
Tech sales salaries in 2026: Account Executive, Sales Manager, and OTE benchmarks
The average Account Executive (Direct Sales) salary in UK tech is £59,500 in 2026, with a typical 67% variable on top. See sales pay by level, country, and stage.

Getting market pricing right comes down to two things:
Once you’ve defined your compensation philosophy and target market percentile though, the challenge is finding those reliable benchmarks.
And while a compensation data provider’s large dataset might look convincing, more data doesn’t necessarily mean better benchmarks.
Traditional salary surveys, for example, can leave you with outdated pay data that your team needs to manually map to your internal roles and levels before you can use it.
Similarly, job posting-based pay data might be more recent, but it reflects what employers advertise rather than what they actually pay employees, making it less reliable for market pricing.
That makes choosing the right compensation market pricing software all the more important.
In this guide, we compare 10 options, looking at where their pay data comes from, how reliable and usable their benchmarks are, and which tools best support your market pricing needs.
→ Tech and tech-enabled startups and SMBs: Ravio for European and global teams; Pave for US and Canadian companies.
→ Mid-sized companies: BetterComp for teams managing multiple salary survey datasets.
→ Large enterprises: Payscale Ascent and CompAnalyst for US-based organisations; Beqom and CompTool for complex, multi-country compensation workflows.
→ Equity compensation: Carta Total Comp for US-based, VC-backed private companies; Ravio for tech companies benchmarking equity alongside base salary and variable pay.
Compensation market pricing software is software that provides up-to-date pay benchmarks, consistently levelled across your job roles and levels, and scoped to your relevant peer group. In turn, helping you price jobs against what the market pays today rather than outdated pay data.
Compensation market pricing software helps People and Rewards teams price jobs against reliable, up-to-date market benchmarks and make consistent pay decisions aligned with their defined market positioning.
Key capabilities include:
Market pricing can only support fair, competitive pay decisions if the underlying benchmarks are up-to-date, comparable, and relevant to your peer group.
It’s why when you’re evaluating compensation market pricing software, look closely at the quality of its benchmarks: where the data comes from, how current and relevant it is to you, and how it’s processed into reliable benchmarks.
Ask the following questions when comparing compensation software:
Check whether the software sources pay data directly from HRIS integrations or relies on periodic salary surveys.
HRIS-sourced data can reflect what employers are paying today, with integrations continuously pulling real-time employee pay data directly from employers’ systems.
In comparison, traditional salary surveys collect data periodically, typically requiring participants to submit data manually, which increases the risk of reporting errors. By the time results are published, the data may also already be months old and miss recent market changes.
You’ll also want to understand how a provider validates, cleans, and processes raw pay data into accurate, comparable benchmarks you can confidently use without having to double-check their accuracy or freshness.
Dig deeper: How Ravio builds reliable benchmarks.
Look beyond the total number of companies in the dataset.
Check their industries, geographic distribution, and whether they resemble the employers you compete with for talent.
For example, Ravio’s dataset is made of tech companies in Europe, making it more relevant to tech employers.
The key is to understand whether the compensation software has enough relevant data for your peer group to support competitive market pricing.
Find out how the provider matches and levels jobs across companies.
Manual mapping, common with traditional market pay data providers, can add significant work for your team and introduce risk of errors.
On the other hand, automated mapping reduces that workload and the risk of manual errors, ultimately making sure you’re comparing pay benchmarks for equivalent roles and levels.
But automation alone doesn’t guarantee accurate job matching – it depends how that automated matching is done.
For instance, on their own, job titles aren’t enough to determine whether two roles are comparable.
Look for software that accounts for differences in job scope, responsibilities, and seniority when matching roles, so you don’t end up pricing jobs against misleading benchmarks.
Beyond reliable benchmarks and job matching, consider whether the platform supports salary band creation, pay equity analysis, and scenario planning.
These capabilities help you translate market data into pay ranges aligned with your defined market positioning, assess equity compensation, and model the budget impact of different pay decisions before implementing them.
The best compensation market pricing software depends on the markets you hire in, the type of pay data you need, and how you manage compensation decisions.
Below, we compare 10 options, from real-time benchmarking platforms to traditional salary survey providers.
For each, we cover who it’s best suited for, where its market data comes from, how reliable and usable the benchmarks are, and the features and limitations worth considering before shortlisting your options:
Ravio is a real-time compensation market pricing software offering strong European data coverage, global benchmarks across 50+ countries, and integrated benchmarking tools.
Who is Ravio best for? Tech and tech-enabled companies looking for up-to-date total compensation benchmarks across Europe and globally, including strong coverage of niche and specialised roles.
How Ravio helps with compensation market pricing:
Ravio integrates with HR, equity, and ATS systems from 1800+ contributing tech companies to give you up-to-date data on base salary, equity, benefits, and variable pay.
Its dataset covers 300+ roles across more than 50 countries, helping teams benchmark both common and specialised positions against relevant market data.
All collected data undergoes a quality assurance process involving an AI agent and a team of data scientists, who verify raw data for inconsistencies and outliers before turning it into usable benchmarks.
Inside the platform, you can then see a confidence score beside each benchmark showing sample size and other details so you can assess how reliable the data behind benchmarks is.
Other features that make it easy for you to benchmark roles include:
Salary survey providers broadly refer to established HR consultancies like Mercer, Radford, WTW, and Korn Ferry that publish periodic salary surveys.
These feature aggregate data from participating companies, typically multinationals with the resources to manually submit and map compensation data.
Who are salary survey providers best for? Mid-sized companies and global enterprises looking for market pay benchmarks in specific locations or industries.
How salary survey providers help with compensation market pricing:
Salary survey datasets give you pay benchmarks for specific roles, locations, and industries, with the scope of coverage depending on the surveys you purchase.
Depending on the survey provider you use, the dataset can cover base salary, bonuses, equity, and benefits.
Purchasing a single survey for a single location or industry can be relatively affordable for mid-sized teams. However, costs can rise significantly when you need multiple datasets across countries, industries, or specialist roles.
Given the nature of salary surveys, it also helps to keep in mind that the data refreshes periodically, not continuously, so it doesn’t always capture recent changes in market pay.
And because participants typically submit their pay data manually, there’s great risk of reporting errors affecting the resulting data.
To top that, traditional compensation data providers use standardised job catalogues and levelling frameworks that your team needs to manually match your internal roles and levels to for like-for-like pay comparisons.
Pave is a compensation benchmarking and management platform that combines market pay data with tools for job matching, salary band creation, and compensation planning.
Who is Pave best for? US and Canadian venture-backed startups and enterprises looking for North American pay benchmarks across industries such as tech, healthcare, financial services, life sciences, and manufacturing.
How Pave helps with compensation market pricing:
Pave provides total compensation benchmarks covering base salary, equity, and variable pay, sourced from integrations with over 9,000 companies, predominantly based in North America.
40% of employees represented in its dataset work at enterprises with 1,000+ employees.
Pay data flows continuously from connected HR systems, with refreshed compensation benchmarks updated each month.
Outside its core North American market though, equity, benefits, and variable pay benchmarks aren’t available, limiting global total compensation benchmarking.
Other market pricing features include:
Payscale Ascent is a compensation management platform from Payscale that brings together market pay data, salary survey management, and compensation planning tools.
Who is Payscale Ascent best for? US-based corporations and enterprises, particularly in traditional industries, that rely on multiple salary survey datasets and need tools to manage benchmarking and compensation workflows in one place.
How Payscale Ascent helps with compensation market pricing:
Payscale Ascent combines third-party salary survey data from providers such as Radford and Mercer with employer-submitted pay data, offering strong US market pricing data across base salary, variable pay, equity, and benefits.
Where salary data is limited, Payscale uses AI to estimate missing values. So some benchmarks can be modelled estimates rather than actual reported pay data.
Unlike continuously updated HRIS-sourced benchmarks, the data Payscale sources from traditional salary surveys refreshes periodically, so some benchmarks lag behind current market pay.
And since salary survey providers typically source data from multinationals, benchmarks may also not always reflect your company size, industry, or the talent market you hire in.
Other market pricing features include:
HR DataHub is a UK-focused compensation market pricing platform that uses advertised salary data from over 30 million live and historical job listings to provide market pay insights.
Who is HR Datahub best for? UK-based SMBs looking for directional salary insights from job advertisements, with more filtering capabilities than a free salary checker.
How HR Datahub helps with compensation market pricing:
HR Datahub provides salary benchmarks based on advertised pay in job listings rather than what employers actually pay employees.
This makes its data more useful for an overview of market estimates than precise salary benchmarking.
Its dataset primarily covers base salaries, with some insights into bonus prevalence from job postings, but there’s no equity or benefits data.
Since HR DataHub is primarily a job advert aggregator rather than a full compensation market pricing platform, it helps to keep in mind that there is:
Carta Total Comp is a salary and equity pricing platform with equity management and compensation planning tools for private companies.
Who is Carta Total Comp best for? US-based, VC-backed private companies, particularly those already using Carta, the cap table management platform.
How Carta Total Comp helps with compensation market pricing
Carta Total Comp sources salary and equity data from its proprietary dataset of private-market companies made of 50,000+ cap tables from about 30,000 VC-backed companies.
It also supplements this with data from over 100 HRIS integrations.
While HRIS integrations enable continuous data collection, compensation benchmarks are refreshed quarterly.
That said, Carta Total Comp offers strong coverage of the US private market. But its European and other international benchmarks are less comprehensive and the data is less relevant for teams comparing pay against publicly listed employers.
Its equity benchmarking data is also more mature than its salary data, reflecting Carta’s origins as a cap table management platform.
Other market pricing features include:
CompAnalyst by Salary.com is a compensation market pricing platform that combines traditional salary survey data with advertised salary ranges collected from job postings.
Who is Salary.com’s CompAnalyst best for: Large US-based organisations with complex compensation structures and the in-house resources to manage CompAnalyst's implementation and ongoing training.
How CompAnalyst helps with compensation market pricing:
CompAnalyst combines data from traditional salary surveys with SalaryIQ job market intelligence, which collects advertised salary ranges from job boards and employer career sites.
It also uses AI to estimate missing pay benchmarks where market data is limited – altogether giving you pay data across 225 industries.
While job posting data is collected more frequently, it reflects advertised rather than actual employee pay.
Meanwhile, traditional salary surveys rely on periodically submitted pay data, so insights may not reflect recent market changes.
AI-generated estimates also aren’t based on directly reported compensation.
Meaning, the freshness and reliability of CompAnalyst’s benchmarks depend on the underlying data source.
Other market pricing features include:
Beqom is an enterprise compensation pricing platform combining third-party salary survey data with configurable tools for managing compensation.
Who is Beqom best for? Global enterprises operating across multiple industries and countries that have the resources to manage multiple salary survey datasets and need highly configurable compensation workflows.
How Beqom helps with compensation market pricing
Beqom provides market pay benchmarks across 100+ countries through integrations with traditional salary survey providers rather than its own proprietary compensation dataset.
And since Beqom relies on third-party data, the quality, coverage, usability, and freshness of its benchmarks depend on the survey providers and datasets you select.
For compensation management, Beqom offers highly configurable tools for salary management, compensation reviews, and pay equity compliance.
BetterComp is a compensation market pricing platform that combines third-party salary survey data with tools for automating market pricing decisions based on your compensation philosophy.
Who is BetterComp best for? Mid-market teams that use multiple salary survey datasets and want to automate market pricing workflows.
How BetterComp helps with compensation market pricing:
BetterComp brings third-party salary survey data and your internal HRIS compensation data into one platform to help you benchmark pay without switching between datasets and systems.
It lets you define rules for how you want to price jobs against your hiring market, including your preferred data cuts. BetterComp then automatically applies these rules to ensure consistent market pricing across roles.
You can also set custom market percentiles and apply target percentiles in bulk across job families, pay markets, and levels.
Other market pricing features include:
CompTool is a compensation market pricing platform that brings together multiple salary survey datasets with job posting data and tools for managing global market pricing.
Who is CompTool best for? Enterprises managing market pricing across multiple countries that need to consolidate salary surveys, standardise benchmark dates, and apply consistent compensation policies.
How CompTool helps with compensation market pricing:
CompTool brings together data from multiple traditional salary surveys, letting you weigh different datasets according to your compensation philosophy and target market positioning.
It also lets you age survey data to a common effective date using country-specific adjustment rates. This helps you compare survey benchmarks from different dates and adjust them consistently based on whether you want to price salaries ahead of, behind, or in line with the market over time.
To supplement survey data, CompTool also offers Squirrel, which collects advertised salary data from over 80 million job postings across the US, Canada, UK, Australia, and India.
You can use this data to cross-check survey benchmarks against advertised pay, although job postings may not necessarily reflect what employers actually pay.
CompTool also supports automated salary survey submissions to the manual work involved in preparing and submitting compensation data to survey providers.
Effective compensation market pricing starts with defining where you want to position your pay against the market. But pricing jobs competitively also highly depends on the quality of the benchmarks you use.
Even sophisticated market pricing tools can’t compensate for outdated or poorly matched pay data.
So before committing to compensation software, assess the freshness, accuracy, and relevance of the benchmarks available for the roles and locations you’re pricing against.
With Ravio, you can explore what comparable employers are paying today with its three free total compensation benchmarks – without having to commit to the software.
Market pricing in compensation is the process of determining what to pay employees by comparing your internal roles against external market pay benchmarks. It helps you set competitive salaries based on your compensation philosophy, target market percentile, and what comparable employers pay for similar roles and levels.
To benchmark compensation, start by matching your internal roles and levels to comparable jobs in a reliable market dataset. Filter benchmarks by relevant peer groups, including industry, location, and company size. Then compare your current employee pay against your chosen market percentile to identify gaps and inform pay decisions.
Free compensation benchmarking options include Ravio’s three free salary benchmarks and Payscale’s free salary calculator. Where Ravio gives your HRIS-sourced, verified total compensation benchmarks for three roles of your choice, Payscale provides employee-reported salary estimates primarily for individuals.
To analyse compensation data, compare employee salaries against reliable market benchmarks for equivalent roles and levels. Compare employee pay against your target market percentile to identify salaries above or below your intended positioning. Then analyse pay across teams, levels, and functions to assess consistency with your compensation philosophy and identify potential pay equity issues. These compensation analysis software can help you with it.
HRIS integration isn’t mandatory, but it makes market pricing more efficient and accurate. It automatically brings employee compensation data into the platform, reducing the need for manual uploads and the associated risk of reporting errors. It also keeps internal pay data current, making it easier to compare employee salaries against market benchmarks.
Real-time salary benchmarking software use HRIS integrations to capture what employers currently pay, while traditional salary surveys rely on periodic manual submissions that may be outdated by publication. As a result, real-time providers give you up-to-date benchmarks for making competitive pay decisions, while reducing manual reporting errors and the risk of relying on outdated market data.
A reliable compensation market pricing provider gives you accurate, current, comparable benchmarks for the roles and talent markets you’re pricing against. Look for verified pay data, support with consistent job mapping and levelling, relevant peer group coverage, and transparent quality assurance. These determine whether you can confidently use the benchmarks for making pay decisions. Ask these 7 questions when evaluating market pricing providers.
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