Convert.com (formerly Convert Experiments) has a clear positioning in the A/B testing market: a privacy-first, GDPR-compliant testing platform aimed at teams that care about data governance as much as they care about conversion rates. Built by Dennis van der Heijden and his team since 2012, it has earned a genuine reputation for reliable anti-flicker, solid customer support, and a more transparent pricing structure than the enterprise platforms that dominate the space.
That reputation is earned. Convert.com is a well-built product that delivers what it promises for the segment it targets. But reputation and fit are two different things, and the gap between what Convert is designed to do and what most growth teams actually need is wide enough to justify a careful comparison before committing.
The central issue is pricing architecture. Convert.com charges based on Monthly Tested Users: the number of unique visitors who are exposed to at least one running experiment in a given month. At 100,000 MTU, the Growth plan starts around $299 per month billed annually. At 250,000 MTU it climbs into the $700 to $900 range. At 500,000 MTU and above, you are looking at enterprise-tier contracts. For a growing business, this means your testing costs increase in direct proportion to the traffic that your marketing and product investments are generating. That is an unusual incentive structure for a tool whose purpose is to help you grow.
“The most expensive A/B testing bill you will ever pay is not the one with the highest monthly rate. It is the one that gets higher every time a growth initiative succeeds.”
Segmently
The Short Version
- Choose Convert.com if: data residency, GDPR compliance, and cookieless experimentation modes are genuine requirements that your legal or compliance team has mandated, and you are prepared for a pricing model where costs scale with your traffic.
- Choose Segmently if: A/B testing velocity is your primary goal, you want flat predictable pricing that does not increase as your site grows, and you need a visual editor with native support for modern JavaScript frameworks including React and Next.js.
- The honest reality: Convert.com is a capable tool, but its pricing model penalizes the traffic growth that your optimization program is designed to produce. For most growth-stage teams, the privacy compliance advantages are valuable but do not justify the cost trajectory of usage-based pricing.
Platform Overview
Convert.com
Convert.com positions itself as the responsible choice in A/B testing. Its core differentiators are GDPR-compliant data handling, cookieless experimentation modes (using localStorage or fingerprinting instead of third-party cookies), data processing agreements for European teams, and a configurable data residency setup. For healthcare organizations, financial services firms, and European companies where data governance is a board-level concern, these features have real value.
Beyond privacy, Convert offers A/B testing, multivariate testing, split URL testing, and a visual editor with code injection. The platform supports audience targeting by URL, device type, cookies, traffic source, and geolocation. It has a 15-day free trial but no permanent free plan. Self-serve signup is available, which puts it ahead of platforms like Optimizely and AB Tasty that gate all access behind a sales conversation.
The platform has been particularly well-regarded in independent reviews for customer support quality and for the reliability of its anti-flicker implementation. Teams that have moved to Convert from other platforms often cite support responsiveness as a meaningful part of the experience.
Segmently
Segmently is purpose-built for A/B testing velocity. The platform covers the complete experimentation workflow: a point-and-click visual editor, CSS and JavaScript injection, behavioral audience targeting, weighted variant assignment, real statistical significance tracking, multi-page funnel goals, Slack notifications, and integrations with GA4, Mixpanel, and custom webhooks. It does not offer cookieless fingerprinting modes or the same depth of GDPR-specific configuration that Convert provides, and that is a deliberate choice. The assumption is that teams whose primary constraint is conversion rate optimization are better served by a platform optimized for experiment velocity than by one optimized for data governance frameworks.
Pricing is flat per tier, with no variation based on traffic. A team with 100,000 monthly visitors pays the same monthly fee as a team with 1,000,000. That single structural difference changes the ROI calculation for any team in growth mode.
Pricing: What the MTU Model Actually Costs Over Time
Convert.com publishes its pricing, which is a meaningful advantage over Optimizely and AB Tasty. Transparency matters, and Convert deserves credit for it. But the pricing model itself creates a problem that transparency does not solve.
At 100,000 monthly tested users, Convert's Growth plan costs approximately $299 per month billed annually ($399 month-to-month). That is a reasonable entry point for a mid-size testing program. But now consider what happens when the business succeeds: a content marketing initiative doubles organic traffic, a paid acquisition campaign brings in 150,000 new monthly visitors, a product launch drives a spike in site traffic. Each of these outcomes raises your Convert bill. The tool that helped you achieve those outcomes is now charging you more because you achieved them.
At 250,000 monthly tested users, Convert's pricing climbs into the $700 to $900 per month range depending on features and contract terms. At 500,000 MTU, you are in enterprise pricing discussions. For a business that starts at 80,000 monthly visitors and grows at 40% per year (a reasonable trajectory for a healthy SaaS or e-commerce business), the three-year cost curve on Convert looks nothing like the entry price.
Segmently's pricing structure looks like this instead.
- Free tier: $0; one project, one active experiment, full analytics. No visitor cap. No time limit. No credit card required.
- Professional: $499 per month; five active experiments, full analytics with statistical significance, funnel goals, experiment scheduling, and Slack notifications.
- Business: $1,499 per month; three projects, twenty active experiments, five team seats, GA4, Mixpanel, and webhook integrations, REST API access.
- Enterprise: $9,999 per month; unlimited everything, 99.99% SLA, white-label, SOC 2 and HIPAA compliance, dedicated infrastructure.
The same team growing from 80,000 to 260,000 monthly visitors over three years pays $499 per month on Segmently Professional throughout the entire period. Not $299 in year one that climbs to $900 in year three. The experimentation program that helped drive that growth is not penalized for succeeding.
“When you run an experiment that lifts conversion rates by 15 percent, your traffic investment starts working harder. Your A/B testing platform should congratulate you with better results dashboards, not a larger invoice.”
Segmently
The Free Tier Question
Convert.com offers a 15-day free trial. After 15 days, you must commit to a paid plan or lose access to everything you configured during the trial. There is no permanent free option.
This matters for more than just cost. A 15-day window to validate that a testing platform fits your specific site architecture, your team's technical skills, and your particular conversion goals is genuinely constraining. Experiment cycles on most pages need at least two to three weeks to reach statistical significance. Running a meaningful experiment and interpreting the results is difficult to accomplish within a trial window.
Segmently's free tier is permanent. One project, one active experiment, no time limit, no credit card required. You can run real experiments on a live site, collect real data, and evaluate whether the platform fits before spending anything. The free tier is not a stripped-down demo environment; it is a real working tier with access to the visual editor, statistical significance reporting, and full analytics. For teams that need to validate fit before committing budget, permanent access is a different category of offer than a 15-day countdown.
Visual Editor: SPA Compatibility and Framework Support
The practical quality of a visual editor on modern web applications is often more important to testing velocity than any other single platform characteristic. An editor that requires developer involvement to build standard tests defeats the purpose of having a visual editor.
Convert.com's Visual Editor
Convert.com's visual editor includes both a WYSIWYG interface and a code editor, covering the range from simple text changes to complex JavaScript injections. For traditional server-rendered websites, including WordPress, Webflow, and custom HTML/CSS setups, it works reliably.
Single-page applications present a known challenge. Convert's own documentation describes the approach required for SPA support: custom JavaScript conditions combined with a polling mechanism that checks for specific DOM changes after each client-side route transition. This works, but it requires developer involvement to implement correctly for each application. A marketing team member or growth manager without engineering support cannot reliably build SPA experiments using Convert's visual editor alone.
Segmently's Visual Editor
Segmently's visual editor communicates with the lightweight snippet already installed on the target domain. Because the snippet runs natively on the user's domain rather than through a proxy rewrite, it behaves exactly the way a production user does. React routing, Vue navigation, Next.js server components, and Shopify Plus themes all render in the editor exactly as they do in production. SPA route changes are handled automatically by the snippet's history.pushState listener with no configuration required.
Practically, this means a growth manager at a Next.js e-commerce company can open the visual editor, navigate to any product page, click on the hero button, change its text and color, and launch an experiment without writing a single line of custom JavaScript or filing a developer ticket. That is not possible on most platforms for dynamically rendered pages. It is the baseline on Segmently.
Anti-Flicker: Where Both Platforms Excel
Anti-flicker is an area where Convert.com has genuinely earned its reputation. The platform's SmartInsert technology handles the hide-and-reveal sequence with care, and Convert's support team is known for helping customers debug flicker issues that emerge from unusual page configurations. For teams whose primary concern is flicker on complex server-rendered pages, Convert's implementation is solid.
Segmently's anti-flicker is architectural rather than configurable. The body opacity is set to zero via a synchronous document.write injection before a single byte of HTML is parsed, on every non-iframe page load for every visitor bucketed into an active experiment. There is no placement instruction to follow, no loading behavior to tune, and no timeout to calibrate. The page is revealed after all variant changes have been applied, plus any configured per-experiment activation delay (which can be set to millisecond precision for each experiment individually). A hard five-second failsafe ensures no page is permanently hidden if something unexpected occurs.
One structural difference worth noting: Segmently allows a per-experiment activation delay setting. Convert's anti-flicker is a global configuration. This matters when different pages on your site have different dependency load times: a checkout page that loads three third-party widgets needs a longer activation window than a simple landing page. Per-experiment tuning means you can optimize the hide duration for each test independently rather than choosing a single value that is either too aggressive for slow pages or unnecessarily long for fast ones.
Privacy and GDPR Compliance: Where Convert Wins
Convert.com's privacy stance is genuine and documented. The platform offers cookieless experimentation using localStorage or browser fingerprinting, which enables A/B testing without storing any data in browser cookies. This is meaningful for teams operating in regulatory environments where cookie consent requirements are strict and visitor opt-out rates are high enough to compromise test data quality.
Convert also offers data processing agreements, configurable data residency (EU data can stay within the EU), and explicit GDPR tooling. For teams in healthcare, financial services, insurance, or any sector where a data protection officer or legal team has specific requirements about how visitor behavior data is stored and processed, Convert's compliance infrastructure has real value.
Segmently uses first-party tracking cookies to maintain consistent visitor assignments across sessions. These are necessary for the foundational guarantee of A/B testing: that a visitor assigned to Variant A on Monday still sees Variant A on Friday. The platform does not perform cross-site tracking, does not use third-party cookies, and does not sell or share visitor data. But it does not currently offer cookieless modes or the same depth of GDPR-specific configuration infrastructure that Convert provides.
For teams where compliance requirements drive the platform decision, Convert's privacy capabilities are a legitimate reason to choose it over alternatives. For teams where conversion rate optimization is the primary driver and privacy compliance is satisfied by standard first-party cookie usage, the compliance premium in Convert's pricing model is likely not justified.
Snippet Performance
The A/B testing snippet runs synchronously on every page load for every visitor to your site. This is not optional: anti-flicker requires synchronous execution before HTML is parsed. The implication is that snippet size directly affects page load performance for 100% of your visitors, not just those in active experiments.
Segmently's snippet ships under 10 KB minified and gzipped. Every byte matters on slow mobile connections, and the snippet's minimal footprint means the synchronous loading cost is as small as it can be while still delivering reliable experiment execution.
Convert.com's snippet is well-optimized for a full-featured platform, but it includes more built-in library code to support its broader feature set including cookie-based targeting, cookieless modes, and the full range of audience conditions. Independent measurements consistently place it meaningfully heavier than Segmently's implementation. For high-traffic sites where Core Web Vitals are part of the business metric set, this difference shows up in real performance audits.
Targeting Capabilities
Convert.com has a more complete targeting feature set than Segmently in specific categories. Cookie-based targeting, time-of-day rules, day-of-week conditions, traffic source filters, and UTM parameter targeting are all available in Convert. For teams that need to run experiments exclusively for visitors arriving from specific paid search campaigns, or who want to suppress experiments on weekend traffic, Convert provides the controls natively.
Segmently covers URL targeting (exact, contains, starts with, ends with, regex), device targeting, behavioral triggers (new vs. returning, scroll depth, time on page, element click, referral source), and custom JavaScript attribute targeting via window.Segmently.setAttributes(). The attribute targeting approach is flexible enough to replicate most cookie or session-based targeting scenarios, but it requires a small amount of custom code to set up on the first use.
Teams with complex audience segmentation requirements involving multiple overlapping conditions across cookie values, traffic sources, and time windows will find Convert's native targeting more complete. Teams whose targeting primarily involves URL rules, device type, and behavioral triggers will find Segmently's capabilities sufficient without the additional pricing.
Integrations
Convert.com integrates with Google Analytics 4, Segment, Google Tag Manager, and several other analytics and tag management platforms. GA4 and GTM are the integrations most teams use, and both work reliably. The platform also has documentation for integrating with popular e-commerce platforms and CMS systems.
Segmently supports GA4, Mixpanel, Slack notifications, and outgoing webhooks on Business tier and above. The webhook integration provides a flexible bridge to any downstream system that can receive JSON payloads, including custom analytics infrastructure, data warehouses, CRM systems, and Segment for fan-out to multiple destinations. For teams whose primary data pipeline runs through GA4 or Mixpanel, Segmently's integration coverage is complete.
Onboarding Speed
Convert.com has a self-serve signup path, which puts it ahead of enterprise platforms that require a sales conversation to access the product. Once signed up, the 15-day trial gives access to the full platform. For a traditional server-rendered site, initial setup (installing the snippet, configuring a project, and launching a first experiment) takes a few hours.
For SPA setups, initial configuration takes longer because of the polling and custom JavaScript condition work required for reliable SPA support. Teams without developer resources available may find the first SPA experiment takes two to four days rather than a few hours.
Segmently aims for a first experiment running the same day you sign up. Install the snippet (one script tag), create a project, open the visual editor, build the variant, configure a conversion goal, set traffic allocation, and launch. SPA support is automatic. No custom conditions, no polling configuration, no developer required. The path from signup to first live experiment is deliberately short, because every day of delay is a day without learning.
Where Convert.com Wins
The cases where Convert.com is the stronger choice are specific and worth stating directly.
- Strict data residency and GDPR compliance: If your DPA, legal team, or data protection officer has mandated EU data residency, cookieless experimentation, or specific data processing agreements, Convert's compliance infrastructure is genuinely differentiated.
- Cookieless experimentation: For sites operating in high-consent-friction environments where cookie opt-out rates are above 30 to 40 percent, Convert's localStorage and fingerprinting modes allow accurate experiment assignment for a significantly larger portion of your visitor pool.
- Complex native targeting conditions: Teams that need cookie-based, time-based, traffic-source-based, and UTM-based targeting conditions without writing custom JavaScript will find Convert's native controls more complete.
- Stable traffic, no significant growth planned: If your visitor count is stable and you have no expectation of significant traffic growth, the MTU model's cost trajectory is not a concern. Convert's entry price is competitive for teams in this situation.
- Established Convert workflows: If your team has built institutional knowledge, custom scripts, and established reporting workflows around Convert, the switching cost is real and should factor into any evaluation.
Where Segmently Wins as a Convert Alternative
- Flat pricing that rewards growth: your testing costs are the same whether you serve 100,000 or 1,000,000 visitors per month. Every traffic milestone your marketing team hits does not increase your A/B testing bill.
- Permanent free tier with no time limit: run real experiments, collect real data, and evaluate fit before committing any budget. No 15-day countdown, no credit card required.
- Native SPA and React support: Next.js, React, Vue, and headless architectures all work without custom polling code or developer involvement. The editor works on the production site as it actually runs.
- Per-experiment activation delay: tune the reveal timing for each individual experiment rather than applying a global setting that is either too aggressive for complex pages or unnecessarily slow for simple ones.
- Lighter snippet footprint: under 10 KB means less synchronous load time on every page for every visitor, which shows up in Core Web Vitals and page performance metrics.
- Transparent pricing with no traffic surprises: the entire price list is on the pricing page. Your bill 12 months from now is the same as your bill today, regardless of how much traffic you drive.
Three-Year Cost Model
Three-year cost comparisons are the most honest way to evaluate MTU-based pricing against flat-rate alternatives. Consider a SaaS product with 80,000 monthly visitors today growing at 35 percent per year.
Year one on Convert Growth (starting at 80K MTU, growing to roughly 108K): average monthly cost approximately $350. Year two (108K growing to 145K MTU): approximately $500 to $600 per month. Year three (145K growing to 196K MTU): approximately $700 to $850 per month. Three-year total: roughly $18,000 to $22,000, on the Testing-focused plan, before any enterprise negotiation.
The same team on Segmently Professional: $499 per month, flat, every month. Three-year total: $17,964, including funnel goals, experiment scheduling, Slack notifications, and full analytics, regardless of whether monthly visitors hit 500,000.
At 35 percent annual traffic growth, the three-year costs are roughly comparable at today's entry price. At 50 percent growth (common for early-stage SaaS and e-commerce brands executing well), the MTU model breaks significantly higher. For teams whose strategy includes growing traffic, the flat-rate model becomes proportionally more favorable every time a growth initiative succeeds.
Statistical Reporting
Convert.com uses frequentist significance testing with configurable confidence thresholds. The platform supports two-tailed tests and provides per-variant conversion rate reporting with statistical significance indicators. The reporting UI is functional and clear for teams with a basic statistics background.
Segmently also uses frequentist significance testing with chi-squared analysis, confidence interval reporting, and a plain-English summary of what the current data indicates. Results screens show per-variant visitor counts, conversion counts, conversion rates, confidence levels, and an explicit statement of whether the experiment has reached statistical significance. For growth teams without a dedicated statistician, the combination of quantitative data and interpreted conclusions reduces the gap between data collection and decision-making.
Verdict
Convert.com is a well-built platform with a genuine and differentiated position in the A/B testing market. For teams with hard data residency requirements, cookieless experimentation needs, or regulatory environments where compliance drives vendor selection, Convert deserves a serious evaluation. Its privacy infrastructure is not marketing; it reflects real technical decisions made to serve those requirements.
For the broader set of growth teams evaluating A/B testing tools without those specific compliance requirements, the picture looks different. Convert's MTU pricing model means the platform gets more expensive every time you succeed at growing traffic. Its SPA support requires developer involvement to configure correctly. Its free trial expires after 15 days. These are not dealbreakers in isolation, but together they represent a set of constraints that a simpler, flat-rate platform can sidestep entirely.
Segmently was designed specifically for the team that wants to run more experiments at a predictable cost, on a modern web stack, without a developer ticket for every test. The visual editor works on React and Next.js without configuration. The anti-flicker is automatic. The pricing is flat. The free tier is permanent. The path from signup to first running experiment is measured in hours.
The best A/B testing program is not the one backed by the platform with the most compliance certifications. It is the one where experiments run consistently, results are interpreted correctly, and winners ship regularly. Every experiment you run this month compounds into a competitive advantage that teams without a testing culture will not see coming. Choose the platform that removes the most friction between your team and the next running test.
“Experimentation is a compounding activity. The team that runs 50 experiments this year learns ten times more than the team that runs five. The platform that makes the 51st experiment as easy as the first is the platform that wins.”
Segmently
Start with the free tier. Run your first experiment today. It takes under two hours, costs nothing, and the first data point you generate is the beginning of a curve that changes how your team makes product and marketing decisions.