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CONFIDENCE LEVELS Β· COMING SOON

Not All Data Is Created Equal. Now You Can See That.

Most sustainability platforms treat every number as equally reliable. They are not. An emission factor specific to your city is far more accurate than a national average, and verified data is far more trustworthy than an estimate. Confidence Levels scores every data point in your platform so you know exactly how much to trust it before making reduction decisions.

ABOUT CONFIDENCE LEVELS

Stop Making Decisions on Data You Cannot Trust

Today, the majority of sustainability platforms work like a bookkeeper trying to calculate profit without knowing the actual costs. They produce a number, but they cannot tell you how reliable that number is. If your biggest emission source is based on a rough country level estimate, your entire reduction strategy could be pointing in the wrong direction. You might invest budget in reducing what looks like your largest source, only to discover that a more reliable data point tells a completely different story.

Confidence Levels solves this by scoring every data point on a transparent scale. The score considers granularity (is the emission factor city level, regional, or national?), verification status (has it been independently validated?), data source type (measured, calculated, or estimated?), and recency. The result is a clear confidence indicator attached to every metric in your dashboard, so you always know what you can rely on and where you need better data before acting.

World First FeatureTransparent ScoringComing Soon
50X Impact platform dashboard

Data reliability

Visible

every data point scored on a transparent confidence scale

CAPABILITIES

Six Ways Confidence Levels Changes Everything

Transparency about data quality that turns uncertainty into informed action.

Granularity Scoring

Every emission factor is scored based on geographic precision. A city specific factor scores highest, followed by state or province, then country, then global average. You see exactly how precise your data is.

Verification Status

Data points verified by independent scientists or auditors receive a higher confidence score than unverified inputs. The platform tracks who verified what and when.

Source Type Classification

Measured data scores higher than calculated data, which scores higher than estimates. You always know whether a number comes from a smart meter, a formula, or an assumption.

Priority Adjusted Reduction Planning

When planning reductions, the platform highlights opportunities with high confidence first. If your biggest emission source has a low confidence score, the platform suggests focusing on the next opportunity where you can trust the numbers.

Data Quality Improvement Roadmap

For every low confidence data point, the platform shows exactly what it would take to improve the score: switch to a local emission factor, install a submeter, or request supplier verification.

Confidence Trend Tracking

Monitor how your overall data quality improves over time. As you replace estimates with measurements and national averages with local factors, your confidence score rises.

WHY IT MATTERS

You Cannot Reduce What You Cannot Trust

Imagine your dashboard shows that energy is your largest emission source at 45% of total footprint. You allocate budget, negotiate a renewable energy contract, and report the projected savings to your board. But what if that 45% was based on a national average emission factor and an estimated consumption figure? When actual metered data arrives, energy drops to 30% and waste, which you deprioritised, turns out to be 35%. Your entire strategy was built on unreliable data. This is not a hypothetical. It happens to organisations every day because most platforms present all data with the same authority regardless of quality.

Confidence Levels prevents this. By making data reliability visible, it ensures that reduction strategies are built on solid ground. High confidence data points drive your priority list. Low confidence data points trigger a clear action plan to improve data quality before committing resources. The result is a sustainability programme where every decision is backed by data you can genuinely trust. We believe this is so fundamental that we built it into the platform from the ground up. 50X Impact is the first sustainability platform in the world to offer confidence scoring as a core feature.

Scoring Dimensions

4

granularity, verification, source type, and recency

Industry Status

First

sustainability platform with built in confidence scoring

Decision Impact

High

prioritise reductions where you trust the data most

TRUST & METHODOLOGY

Transparent, Auditable, Honest

Confidence scoring is not a black box. Every score is transparent, explainable, and auditable.

Transparent Methodology

Every confidence score shows exactly how it was calculated: which factors contributed, what data was used, and how the score would change with better inputs.

No False Precision

Rather than presenting uncertain data as fact, the platform is honest about what it knows and what it does not. That honesty is the foundation of credible reporting.

Auditor Friendly

Confidence scores give auditors immediate visibility into data quality, making verification faster and more targeted.

Continuous Improvement

As better data becomes available, confidence scores update automatically. Your reporting becomes more reliable over time without manual intervention.

COMING SOON

Be the First to Know When Confidence Levels Launches

Join the waitlist and get early access to the feature that changes how you trust your sustainability data.