Option A
Build internally
- Total estimated cost
- $2,300,000
- Estimated launch
- Month 12
- Live months within comparison
- 12
Interactive Calculator
Build vs. Buy Ad Server Calculator
What could it cost to build your own ad server?
Building an ad server involves more than the initial development project. Engineering, infrastructure, ongoing maintenance, and launch timing all shape the investment.
Compare building internally with building on AdButler’s ad infrastructure. Adjust the assumptions to see what each approach could mean for your costs and revenue opportunity.
No signup required. Editable assumptions. Instant results.
Compare your build and buy options
Start with your team size, engineering costs, and expected launch timeline. Open the additional assumptions to tailor the AdButler scenario and ongoing costs.
Your estimated comparison over 24 months
Option B
Build with AdButler
- Total estimated cost
- $628,750
- Estimated launch
- Month 3
- Live months within comparison
- 21
Based on your assumptions, building with AdButler could reduce estimated costs by $1,671,250 over 24 months.
What could an earlier launch mean?
An earlier launch can create more time to generate advertising revenue. This estimate uses the same monthly revenue for both options, so the difference reflects launch timing.
| Metric | Build internally | Build with AdButler |
|---|---|---|
| Potential ad revenue within comparison period | $1,200,000 | $2,100,000 |
Your estimated AdButler launch is 9 months earlier, creating the potential for $900,000 in additional ad revenue within the comparison period.
Potential revenue is gross advertising revenue, not profit. Actual revenue depends on demand, inventory, advertiser adoption, and sales readiness.
Illustrative estimates based on your inputs. Results are not a quote or a guarantee of costs, launch timing, or revenue. All amounts are in USD. View methodology.
See how the costs compare
Compare the initial engineering investment and the ongoing costs of each approach over your selected period.
Estimated costs over 24 months
- Initial engineering or integration
- Ongoing engineering
- Infrastructure
- Platform fees
Exact values for every segment are in the table below.
The cost continues after launch
An internal ad server requires ongoing engineering and infrastructure investment. Building on AdButler shifts your team’s work toward integration, customization, and the experiences you want to create.
Review both the initial project and the resources needed after launch.
| Cost category | Build internally | Build with AdButler |
|---|---|---|
| Initial engineering or integration | $1,200,000 | $75,000 |
| Ongoing engineering after launch | $900,000 | $393,750 |
| Infrastructure over comparison period | $200,000 | $0 |
| Platform fees over comparison period | $0 | $160,000 |
| Total estimated cost | $2,300,000 | $628,750 |
Ongoing engineering costs apply only after launch. Platform and infrastructure budgets are spread across the full comparison period from project kickoff. Additional customer-managed infrastructure may be needed with AdButler; adjust the relevant input.
Cost is only part of the decision
The right approach also depends on your requirements, engineering capacity, and the responsibilities you want your team to own.
An internal build gives you control over the underlying system. Building on AdButler provides an established foundation for your advertising products and workflows.
| Consideration | Build internally | Build with AdButler |
|---|---|---|
| Time to launch | Determined by your development scope, staffing, and testing requirements. | Determined by integration scope, configuration, and launch readiness. |
| Engineering focus | Build and maintain the core serving system, integrations, and workflows. | Integrate the platform and develop your own experiences and workflows. |
| Scope and customization | Control the underlying code and architecture, with responsibility for delivering each capability. | Customize around available APIs and platform capabilities; validate specialized requirements. |
| Infrastructure and scaling | Provision, monitor, and scale the infrastructure your platform requires. | Use AdButler’s serving infrastructure while managing your own connected systems and integrations. |
| Maintenance and updates | Own core platform fixes, upgrades, and ongoing development. | AdButler maintains its platform; your team maintains your implementation and custom components. |
| Privacy and data governance | Design and maintain the controls required for your implementation. | Evaluate platform capabilities and configure your implementation to meet your obligations. |
| Tools and assurance requirements | Select and fund the tools and assurance processes your scope requires. | Confirm what the platform and contract cover and what remains your responsibility. |
| Long-term investment | Internal staffing and infrastructure remain ongoing commitments. | Platform fees, internal integration resources, and any additional infrastructure remain ongoing commitments. |
What would it take to launch your ad platform?
Discuss your requirements with AdButler and get a clearer view of implementation scope, launch timing, and platform costs.
How these estimates are calculated
Both scenarios use the same comparison period, starting at project kickoff, and the same annual cost per engineer.
Initial engineering costs apply before launch. Ongoing engineering costs apply after launch. Platform and infrastructure budgets are spread evenly across the full comparison period.
Potential revenue assumes the entered monthly revenue begins immediately after launch and remains constant. The model does not include a revenue ramp-up, growth, or differences in advertising performance between platforms.
For an existing advertising business, enter only revenue dependent on the new launch. Revenue that would continue through an existing platform should not be counted as delayed revenue.
The model does not separately estimate migration, recruiting, legal work, security reviews, sales operations, revenue shares, taxes, or financing costs. Include relevant engineering work in your staffing and timeline assumptions.
Compare equivalent functional requirements in both scenarios. Defaults are illustrative and editable. AdButler pricing and implementation timing depend on your requirements.