Top 7 Alternatives to Hubspot for Experimentation

Teams exploring alternatives to HubSpot typically seek better experimentation capabilities: more sophisticated A/B testing beyond basic email splits, advanced statistical methods for reliable results, transparent pricing that scales with usage rather than contacts, and dedicated infrastructure built for product testing.

HubSpot's A/B testing remains limited to marketing campaigns and landing pages, lacking the statistical rigor and flexibility that data-driven teams require. The platform's bundled pricing model forces teams to pay for CRM features they don't need while getting basic testing capabilities that can't handle complex experiments or provide variance reduction techniques.

Strong HubSpot alternatives deliver purpose-built experimentation infrastructure with proven scale, supporting everything from simple feature flags to sophisticated multivariate tests. These platforms provide transparent analytics, real-time results, and deployment flexibility that empowers teams to make confident product decisions based on actual user behavior rather than assumptions.

This guide examines seven alternatives that address these pain points while delivering the A/B testing capabilities teams actually need.

Alternative #1: Statsig

Overview

While HubSpot includes basic A/B testing capabilities, Statsig delivers enterprise-grade experimentation that rivals dedicated platforms like Optimizely. The platform processes over 1 trillion events daily with 99.99% uptime, supporting sophisticated statistical methods like CUPED variance reduction and sequential testing. Unlike HubSpot's limited testing features, Statsig offers both warehouse-native and cloud-hosted deployment options for complete data control.

Statsig's A/B testing engine includes advanced techniques unavailable in HubSpot: stratified sampling, switchback testing, and automated heterogeneous effect detection. The platform supports both Bayesian and Frequentist methodologies, with built-in guardrails and real-time health checks for reliable results. Teams can filter results by segments, compare any variants, and access transparent SQL queries with one click.

"Statsig's experimentation capabilities stand apart from other platforms we've evaluated. Statsig's infrastructure and experimentation workflows have been crucial in helping us scale to hundreds of experiments across hundreds of millions of users." — Paul Ellwood, Data Engineering, OpenAI

Key features

Statsig provides comprehensive A/B testing capabilities that extend far beyond HubSpot's basic split testing functionality.

Advanced statistical methods

• CUPED variance reduction for faster, more reliable results

• Sequential testing and switchback testing for complex experimental designs

• Bonferroni correction and Benjamini-Hochberg procedures for multiple comparisons

• Automated interaction effect and heterogeneous effect detection

Enterprise experimentation infrastructure

• Real-time health checks and automatic rollbacks for metric degradation

• Mutually exclusive experiments to prevent interference

• Holdout groups for measuring long-term impact

• Days-since-exposure cohort analysis for novelty effect detection

Flexible deployment and integration

• Warehouse-native deployment for Snowflake, BigQuery, Databricks, and more

• 30+ high-performance SDKs across every major programming language

• Edge computing support for global deployment

• Native integrations with CDPs and observability tools

Unified platform capabilities

• Turn any feature flag into an A/B test instantly

• Product analytics integrated with experimentation results

• Session replay linked to test variants for qualitative insights

• Single metrics catalog across all tools for consistency

"We transitioned from conducting a single-digit number of experiments per quarter using our in-house tool to orchestrating hundreds of experiments, surpassing 300, with the help of Statsig." — Mengying Li, Data Science Manager, Notion

Pros vs. HubSpot

Statistical sophistication beyond basic split testing

Statsig offers variance reduction techniques and advanced statistical methods that HubSpot lacks entirely. Teams can run more complex experiments with smaller sample sizes and get reliable results faster.

Transparent, affordable pricing for A/B testing

Unlike HubSpot's bundled pricing, Statsig charges only for analytics events—not for experiments or users. The generous free tier includes 2M events monthly, making enterprise-grade testing accessible to startups.

Developer-first infrastructure with proven scale

Processing trillions of events for companies like OpenAI, Statsig provides infrastructure that scales infinitely. HubSpot's A/B testing remains limited to marketing campaigns and basic website tests.

Complete experimentation lifecycle management

From hypothesis to analysis, Statsig manages the entire A/B testing workflow. Automated summaries, experiment templates, and comprehensive metric support streamline processes that require multiple tools in HubSpot.

"It's the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation." — Joel Witten, Head of Data, RecRoom

Cons vs. HubSpot

Requires technical implementation for full value

While HubSpot's A/B tests work out-of-the-box for emails and landing pages, Statsig requires SDK integration. Non-technical marketers might need engineering support initially.

Less marketing-specific testing templates

HubSpot provides pre-built A/B test templates for email subject lines and CTAs. Statsig focuses on product experimentation, requiring custom setup for marketing tests.

Separate from existing HubSpot workflows

Teams deeply embedded in HubSpot's ecosystem must manage another platform. Though Statsig integrates via APIs, it's not native to HubSpot's campaign builder.

Alternative #2: Optimizely

Overview

Optimizely positions itself as an enterprise-grade experimentation platform that focuses entirely on sophisticated A/B testing and optimization. The platform specializes in comprehensive optimization through advanced testing methodologies and personalization features. While HubSpot offers marketing automation with limited experimentation tools, Optimizely dedicates its entire infrastructure to helping teams run complex experiments across web, mobile, and server-side environments.

The platform attracts companies that need robust statistical analysis and testing scenarios beyond basic email splits. Optimizely's strength lies in handling multivariate testing, feature flagging, and personalization at scale - capabilities that justify its higher complexity and enterprise pricing compared to HubSpot's all-in-one approach.

Key features

Optimizely delivers enterprise-level experimentation capabilities through four core product areas.

Web experimentation

• Visual editor allows non-technical users to create tests without coding

• Advanced targeting options include behavioral, demographic, and custom audience segments

• Real-time results dashboard provides statistical significance calculations and confidence intervals

• JavaScript API enables custom test implementations and tracking

Feature experimentation

• Server-side testing enables backend optimization and API experimentation

• Feature flags allow gradual rollouts and instant rollbacks for risk management

• SDK support covers major programming languages for seamless integration

• Experiment coordination prevents conflicts between simultaneous tests

Personalization engine

• Dynamic content delivery based on visitor attributes and behavior patterns

• Machine learning algorithms optimize experiences automatically over time

• Cross-channel personalization maintains consistency across touchpoints

• Real-time decisioning adapts to user behavior within sessions

Analytics and reporting

• Statistical engine handles complex experimental designs with proper significance testing

• Custom metrics tracking allows measurement of business-specific KPIs

• Integration capabilities connect with existing analytics tools and data warehouses

• Multi-armed bandit algorithms automatically allocate traffic to winning variants

Pros vs. HubSpot

Advanced experimentation capabilities

Optimizely offers sophisticated multivariate testing and statistical calculations that surpass HubSpot's basic split testing. The platform handles complex experimental designs with proper significance testing and confidence intervals.

Server-side testing flexibility

Unlike HubSpot's client-side limitations, Optimizely enables backend experimentation for algorithms, pricing models, and infrastructure changes. This capability opens testing possibilities that aren't feasible with marketing-focused platforms.

Enterprise-grade feature flagging

Optimizely's feature flag system provides granular control over releases with instant rollback capabilities. Teams can test features with specific user segments before full deployment - functionality HubSpot doesn't offer.

Dedicated experimentation focus

The platform's singular focus on optimization means deeper functionality and more sophisticated testing methodologies. Every feature serves experimentation needs rather than being an afterthought to marketing automation.

Cons vs. HubSpot

Higher complexity and learning curve

Optimizely requires significant technical expertise to implement effectively. Teams often need dedicated resources and training to maximize the platform's capabilities, unlike HubSpot's intuitive interface.

Significantly higher pricing

Enterprise-focused pricing makes Optimizely substantially more expensive than HubSpot's marketing plans. Small businesses may find the cost prohibitive for their experimentation needs, with contracts often exceeding $50,000 annually.

Limited marketing automation integration

Unlike HubSpot's comprehensive suite, Optimizely focuses solely on experimentation without email marketing or CRM functionality. Teams need additional tools to create complete marketing workflows, as noted in alternative platform comparisons.

Separate tool management

Running Optimizely alongside existing marketing tools creates data silos and workflow complexity. The lack of native marketing features means teams must integrate multiple platforms to achieve what HubSpot provides in one system.

Alternative #3: VWO

Overview

VWO positions itself as a comprehensive experimentation platform that goes beyond basic A/B testing to include heatmaps, session recordings, and user behavior analytics. The platform targets businesses looking to optimize their digital experiences through data-driven testing combined with qualitative insights. Unlike HubSpot's broad CRM focus, VWO specializes specifically in conversion rate optimization and user experience testing.

While VWO excels in experimentation capabilities, it operates in a fundamentally different category than HubSpot's all-in-one marketing platform. Teams considering VWO typically need dedicated testing tools with deeper behavioral insights rather than comprehensive CRM functionality - making it ideal for optimization specialists but limiting for teams seeking unified marketing solutions.

Key features

VWO provides a full suite of experimentation and optimization tools designed for conversion rate optimization.

A/B testing and experimentation

• Visual editor allows non-technical users to create tests without coding

• Multivariate testing capabilities for complex variable combinations

• Server-side testing for backend optimizations and performance improvements

• Mobile app testing SDKs for iOS and Android applications

User behavior analytics

• Heatmaps show where users click, scroll, and engage on pages

• Session recordings capture complete user journeys and interactions

• Form analytics identify drop-off points in conversion funnels

• Survey tools collect qualitative feedback directly from users

Personalization engine

• Dynamic content delivery based on user segments and behavior

• Real-time personalization using visitor data and preferences

• Campaign targeting with demographic and behavioral triggers

• Geo-targeting for location-specific experiences

Reporting and insights

• Statistical significance calculations with confidence intervals

• Revenue impact tracking for business-critical metrics

• Integration dashboards connecting test results to business outcomes

• Custom reports with exportable data for stakeholder presentations

Pros vs. HubSpot

Specialized experimentation focus

VWO dedicates its entire platform to testing and optimization, offering deeper A/B testing capabilities than HubSpot's basic features. The platform includes advanced statistical methods and testing methodologies that HubSpot lacks entirely.

Visual test creation without technical barriers

The drag-and-drop editor enables marketers to create sophisticated tests without developer involvement. This reduces time-to-test dramatically compared to HubSpot's limited visual editing capabilities for experiments.

Comprehensive user insights beyond metrics

Heatmaps and session recordings provide qualitative data that complements quantitative test results. These behavioral insights help teams understand the "why" behind test results - context HubSpot's analytics can't provide.

Faster implementation for pure testing needs

Teams focused solely on website optimization can avoid HubSpot's extensive CRM setup. VWO's streamlined approach reduces implementation time from weeks to days for companies that just need testing capabilities.

Cons vs. HubSpot

Limited marketing automation capabilities

VWO lacks email marketing, lead nurturing, and workflow automation that HubSpot provides. Teams need separate tools for comprehensive marketing campaigns, increasing overall complexity and cost.

No CRM functionality

Contact management, deal tracking, and sales pipeline features aren't available in VWO. Businesses requiring customer relationship management must integrate additional platforms, creating data synchronization challenges.

Narrow platform scope

While VWO excels at experimentation, it doesn't offer the broad marketing suite that HubSpot alternatives typically provide. Teams seeking all-in-one solutions will find VWO too specialized for comprehensive marketing needs.

Higher total cost for complete stack

Although VWO's pricing appears competitive, teams must factor in additional tools for email, CRM, and automation. The total cost often exceeds HubSpot when accounting for all necessary marketing functionality.

Alternative #4: LaunchDarkly

Overview

LaunchDarkly takes a fundamentally different approach than traditional marketing platforms by focusing exclusively on feature management and controlled releases. While HubSpot centers on marketing automation and CRM, LaunchDarkly specializes in helping development teams deploy features safely through progressive rollouts and targeted experimentation. This developer-first platform serves engineering teams who need precise control over feature releases rather than comprehensive marketing workflows.

The platform's strength lies in separating code deployment from feature activation, allowing teams to test features with specific user segments before full releases. This approach enables sophisticated A/B testing of product functionality - not just marketing content - while providing instant rollback capabilities if issues arise. Companies like Atlassian and IBM rely on LaunchDarkly to manage feature releases across millions of users.

Key features

LaunchDarkly's feature set revolves around sophisticated feature flag management and controlled experimentation.

Feature flag management

• Real-time feature toggles that activate or deactivate without code deployments

• Percentage-based rollouts that gradually expose features to larger user groups

• Environment-specific controls for staging, production, and development releases

• Kill switches for instant feature deactivation during incidents

Advanced targeting and segmentation

• Custom user attributes for precise audience targeting during A/B testing

• Multi-variate testing capabilities for complex feature variations

• Behavioral targeting based on user actions and characteristics

• Geographic and demographic segmentation for localized testing

Developer-focused tools

• SDKs for 25+ programming languages and frameworks

• Integration with CI/CD pipelines for automated feature management

• Real-time configuration updates without application restarts

• Git-based workflows for feature flag version control

Analytics and monitoring

• Feature performance tracking with custom metrics

• Impact measurement for A/B testing results

• Real-time monitoring of feature adoption and user behavior

• Integration with analytics platforms like Datadog and New Relic

Pros vs. HubSpot

Superior feature release control

LaunchDarkly provides granular control over feature releases that HubSpot can't match. You can target specific user segments, roll out features gradually, and instantly rollback problematic releases without touching code.

Developer-centric workflow integration

The platform integrates seamlessly with development workflows and CI/CD pipelines. Engineers can manage features directly from their existing tools rather than switching to marketing-focused interfaces that don't align with their processes.

Advanced A/B testing for product features

LaunchDarkly excels at testing product functionality rather than marketing campaigns. You can run sophisticated experiments on user interface changes, algorithm variations, and feature performance with detailed statistical analysis tailored for product decisions.

Real-time feature management at scale

Unlike HubSpot's batch-processed changes, LaunchDarkly enables instant feature modifications without deployments. This capability reduces risk dramatically and allows rapid response to user feedback or performance issues affecting live users.

Cons vs. HubSpot

Absence of marketing automation

LaunchDarkly lacks email marketing, lead nurturing, and CRM capabilities that HubSpot provides. You'll need separate tools for marketing campaigns and customer relationship management, increasing stack complexity.

Higher complexity for non-technical users

The platform requires technical knowledge to implement effectively, as noted in feature flag platform comparisons. Marketing teams accustomed to visual interfaces will struggle with LaunchDarkly's code-centric approach.

Narrow use case focus

While HubSpot offers comprehensive business tools, LaunchDarkly serves primarily feature management needs. Companies seeking all-in-one solutions must purchase and integrate additional platforms for marketing, sales, and service functions.

Limited testing scope

LaunchDarkly's A/B testing capabilities focus on feature performance rather than conversion optimization. Teams can't easily test landing pages, email campaigns, or marketing content without additional tools designed for those use cases.

Alternative #5: Mixpanel

Overview

Mixpanel focuses exclusively on product analytics and event-based tracking rather than the broad CRM approach that defines HubSpot. The platform tracks user behavior through detailed event analytics, letting you understand exactly how people interact with your product at a granular level. Unlike HubSpot's marketing-first design, Mixpanel builds everything around answering product questions through behavioral data.

This specialization means you get deeper insights into user journeys and product performance than HubSpot's contact-centric model allows. However, you'll need separate tools for email marketing, lead management, and sales processes that HubSpot handles natively - making Mixpanel ideal for product teams but incomplete for marketing departments.

Key features

Mixpanel's analytics capabilities center on understanding user behavior and measuring product success.

Event tracking and analysis

• Track any user action as a custom event with unlimited properties

• Analyze user paths and conversion funnels across your entire product

• Segment users based on behavior patterns and demographic data

• Retroactive analysis on historical data without re-implementation

Cohort and retention analysis

• Group users by shared characteristics or behaviors for targeted analysis

• Measure retention rates across different time periods and user segments

• Compare how different cohorts engage with your product over time

• Predictive analytics to identify users likely to churn or convert

A/B testing integration

• Run experiments directly within the analytics platform for seamless testing

• Measure statistical significance and confidence intervals automatically

• Connect test results to downstream metrics like retention and revenue

• Feature flag integration for controlled rollouts with measurement

Real-time reporting

• View user actions and metric changes as they happen

• Set up automated alerts when key metrics hit specific thresholds

• Access live dashboards that update without manual refresh

• Custom formulas for complex metric calculations

Pros vs. HubSpot

Deeper product insights through event tracking

Mixpanel's event-based tracking provides granular visibility into user behavior that HubSpot's contact-focused system can't match. You can track every click, scroll, and interaction to understand exactly how users engage with specific features.

Advanced cohort analysis capabilities

The platform excels at grouping users by behavior and measuring how different segments perform over time. This behavioral segmentation goes far beyond HubSpot's basic contact properties and list management.

Real-time data processing

Unlike HubSpot's batch processing approach, Mixpanel shows user actions immediately as they occur. This enables rapid product iterations based on live user feedback and behavior patterns that would be delayed in HubSpot.

Integrated A/B testing with product metrics

Running experiments within the same platform where you analyze results eliminates data silos. You can measure test impact on any tracked event without switching between tools or reconciling conflicting data sources.

Cons vs. HubSpot

No CRM functionality

Mixpanel lacks basic sales tools like contact management, deal tracking, and email sequences that HubSpot provides. You'll need separate platforms for lead nurturing and sales pipeline management, creating integration challenges.

Technical implementation required

Setting up event tracking requires developer involvement to instrument your product properly. HubSpot's marketing tools work immediately after adding a simple tracking code, making it accessible to non-technical teams.

Limited marketing automation

The platform doesn't include email marketing, landing page builders, or lead scoring capabilities. Teams need additional tools to handle marketing workflows that HubSpot manages natively, as noted in comprehensive HubSpot alternative reviews.

Higher learning curve for analysis

Understanding event-based analytics requires more technical knowledge than HubSpot's intuitive contact-centric approach. Non-technical team members often struggle to create meaningful reports without training or dedicated analyst support.

Alternative #6: Split.io

Overview

Split.io positions itself as a feature delivery platform that combines feature flags with built-in experimentation capabilities. Unlike HubSpot's marketing-focused A/B testing, Split.io enables product and engineering teams to run sophisticated experiments on application features and backend systems. The platform emphasizes safe deployments and data-driven decision making through controlled rollouts and integrated analytics.

Split.io emerged from the recognition that traditional A/B testing tools couldn't handle the complexity of modern software development. The platform serves companies that need to test features in production environments while maintaining system stability - a use case completely outside HubSpot's marketing optimization focus.

Key features

Split.io provides comprehensive feature management with native experimentation capabilities.

Feature management and targeting

• Dynamic feature flags with instant on/off controls across environments

• Attribute-based targeting for precise user segmentation

• Percentage rollouts with automatic monitoring and alerts

• Dependency management to coordinate related features

Experimentation engine

• Statistical significance calculations with multiple testing corrections

• Support for metrics beyond conversion including latency and errors

• Automated alerts for metric regressions during experiments

• Multi-variate testing with complex treatment combinations

Developer experience

• SDKs for all major languages with sub-millisecond performance

• Local development mode for testing without external dependencies

• API access for programmatic feature and experiment management

• Version control integration for configuration as code

Monitoring and observability

• Real-time feature impact tracking on system performance

• Integration with APM tools like Datadog and New Relic

• Automated rollback triggers based on error rates or latency

• Audit logs for compliance and debugging

Pros vs. HubSpot

Engineering-focused experimentation

Split.io provides experimentation capabilities designed for product features rather than marketing content. Teams can test algorithm changes, infrastructure modifications, and user experience variations that HubSpot's tools can't handle.

Production-safe testing

The platform includes monitoring and automatic rollback capabilities that protect system stability during experiments. This safety net allows teams to test in production confidently - something impossible with HubSpot's marketing-only focus.

Unified feature and experiment management

Every feature flag in Split.io can become an experiment without additional setup. This tight integration reduces the complexity of running tests compared to HubSpot's separate A/B testing tools.

Performance-oriented infrastructure

Split.io's SDKs operate with sub-millisecond latency, ensuring experiments don't impact application performance. HubSpot's client-side testing can slow page loads and hurt user experience during tests.

Cons vs. HubSpot

No marketing capabilities

Split.io lacks email marketing, landing pages, and campaign management tools. Marketing teams need entirely separate platforms to handle their workflows, increasing overall complexity.

Developer-centric interface

The platform assumes technical knowledge that many HubSpot users don't possess. Marketers and product managers often struggle with Split.io's engineering-focused terminology and workflows.

Limited visual testing tools

Unlike HubSpot's visual editor for creating tests, Split.io requires code changes for most experiments. This technical barrier slows down testing velocity for non-engineering teams.

Higher implementation effort

Getting value from Split.io requires significant engineering investment to instrument code properly. HubSpot's plug-and-play approach works immediately for marketing use cases without developer involvement.

Alternative #7: Adobe Target

Overview

Adobe Target represents the enterprise end of A/B testing and personalization platforms, designed for large organizations with complex testing needs and substantial budgets. Unlike previous alternatives that balance sophistication with accessibility, Adobe Target caters exclusively to enterprises requiring advanced multivariate testing and AI-driven personalization at massive scale.

The platform integrates deeply with Adobe's Experience Cloud ecosystem, making it particularly attractive for organizations already invested in Adobe Analytics, Experience Manager, or Campaign. However, this enterprise focus comes with significant complexity and costs that often exceed $100,000 annually - placing it far outside the reach of most businesses considering HubSpot.

Key features

Adobe Target delivers comprehensive testing and personalization through its enterprise platform.

A/B testing and multivariate testing

• Advanced statistical models support complex experimental designs with multiple variables

• Real-time results processing enables quick decision-making during active tests

• Automated traffic allocation optimizes performance while tests are running

• Server-side testing capabilities for backend experimentation

AI-powered personalization

• Adobe Sensei AI automatically creates personalized experiences for different user segments

• Machine learning algorithms continuously optimize content delivery based on behavior

• Predictive analytics identify which visitors are most likely to convert

• Automated personalization tests thousands of combinations simultaneously

Enterprise integration capabilities

• Native integration with Adobe Analytics provides comprehensive data analysis

• Seamless connection to Adobe Experience Manager enables content personalization

• API access allows custom integrations with existing enterprise systems

• Real-time data syndication across Adobe Experience Cloud

Advanced targeting and segmentation

• Sophisticated audience targeting based on behavioral, demographic, and contextual data

• Real-time profile updates ensure personalization reflects current user state

• Cross-channel personalization maintains consistency across web, mobile, and email

• Geographic and time-based targeting for regional campaigns

Pros vs. HubSpot

Enterprise-grade testing capabilities

Adobe Target offers multivariate testing and statistical methods that surpass HubSpot's basic functionality. The platform handles experimental designs with dozens of variables that would overwhelm simpler tools.

AI-driven personalization at scale

Adobe Sensei's machine learning automatically optimizes experiences for individual users across millions of visitors. This automation delivers sophisticated personalization that HubSpot's basic tokens can't approach.

Comprehensive analytics integration

The tight integration with Adobe Analytics provides deeper insights than HubSpot's built-in reporting. Teams can analyze test results alongside comprehensive user journey data, attribution modeling, and predictive analytics.

Cross-channel experience optimization

Adobe Target personalizes experiences across web, mobile, email, and even offline channels from a single platform. HubSpot's testing remains limited primarily to email and basic web content.

Cons vs. HubSpot

Prohibitive cost structure

Adobe Target's enterprise pricing often exceeds $100,000 annually, making it inaccessible for most businesses. Small to medium companies will find the cost completely unjustifiable compared to HubSpot's reasonable tiers.

Extreme implementation complexity

The platform requires dedicated technical resources, extensive training, and often external consultants to implement effectively. HubSpot's user-friendly interface allows immediate value without specialized expertise.

Overwhelming learning curve

Adobe Target's advanced features create complexity that frustrates teams accustomed to simpler tools. Most users need formal certification and ongoing support to utilize even basic functionality effectively.

Overkill for most testing needs

The platform's enterprise capabilities far exceed what most organizations actually need. Teams running straightforward A/B tests will find Adobe Target unnecessarily complex compared to HubSpot's appropriate feature set.

Closing thoughts

Choosing the right A/B testing platform depends entirely on your team's specific needs and technical capabilities. HubSpot works well for marketing teams running basic email splits and landing page tests, but falls short when you need sophisticated experimentation infrastructure, advanced statistical methods, or product-level testing capabilities.

For teams serious about experimentation, platforms like Statsig offer the perfect balance: enterprise-grade testing capabilities with transparent pricing and generous free tiers. You get CUPED variance reduction, warehouse-native deployment, and integrated analytics without the complexity of Adobe Target or the limitations of marketing-only tools.

The key is matching your platform choice to your actual testing needs. Marketing teams might find VWO's visual editor and heatmaps valuable, while engineering teams gravitate toward LaunchDarkly or Split.io for feature management. Data teams often prefer Mixpanel's event-based analytics or Statsig's SQL transparency.

Whatever you choose, ensure your platform can grow with your experimentation maturity. Starting with a flexible, affordable option like Statsig lets you scale from simple A/B tests to sophisticated multi-variate experiments without switching platforms or breaking budgets.

Want to dive deeper into experimentation platforms? Check out Statsig's guide to feature flag costs or explore how modern companies approach experimentation to make the most informed decision for your team.

Hope you find this useful!