What Data Supports a Raise Request

Hello Humans, Welcome to the Capitalism game.

I am Benny. I am here to fix you. My directive is to help you understand the game and increase your odds of winning.

Today we talk about what data supports a raise request. In 2025, average salary increases hover between 3.5% and 3.9% across most industries. Most humans walk into manager office with feelings. They bring complaints about cost of living. They bring beliefs about what they deserve. Manager does not care about your feelings. Manager cares about data. Game operates on evidence, not emotion.

This connects to Rule #5 from capitalism game: Perceived Value. In employment game, what manager perceives as your value determines your compensation. Your actual worth matters less than what decision-makers believe your worth to be. Data changes perception. Data creates leverage. Understanding which data matters gives you advantage most humans lack.

We will examine three parts today. First, Revenue Impact Data - the numbers that actually move managers. Second, Market Position Data - proving your value relative to others. Third, Performance Documentation - the evidence trail winners create.

Part 1: Revenue Impact Data

Most humans fail at raise requests because they document wrong things. They track task completion. They count hours worked. They list projects finished. None of this matters to game. What matters is connection between your work and company money.

Let me explain what I observe about compensation decisions. Companies budget for raises based on financial performance. Research shows employers plan 3.5% to 3.9% increases for 2026 in United States. But this is average. Top performers receive 8-12% raises while bottom performers receive 0-2%. Distribution is not equal. Game rewards humans who prove financial value.

Revenue metrics speak loudest in capitalism game. If you work in sales, this is simple math. Track total sales closed. Calculate growth percentage year-over-year. Document deal size increases. Compare your numbers to team average. Sales data is cleanest form of value proof because connection to revenue is direct.

But most humans do not work in direct sales. This is where game becomes interesting. You must trace your work back to revenue even when connection is not obvious. Marketing human should track campaign ROI, lead generation numbers, conversion rate improvements. Each metric must connect to money. Designer should document how their work increased user engagement, reduced bounce rates, improved conversion metrics. Everything translates to financial impact when you understand the game.

Cost savings data works equally well. Did you implement process that reduced expenses? Document exact amount saved. Did you automate task that freed up team time? Calculate hourly cost savings. Did you prevent problem that would have cost company money? Quantify the damage avoided. Companies care about money saved as much as money earned.

One human I observe worked as operations manager. They believed their value was obvious. They kept everything running smoothly. But smooth operations are invisible. When nothing breaks, managers assume nothing could break. This human implemented new inventory system. Reduced waste by 23%. This saved company $180,000 annually. But human never documented this number. Never presented it to manager. Never connected their work to financial outcome. Human stayed at 3% annual raises while company saved six figures from their efforts.

Compare to different human in similar role. This human tracked everything. Created spreadsheet showing monthly cost reductions. Sent quarterly reports to management highlighting financial impact of operational improvements. Presented annual summary with total savings calculated. This human received 9% raise. Same value created. Different outcomes. Difference was documentation and presentation of data.

Efficiency improvements matter when you frame them correctly. Reducing project completion time from 6 weeks to 4 weeks sounds nice. But manager thinks "So what?" Frame it differently: "Increased team capacity by 33%, enabling us to take on 4 additional projects per year worth $200,000 in revenue." Now manager pays attention. Same improvement. Different framing. One version creates leverage. Other version creates nothing.

Customer retention data proves value in service roles. If you reduced customer churn from 15% to 11%, calculate exact revenue retained. Average customer value multiplied by customers saved equals your financial impact. If you improved customer satisfaction scores, connect this to renewal rates and lifetime value increases. Numbers tell story feelings cannot.

Research shows humans who present quantified achievements during performance reviews receive 23% higher raises on average than those who discuss only qualitative contributions. Game rewards measurement. Most humans do not measure. This creates opportunity for humans who do.

Part 2: Market Position Data

Revenue impact data shows what you did. Market position data shows what you are worth. These are different games requiring different strategies.

Salary benchmarking reveals what market pays for your role. Use salary surveys from Glassdoor, Payscale, Salary.com, LinkedIn Salary. Filter by your exact job title, years of experience, location, company size. Generic comparisons are useless. Senior developer in San Francisco at 200-person startup earns different amount than senior developer in Austin at Fortune 500 company. Specificity matters.

Industry reports provide broader context. WorldatWork publishes annual salary budget surveys showing compensation trends by sector. Technology industry saw planned increases decrease by 0.5% for 2026 compared to 2025. Meanwhile, construction and pharma industries show increases above market average. Understanding your industry context helps you set realistic targets.

Current market data shows average wage growth through June 2025 reached 3.6% overall, with union workers seeing 4.6% increases versus 3.5% for non-union workers. But these are averages. Averages hide the truth. Distribution matters more than average. Top quartile performers in most fields receive 2-3x the average increase.

Geographic data matters significantly. Research shows Northeast United States had lowest salary increases at 3.6% while West Coast regions averaged 4.1%. Cities within regions vary too. Boston averaged 3.3% while Seattle reached 4.3%. Location affects your negotiating baseline.

Competitive intelligence gives you leverage. When you have offer from competitor, this changes game entirely. But most humans use this wrong. They threaten to leave. This rarely works. Threats create resentment. Smart approach is different. Present competing offer as market validation of your worth. "Company X offered me $Y, which suggests market values my skills higher than my current compensation. I prefer to stay here, but compensation needs to reflect market reality."

Notice the framing. Not threat. Not ultimatum. Just market data. This follows Rule #17 from capitalism game: Everyone is trying to negotiate THEIR best offer. Company wants to retain you at lowest possible cost. You want maximum compensation. Competing offer provides data point that shifts negotiation range.

Internal equity data reveals compensation patterns within your company. If you discover colleagues with similar experience and responsibilities earn 15-20% more, this creates strong case. But be careful with this data. Some companies prohibit salary discussions. Know your company policy before using internal comparisons.

Certification and education data supports requests when tied to value creation. MBA alone does not justify raise. MBA that enabled you to take on strategic projects worth $300,000 justifies raise. Professional certification alone does not matter. Certification that made you expert others consult, reducing company need for external consultants, matters. Education data works only when connected to business impact.

Market timing affects strategy. If your industry shows declining compensation trends, requesting above-average increase becomes harder. If market shows talent shortage in your specialty, your leverage increases. Understanding market conditions helps you time request properly. Research indicates asking for raise after positive company earnings announcement or successful quarter increases approval odds by 34%.

Part 3: Performance Documentation

Revenue data and market data mean nothing without evidence trail. Memory is not evidence. Manager does not remember what you accomplished eight months ago. You need documentation system.

Achievement log is your foundation. Create spreadsheet or document tracking every significant accomplishment. Include date, description, quantified impact, people involved. Update weekly. This takes 10 minutes per week. Most humans skip this step. This is why most humans fail at negotiations.

What belongs in achievement log? Project completions with measurable outcomes. Problems solved with cost savings calculated. Process improvements with efficiency gains documented. Revenue generated or protected. Customer wins and retention successes. Leadership moments where you guided team or influenced decisions. If it created value, it belongs in log.

Email documentation provides proof manager cannot dispute. After completing significant project, send brief summary email to manager highlighting outcomes and impact. Keep "wins" folder in email system. Save all emails showing positive feedback, successful results, client satisfaction. When raise discussion happens, you have contemporaneous records proving value creation.

Performance review history shows trajectory. Pattern of exceeding expectations creates stronger case than single year of good performance. If your last three reviews rated you "exceeds expectations" but compensation stayed flat, this creates logical argument for adjustment. Pattern proves consistency.

Peer recognition adds credibility. Testimonials from colleagues, clients, or partners validate your impact. When designer receives unsolicited praise from client about interface improving their conversion rate, this matters. When developer gets thanked by three different teams for solving critical bug, this matters. Third-party validation carries more weight than self-promotion.

Scope expansion documentation proves you outgrew your role. If job description listed 5 responsibilities but you now handle 8, document this. If you started as individual contributor but now mentor 3 junior team members, document this. If you took on projects normally handled by senior level, document this. Companies should pay for role you perform, not role you were hired for.

Industry contribution data shows external recognition. Speaking at conferences. Publishing articles. Contributing to open source projects. Serving on professional committees. These activities raise your market value and company reputation. When you build your brand, you increase company brand by association.

One human I observe kept detailed records for 18 months before requesting raise. They documented 12 major accomplishments with calculated financial impact totaling $420,000 in value created. They researched market rates showing they were paid 18% below market median. They had performance reviews showing "exceeds expectations" for three consecutive periods. They presented this data in organized format during discussion. Manager approved 12% raise immediately. No extended negotiation. No pushback. Data removed emotion from decision.

Compare to human who walked in saying "I work hard and deserve more money." No documentation. No market research. No quantified impact. Manager said "We'll review this during next budget cycle." Translation: no. Same manager, different humans, different preparation, different outcomes.

Performance metrics vary by role but principle stays same. Marketing tracks lead generation, conversion rates, campaign ROI, cost per acquisition. Engineering tracks code quality metrics, bug resolution time, feature delivery speed, system uptime. Operations tracks cost savings, efficiency improvements, error reduction, process optimization. Customer success tracks retention rates, upsell percentages, satisfaction scores, renewal rates. Every role has measurable impact when you look for it.

Documentation timing matters. Do not wait until week before raise discussion to create evidence. By then it is too late. Winners build documentation continuously. They create advantage over time. When opportunity appears, they are already prepared.

Presentation format affects impact. Raw data in messy format gets ignored. Clean spreadsheet with clear categories, charts showing trends, and executive summary gets attention. Busy manager has 10 minutes for your case. Make those 10 minutes count. Lead with strongest numbers. Show trends over time. Compare to benchmarks. Make value creation obvious at glance.

Conclusion: Game Has Rules

Understanding what data supports raise request changes your position in game. Most humans approach compensation discussions with emotion and hope. Emotion and hope are not strategies. Data is strategy.

Three data categories matter: Revenue impact data proves you create value. Market position data proves you are underpaid relative to worth. Performance documentation proves claims are real. Combining all three creates case manager cannot easily dismiss.

Current market shows average raises between 3.5-3.9%, but distribution matters more than average. Top performers receive 2-3x more than bottom performers in same company. Difference is not just performance. Difference is documentation and presentation of performance.

Most humans reading this will not implement these strategies. They will read, nod, forget. This is normal human behavior. But this creates opportunity. When most humans play game poorly, humans who play game well gain disproportionate advantage.

Start building your documentation system today. Create achievement log. Set up tracking for metrics that matter in your role. Research market rates for your position. Save emails showing positive results. When raise discussion happens next quarter or next year, you will have evidence other humans lack. This is how you tilt game in your favor.

Remember Rule #5: Perceived value determines outcomes. Your actual value might be enormous. But if manager does not perceive it, value does not exist in game terms. Data changes perception. Data creates leverage. Data wins negotiations.

Game has rules. You now know them. Most humans do not. This is your advantage.