRO by providing valuable behavioral, psychographic, and contextual data. The value of such information for improving campaigns is paramount. Many teams combine the best CRO practices with adtech platforms like DSPs and SSPs.
These are some examples that illustrate the impact of programmatic advertising on CRO:
Higher post-click conversions → stronger ROAS
Programmatic algorithms receive better signals (conversions feed back to DSPs)
Improved relevance scores → cheaper bidding
Better targeting using CRO insights (personas, top-performing segments)
Smart floor in bid optimization for more efficient resource utilization
Some optimization areas are specific to programmatic advertising. These are the examples:
Message-to-landing-page alignment (the #1 factor in conversion drop-off)
Dynamic Creative Optimization (DCO) combined with page variants
Landing page personalization based on audience segment data
Testing different offers by targeting a cluster
Heatmaps tied to campaign UTM parameters
CRO and programmatic advertising are the right combination because adtech solutions provide greater levels of control over campaigns. As a result, there are just more insights and more space for experimentation. No need for a complete conversion rate optimization tutorial, just experiment with programmatic advertising technologies and find your optimal approach.
Vlad Isaiko, CTO at TeqBlaze
Examples and use cases
Let's explore some conversion rate optimization examples associated with the use of programmatic technologies.
An excellent example of a programmatic advertising tool that facilitates CRO is the Query Volume Optimizer released by TeqBlaze. We use this solution to boost traffic distribution, which ultimately allows prioritizing high-value connections. As a result, publishers can seamlessly adapt to real-time traffic fluctuations, optimizing server loads and the performance of their adtech systems. This smart traffic shaping can ultimately lead to improved conversion rates.
Another notable example of successful CRO that involves programmatic advertising is the case of The Economist. This media giant wanted to boost paid subscriptions by improving the conversion performance of its programmatic display campaigns. The company used data-driven micro-segmentation. As a result, they created over 60 audience clusters, each with its tailored ad creatives.
People who click on the ads are taken to landing pages tailored to what they’ve shown interest in. As a result, The Economist gives them a more relevant experience from the start. Behind the scenes, the budget is continuously adjusted by bidding systems that focus spending on users who are more likely to convert and at times when conversions typically spike. This approach enabled The Economist to lift conversions by roughly half, slash acquisition costs to a fraction of what they were, and attract a large new pool of valuable readers.
Summary
Conversion Rate Optimization is one of the most efficient ways to increase revenue without increasing ad spend. By combining CRO with programmatic advertising, brands achieve:
Higher conversion rates
Lower acquisition costs
Stronger ROAS
Improved user experiences
Better attribution and algorithmic learning
CRO is no longer optional—it’s a growth necessity for digital businesses. TeqBlaze is ready to help you achieve excellence in conversion rate optimization. We have exceptional experience in delivering and managing adtech systems.
FAQ
How will improving our conversion rate impact revenue and reduce customer acquisition costs?
Conversion improvements can have a profound impact on your revenue. In fact, they help you enhance the efficiency of your efforts, attracting more audience at a lower cost.
Which key metrics—beyond conversion rate—should management monitor?
Executives should track:
Cost per acquisition
Return on ad spend
Funnel drop-off points
Session engagement metrics
Customer acquisition cost
Time-to-purchase
A/B test win rate
Quality of leads or customers
What resources and budget should we allocate to CRO initiatives (including programmatic)?
A typical CRO program includes:
Specialist or CRO team
Tools for testing and analytics
UX/UI design support
Development resources
Programmatic traffic budget
Most mid-sized companies invest 5–15% of their marketing budget into CRO.
What challenges arise when applying CRO to programmatic ad platforms?
Common challenges:
Highly segmented audiences → inconsistent behavior
Multiple creatives → message misalignment
Algorithmic changes affecting data consistency
Difficulty connecting UTMs to behavior insights
How do we integrate CRO with advanced programmatic strategies (targeting, automated bidding, DCO)?
Integration includes:
Syncing landing-page variants with programmatic segments
Feeding conversion signals back to the DSP for smarter bidding
Using DCO for creative testing and CRO for post-click testing
Personalizing landing pages based on targeting parameters
Continuously testing offers, messaging, and UX across audience clusters
When aligned correctly, CRO and programmatic create a self-optimizing performance engine.

Anna Vintsevska
Karolina Bendryk




