You’ve already mastered a content game, and you know that your website or app can earn you money. The only question left is how to make the most of your asset? According to Statista, programmatically sold advertising is expected to reach $779 billion by 2028, and getting a piece of this pie seems enticing.
My team and I have helped dozens of ad networks maximize their effectiveness. Today, I’ll describe the main steps so you can build your own ad network. Moreover, if you’re wondering how much it will cost you, you’ll have the answer by the end of the article.
How an Ad Network Earns Money?
An ad network is a business that buys ad inventory from publishers (owners of websites or apps) and sells it to advertisers (companies that want to place ads efficiently).
Ad networks can profit in several ways. First, they can buy ad inventory from publishers in bulk at a lower price and sell it to advertisers after segmenting and targeting. The margin between the buying and selling prices is the ad network’s profit.
The second option is earning a commission on ad performance. In this case, advertisers pay for results, such as views, clicks, or actions, and publishers receive a more predictable (although sometimes slightly lower) income. There’s also a third revenue model — via subscription, but it’s less common than the previous two.
Can You Benefit From Building an Ad Network?
So, the idea is clear: if you’re a publisher, working with ad networks helps you increase fill rates and secure advertisers. But what if you want more? In the modern digital advertising ecosystem, publishers can create ad networks instead of relying on existing ones, gain more control, and grow their income.
Do you want to find out if it’s the right move for you? Take the quick test! For every “yes,” add 1 point.
- Is traffic on your website or app high?
- Is your audience valuable to advertisers?
- Do you know your niche?
- Can you build relationships with advertisers?
- Do they approach you to buy ad inventory?
- Are current ad networks cutting off too big a share of your profit?
- Would you like to have more control over your revenue?
- Can you attract more publishers to your ad network?
- Do you have a team to build and maintain the ad network?
- Do you want to scale your business?
If you got seven or more “yes,” you might be ready. But even a smaller score doesn’t mean you can’t try. With the proper knowledge and expertise, you can build your own ad network.
Where Do You Begin?
It’s impossible to cover all the nuances of building an ad network in one article, but here’s the roadmap.
Step 1. Deciding on Your Value Proposition
Trying to create an ad network without a clear value proposition is like rearranging furniture in the dark. Let’s light up this darkness with a few questions:
- Who is your audience (regarding interests, behavior, demographics)?
- What makes your audience valuable to advertisers? Is it hard to reach? Is it niche? Is it highly engaged?
- What can you offer advertisers that other ad networks don’t (e.g., niche targeting, rare ad formats, increased brand safety)?
- What advertisers can be a perfect match to your ad inventory?
- What revenue model do you want to utilize and why? What’s in it for your potential partners?
The best is to sum up your answers in a short, clear message, like an elevator pitch.
Step 2. Starting to Build Your Ecosystem
Before investing in tech solutions, it makes sense to test the water. For instance, reach out to your current or potential advertisers, communicate your value proposition, and see if they are interested.
Also, you can contact other publishers and offer them a partnership. The third option is to get in touch with publishers first and then approach advertisers with a sample portfolio including your and their ad inventory. In this case, you’ll get more specific, down-to-earth replies.
Step 3. Choosing the Right Tech
Why does this step only come third? The reason is straightforward: understanding the demand makes it less risky to put your skin in the game. Sure, there are exceptions, for instance, you’re already using some tech solutions or have an existing infrastructure.
At this stage, the most essential tool is an ad server, the platform that manages and delivers ads. How to understand what is right for you? Today, various options are available:
- Open-source solution. You can download and customize it, which is great if you’re proficient in tech platforms development and maintenance. If your team doesn’t have enough technical knowledge, it’s better to choose the other option.
- White-label solution. It’s the platform developed by professionals that you can tailor to your needs. Usually, it’s easy to configure, and the support helps you with any issues, making this option optimal for beginners who can’t wait to get started.
- Custom (in-house) solution. Large publishers often choose to build their systems from scratch. Indeed, this option gives you complete control over data and features. However, it usually demands significant time, money, tech expertise, and effort. For beginners, it’s probably not a good idea.
Some ad servers offer various features, including dashboards for advertisers and publishers, reporting tools, campaign management, and billing capabilities. Still, some additional software solutions, such as consent management, fraud detection, or CRM tools, may come in handy.
Step 4. Launching and Testing
After setting up an ad server and onboarding first partners from both sides, it’s time to start running campaigns. If you can’t find other publishers to join your ad network, at the very beginning, you can use your ad inventory.
The first campaigns’ budgets may be small, but it’s better to keep them real. The goat at this point is to track performance (fill rates, conversions, click-through rates, etc.), test the technical side of the new business, and gather feedback from advertisers and publishers. If the campaign is real, you can understand whether both sides’ experiences were smooth and worth the money spent.
This stage is about creating an MVP and ensuring it’s viable before scaling up.
Step 5. Optimizing and Growing
While step 4 may have included manual adjustments, it’s time to automate and optimize the ad delivery process. It’s not about MVP anymore, since your ad network has already proven worthy. Here are some ideas of what to do next:
- Connect with more advertisers and publishers in your niche.
- Make onboarding new advertisers and publishers easy and transparent.
- Automate various functions, from reporting to setting up campaigns and payments.
- Optimize performance by using A/B testing.
- Work on improving the user experience.
- Provide data insights to advertisers and help publishers increase fill rates.
When growing your ad network, the possibilities are endless. There are plenty of directions you can choose: expand geographically, attract publishers offering new content types, become more technically advanced than your competitors, etc. The key here is understanding your goals and ambitions and not trying to pursue many objectives simultaneously.
What to Avoid?
Launching a new business sometimes feels like walking through a minefield. Here are some common mistakes publishers make:
- Starting to automate and optimize too early. It often requires investing additional time and money in new tech tools or expanding the team, but it doesn’t promise a fast return. There’s no need to rush: automate gradually and refine processes before scaling up.
- Competing directly with major market players. You can’t beat Google Display Network or other large ad networks by competing head-on. That’s why understanding your niche and clearly defining your value proposition is the key. Even small ad networks can be unique and offer features that large ones don’t have.
- Neglecting fraud prevention. No matter how advanced the platform is, it won’t survive if its reputation is damaged due to fraud incidents. So, implementing fraud detection tools and learning new risk mitigation strategies are very helpful.
- Ignoring user experience. If the ads the network serves are intrusive or of low quality, the performance won’t be outstanding. But if you set standards for ad creatives and experiment with user-friendly ad formats, you can become successful.
- Forgetting about mobile optimization. It’s just not wise in the age of mobile-first content consumption. Therefore, testing ads on multiple devices before running them is a must.
Building your ad network is a way to regain control, make your own rules in the market, and keep the bigger slice of the profit pie to yourself. And the best thing is, you can do it!
Bonus: How Much Is It Going to Cost Me?
I’ve already described three main options for an ad server; now let’s break down the expenses each entails. Please note: all the estimates are rough. I calculated them based on public data: websites of software providers for estimating tools’ costs, and Glassdoor, Ziprecruiter, and Upwork for estimating salaries.
Open-Source Solution: Tools and Costs
Customizing an open-source ad server can take a skilled team three months. If your team lacks tech expertise, it may take longer and cost more. Here are the tools needed for creating an MVP:
| Tools | Associated costs |
| Ad Server Software: e.g., Revive Adserver. | None |
| Database: e.g., MySQL for ad data, impressions, clicks | $30/month × 3 = $90 |
| Web Server: e.g., Nginx for hosting the ad server and the dashboard. | $100/year ≈ $25 for 3 months |
| Programming Languages: PHP (Revive customization), JavaScript/React (dashboard). | None |
| Analytics Tools: Custom PHP/JavaScript scripts for reporting. | None |
| Cloud Hosting: e.g., AWS EC2 or DigitalOcean. | $50/month × 3 = $150 |
| Development Tools: Git, Docker, VS Code. | None |
| Subtotal: $265 | |
If you want to get a complete picture, here’s the approximate estimate of labor costs:
| Specialist | Role | Associated costs (based on freelance U.S. mid-low tier) |
| Backend Developer (1): full-time for 3 months. | Customizes Revive for ad serving, targeting, and APIs. | $6,400/month × 3 = $19,200 |
| Frontend Developer (1): full-time for 2 months, part-time for 1 month. | Builds an enhanced dashboard for publishers and advertisers. | $6,000/month × 3 = $18,000 |
| DevOps Engineer (0.5): part-time for 3 months. | Works with hosting, server configuration, and scalability. | $3,600/month × 3 = $10,800 |
| Ad Tech Specialist (0.5): part-time for 3 months | Handles setup, targeting, and compliance. | $4,000/month × 3 = $12,000 |
| Project manager (0.5): part-time for 3 months. | Coordinates the team. | $3,000/month × 3 = $9,000 |
| Subtotal: $69,000 | ||
Other expenses may also include:
- Legal/Compliance (GDPR): $1,500, which covers consent management platform (CSP) integration ($500) and basic legal work, such as policy development and the Simple Data Protection Act ($1,000).
- Contingency budget (10%): $7,100.
In total, customizing an open-source ad server may cost approximately $77,865. But again, this number isn’t precise. This option works the best for publishers with established technical teams. Otherwise, the costs may drastically increase.
White-Label Solution: Tools And Costs
Selecting and testing the platform can take 2-4 weeks. Then, you’ll need another month to set up a domain, configure the platform, onboard first publishers and advertisers, and finalize compliance.
| Tools | Associated Costs |
| Ad Server Software: e.g., Epom standard plan. | $1,000/month × 1 = $1,000 |
| Web Server: already covered in most hosted platforms. | None |
| Analytics Tools: generally in-built, but can be enhanced with custom ones. | None |
| Domain: custom domain (e.g., ads.publisher.com). | $100/year ≈ $10 for 1 month |
| Subtotal: $1,010 | |
Labor costs in this scenario are much lower because the white-label solution doesn’t require in-house tech expertise:
| Specialist | Role | Associated costs (based on freelance U.S. mid-low tier) |
| Ad Tech Specialist (0.5): part-time. | Configures the platform, onboards users, and ensures compliance. | $4,000/month |
| Project manager (0.5): part-time, if needed. | Coordinates with the platform provider. | $3,000/month |
| Subtotal: $7,000 | ||
Other expenses may also include:
- Legal/Compliance (GDPR): $1,200 (hosted platforms usually provide basic compliance tools and consent management).
- Contingency (10%): $900.
To sum up, the approximate cost of setting up a white-label ad server is $10,110. Since no tech expertise is needed, this option is well-suited even for beginners.
Custom (In-House) Solution: Tools and Costs
This option is the most time- and money-consuming of the three: even for a skilled team, it usually takes four months or more to build an MVP.
| Tools | Associated Costs |
| Ad Server Framework: Node.js, Python (analytics). | None |
| Database: e.g., MongoDB or PostgreSQL. | $50/month × 4 = $200 |
| Web Server: e.g., Nginx for hosting the ad server and the dashboard. | $100/year ≈ $35 for 4 months |
| Frontend Framework: React for the dashboard. | None |
| APIs: Custom APIs for ad serving, targeting, and reporting. | None |
| Cloud Hosting: e.g., AWS EC2 or DigitalOcean. | $200/month × 4 = $800 |
| Development Tools: Jenkins, Docker | $50/month × 4 = $200 |
| Subtotal: $1,235 | |
Labor costs are massive here since the scope and complexity of work skyrocket when creating an in-house ad server.
| Specialist | Role | Associated costs (based on freelance U.S. mid-low tier) |
| Backend Developers (2): full-time for 4 months. | Builds the ad server, develops features and APIs (Node.js, Python). | $6,400/month × 2 × 4 = $51,200 |
| Frontend Developer (1): full-time for 4 months | Builds a dashboard for publishers and advertisers. | $6,000/month × 4 = $24,000 |
| DevOps Engineer (1): full-time for 4 months. | Works with hosting, server configuration, and scalability. | $7,200/month × 4 = $28,800 |
| Ad Tech Specialist (0.5): part-time for 4 months | Handles setup, targeting, and compliance. | $4,000/month × 4 = $16,000 |
| Project manager (1): full-time for 4 months. | Coordinates the team. | $6,000/month × 4 = $24,000 |
| Subtotal: $144,000 | ||
Other expenses may also include:
- Legal/Compliance (GDPR, CCPA): $3,000.
- Bare minimum Third-Party APIs (e.g., fraud detection): $1,000.
- Contingency (10%): $14,900.
The total cost may be approximately $164,135, which makes it clear: this option is best for large publishers seeking control and complete data autonomy.
For quick comparison, take a look at this table:
| Approach | Total Cost | Timeline | Pros | Cons |
| Open-source | ~$77,865 | 3 months | Cost-effective, customizable, no fees | Technical expertise, maintenance burden |
| White-label | ~$10,110 | 1 month | Fastest, low cost, minimal expertise | Limited customization, ongoing fees |
| In-house | ~$164,135 | 4 months | Complete control, scalable, no subscriptions | High cost, time-intensive, and expertise needed |
Key Takeaways:
- If you’re a publisher, you can create your ad network. That way, you’ll control monetization and grow your income.
- Building your ad network begins with understanding your audience and what makes your ad inventory valuable.
- Then, you need to test the idea and start building your ecosystem. Understanding the demand, you can choose the ad server that fits your goals, whether a white-label, open-source, or custom solution.
- Start small, don’t rush into automation, and focus on building trust through quality and transparency. A niche, well-run network can be very effective.
Building an ad network is a strategic move that requires understanding your goals, aspirations, and limitations. However, once you’ve decided, there’s no reason to stop. Monetizing your websites and apps is a feasible task. Make your first step today!
