Partnership & Methodology Standards

Our Position in the Ecosystem

FutureStack is a revenue intelligence platform, not a hosting review site. Our purpose is to quantify the financial relationship between hosting infrastructure decisions and measurable business outcomes — conversion rates, acquisition efficiency, and long-term cost structure.

We maintain performance-based partnership agreements with hosting providers. When you use links from our platform to sign up with a provider, we may earn a commission. This is standard practice for infrastructure advisory platforms and is disclosed transparently.

How Recommendations Are Generated

FutureStack's Infrastructure Audit Engine uses a tier-based alignment model. When you complete an audit, the system:

• Measures your current infrastructure performance (TTFB, response stability)
• Models revenue sensitivity based on your traffic volume and business model
• Calculates your Infrastructure Risk Score across three domains: performance, cost structure, and scalability
• Classifies performance into one of five tiers: Excellent, Good, Fair, Poor, or Critical
• Identifies providers whose measured performance matches your tier requirements

The recommendation logic is tier-driven, not brand-driven. If your metrics align with the Excellent tier's performance requirements, the system recommends providers that meet them — regardless of partnership status. InterServer appears frequently in recommendations because it consistently tests as the fastest shared hosting option in our independent benchmarks (162ms verified average across three runs, sub-200ms across repeated testing), not because of any preferential treatment.

Performance Testing Methodology

Our benchmark data is collected through independent origin-level testing across all measured providers. The exact method:

Benchmark methodology and comparative data are available on request. Results reflect testing conducted at a point in time and are updated periodically.

Revenue Modeling Standards

FutureStack's revenue impact estimates are derived from published academic and industry research on the relationship between page load time and conversion rates:

• Google (2017): "The probability of bounce increases 32% as page load time goes from 1s to 3s"
• Deloitte Digital (2020): "0.1s improvement in site speed increased retail conversion rates by 8.4%" (we do not apply this magnitude — see below)
• Portent (2019): Analysis of 100,000 landing pages showing conversion rate decay as load time increases
• Google/SOASTA & Akamai (2017): Published conversion sensitivity ranges of 3–20% per second of load delay across verticals

Our modeling applies a single disclosed coefficient: a 0.04 (4%) relative conversion drop per second of TTFB above the 200ms baseline — equal to 0.4% per 100ms, capped at 40% total. This sits at the conservative floor of the published range (Portent and Deloitte report 3–10% per second depending on vertical), and is the exact value used in our production code (financial-engine.js), documented on our methodology page. Deloitte's 8.4%-per-100ms figure applies to specific retail environments and is not used in our estimates.

All projections are labeled as directional financial modeling and explicitly noted as subject to variation based on business model, audience, implementation quality, and market conditions. We do not guarantee revenue outcomes.

Current Partnership Relationships

As of August 2026, FutureStack maintains active affiliate partnerships with:

• InterServer — Performance-based affiliate program
• Cloudways — Active affiliate partner. Use exclusive code FUTURESTK at checkout for 30% off your first 3 months. Commission credited automatically when code is used.

Commission rates vary by provider but do not influence ranking position. Providers without partnership agreements (Bluehost, HostGator, GoDaddy, SiteGround) remain in our benchmark testing and appear in comparative data because accurate market representation requires including the full competitive landscape.

Verify Us Yourself — 5 Minutes

You shouldn't need to take our word for any of this. Every claim below can be re-checked by anyone with a browser:

• Re-run the speed numbers. Open isyourtoolslow.html, test your site plus any host on the list. The audit tool (revenue-leak-detector.html) shows its three raw measurement runs — hit "re-measure" and watch it re-run live.
• Verify the benchmark dataset. Our provider numbers, baseline model, and generation timestamp are public: /data/ttfb-benchmarks.json. Re-fetch it on a future date and compare — the "generatedAt" stamp proves when it was produced.
• Watch the network tab. Load any page, open DevTools → Network. You will see requests to our host (Netlify), our functions, and Google Analytics — and nothing else. No advertising, no trackers beyond the one disclosed in Privacy.
• Read the code. The entire site is public on GitHub, including the measurement function. Every deploy is tied to a commit.
• Test our math. Take any figure on this site — revenue impact, SLO tables, benchmark medians — and recompute it against the documented methodology.

If any of the above ever fails, it's a bug we'd want to know about — contact: transparency@futurestk.online.

Questions or Concerns

If you believe our methodology is flawed, our testing is biased, or our recommendations do not align with measured performance data, we want to know. FutureStack's authority depends on maintaining analytical integrity.

Contact: transparency@futurestk.online
Raw Data Requests: Available for institutional buyers and journalists upon request