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Optimizely feature flags: Feature Experimentation pricing, Rollouts, and the alternatives

Optimizely sells feature flags inside an experimentation platform, under a product name that changed this year, at a price it does not publish. This page documents what you actually get, what the free Rollouts tier looks like today, and what six flag platforms charge, with every claim checked against Optimizely's own pages on 24 July 2026.

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The short answer

Optimizely does have real feature flags, but they arrive attached to an experimentation platform and a sales process. The product is documented as Optimizely Feature Experimentation, while the marketing site now redirects that name to Optimizely Feature Management. Flags run through twelve SDKs against a JSON datafile held in memory, so evaluation is local and fast. The friction is commercial, not technical: optimizely.com/pricing 301-redirects to a plans page with no price on it, and the free Rollouts tier the developer docs still describe now has no working signup URL. If you need statistical experimentation with guardrail metrics, Optimizely is a serious product worth the sales call. If you need flags, targeting and rollouts, you are buying an experimentation license to run a feature toggle system.

Last updated July 2026 · URLs, redirects and competitor prices verified 24 July 2026

01 · Which product you are actually buying

Three names, two products, one common purchasing mistake

Optimizely sells more than one thing that a buyer would reasonably call feature flags, and the names moved this year. Getting this wrong is expensive, because the products are licensed separately and a quote for one does not cover the other.

The engineering product

Feature Experimentation

Server-side and client-side SDKs that gate code paths inside your application. This is the one with flags, targeting, rollouts and server-side A/B tests. It is the name used throughout developer documentation, support articles and the 2026 release notes.

The new marketing name

Feature Management

On 24 July 2026, optimizely.com/products/feature-experimentation/ returns a 301 to /products/feature-management. Same product, newer positioning. The docs have not followed, so you will see both names in the same buying cycle.

The marketing product

Web Experimentation

A client-side snippet for changing copy, layout and images on rendered pages without a deploy. Useful, and completely separate. It does not gate your backend code, and it is not what an engineering team means by feature flags.

The practical rule: if the conversation is about a snippet and a visual editor, you are being sold Web Experimentation. If it is about SDKs, a datafile and a Decide call, you are being sold Feature Experimentation. Ask which one the quote covers, in writing, before it reaches procurement.

02 · What the free tier looks like today

The docs describe Optimizely Rollouts. The URLs do not.

Optimizely Rollouts was the free self-serve entry point for Feature Experimentation, and most comparison articles still recommend it as the cheap way to try Optimizely. The developer documentation still says so too, word for word: "Optimizely Rollouts is the free plan for Feature Experimentation, designed for startups and teams looking to get started. It includes free feature flags and the ability to run one A/B test."

That sentence links to a signup page. We requested every public entry point on 24 July 2026. Here is what came back. You can reproduce all of it with curl in under a minute.

Optimizely URL	Status	What it means
optimizely.com/enhancements/free-feature-flagging	404	The free signup link printed inside the current developer docs
rollouts.optimizely.com	No DNS record	The old Rollouts hostname does not resolve at all
optimizely.com/rollouts and /rollouts-signup	404	Both former landing pages for the free plan
optimizely.com/products/feature-flagging	404	The former standalone flag product page
app.optimizely.com/signup	404	Redirects to www.optimizely.com/signup, which is also 404
optimizely.com/pricing	301	Lands on /plans, which publishes no dollar figure
optimizely.com/products/feature-experimentation/	301	Lands on /products/feature-management, the current name
optimizely.com/get-started	200	A sales form. Today this is the working way in.

Read this carefully, because the honest version is narrower than the headline. Optimizely has not announced that Rollouts is discontinued, and existing accounts may well still work. What we can show is that on 24 July 2026 there was no working public path to sign up for it, including from the link in Optimizely's own documentation. If a free Optimizely tier is load-bearing in your plan, confirm it with Optimizely in writing rather than trusting a comparison table, including this one.

03 · The technology

A datafile, twelve SDKs and a Decide call

Optimizely's flag architecture is conventional in the good sense. Your project configuration is compiled into a JSON datafile. The SDK fetches it, keeps it in memory, and evaluates rules locally. Optimizely's own phrasing is that "in-memory bucketing means no blocking network requests", so a flag check costs you a function call rather than a round trip. Webhooks push datafile changes when configuration moves.

Official SDKs cover Android, C#, Flutter, Go, Java, JavaScript, PHP, Python, React, React Native, Ruby and Swift. Flags are evaluated with a Decide method against a user context, and conversions go back through Track Event. There is a documented REST API for managing flags and configuration on top of that.

Optimizely publishes its own reliability and latency claims on the Feature Management page, including sub-millisecond evaluation and a 99.9% uptime SLA. Those are vendor claims and we have not measured them. Treat them the way you would treat any number on a vendor's own page: as something to put in the contract, not as something to quote.

typescript · vendor call vs portable call live

// Optimizely: the Decide method returns a decision object, and the
// datafile the SDK holds in memory is what makes it a local call.
const decision = optimizelyClient
  .createUserContext(user.id, { plan: user.plan })
  .decide('checkout_v2');

if (decision.enabled) { ... }

// The portable shape. One file owns the vendor, everything else
// asks a question that has nothing to do with who answers it.
export async function isEnabled(flag: string, user: User): Promise<boolean> {
  return toggled.isEnabled(flag, {
    userId: user.id,
    attributes: { plan: user.plan, country: user.country },
  });
}

The decision object Optimizely returns carries the variation key and variables alongside the boolean, which is genuinely useful when a flag drives configuration rather than an on/off switch. It is also the part that binds you to the vendor. Wrapping it costs an afternoon and turns a future migration into one file, as we walk through in feature flag migration.

04 · Pricing

Optimizely Feature Experimentation pricing is not published

There is no price card. optimizely.com/pricing redirects to optimizely.com/plans, and that page's position is explicit: "Every Optimizely plan is individually packaged. Tell us a bit about your digital needs, and we'll create a plan together." No tiers, no unit rates, no calculator.

That is a legitimate way to sell enterprise software, and it is not a scandal. It does have consequences you should price in before you start:

Consequence 1

You cannot self-serve a trial

With the free signup paths returning 404, evaluating Optimizely starts with a form and a calendar invite. Budget two to six weeks between "we should look at this" and "we have it running in staging", and start earlier than feels necessary.

Consequence 2

You cannot forecast next year

Without a public unit rate, you cannot model what a 3x traffic year costs you. That number arrives at renewal, when your switching cost is highest and your leverage is lowest. Ask for the renewal formula, not just year one.

Consequence 3

Every blog price is wrong

Search results are full of confident Optimizely price figures. They are recycled from old contracts and each other. Nobody publishing them can verify them, because the source page does not exist.

Consequence 4

Flags get experimentation pricing

The flags are bundled into an experimentation platform. If your actual requirement is targeting and gradual rollout, you are paying for a statistics engine, a visual editor and a personalization layer you will not open.

Optimizely is not alone here. Harness FME, the product that absorbed Split, publishes no figure either, which we documented on our Split.io alternative page. The category is splitting into vendors who print a number and vendors who ask you to call. That single difference predicts how the next three years of your invoices behave, and it is the theme of our breakdown of feature flag pricing models.

05 · The honest version

Three cases where Optimizely is the correct answer

We sell a competing product, so read this section more skeptically than the rest. There are real situations where a cheaper flag tool is the wrong purchase and Optimizely is worth the sales cycle.

Case 1

Experimentation is the point

Optimizely has spent well over a decade on the statistics: metric definitions, sequential testing, guardrail metrics, stats engines built to be defended in a review. If your company runs experiments as a discipline and someone senior challenges the results, that maturity is the product. A flag tool with a percentage slider is not a substitute for it.

Case 2

Marketing and engineering both need it

Very few vendors credibly serve a marketer editing a landing page and an engineer gating a payment path. Optimizely sells both, under one commercial relationship. If you would otherwise buy two products and reconcile two sets of numbers, one vendor can genuinely be cheaper even at a higher sticker price.

Case 3

You are already an Optimizely customer

If the CMS or the wider digital experience platform is already in the building, adding Feature Experimentation lands on a contract you were renewing anyway. That is one procurement cycle instead of two, with a security review you have already passed. Switching costs are real and they run in your favor here.

The case against is narrow and specific. If your team wants flags to ship safely, decouple deploy from release and kill a bad change in seconds, an experimentation platform is a large amount of surface area, sales process and cost attached to a small requirement. That is the split we cover in feature flags vs A/B testing, and it is worth being honest with yourself about which one you are buying.

06 · Alternatives

Optimizely alternatives that publish a price

Every figure below was read off the vendor's own pricing page on 24 July 2026. This category changes prices often, so treat any table older than a quarter as fiction, including this one after October.

Platform	Published entry price	What it meters	Experimentation depth
Optimizely Feature Experimentation	None published, sales form only	Not disclosed publicly	Deep. A mature statistics engine is the reason to buy it.
Harness FME (was Split)	None published, Enterprise only	Monthly Tracked Keys and named seats	Deep. The closest like-for-like on experimentation.
Statsig	$150/mo Pro with 5M events, then $0.05 per 1k	Metered events	Deep, and the only serious engine with a public price.
LaunchDarkly	$10 per service connection, plus $8.33 per 1k client MAU	Service connections and client-side MAU	Moderate. Strongest on targeting rules, not statistics.
ConfigCat	$0 free, $110 Pro, $325 Smart, $900 Enterprise	Flags, environments and products. Seats unlimited.	Light. A flag tool that does not pretend otherwise.
Flagsmith	$0 free, $40 Start-Up, $250 Scale-Up	API requests, plus capped members per tier	Light, with self-hosting available.
Toggled	Flat, unlimited seats and flags	Nothing per-user, nothing per-request	Split testing on the flags you already ship with.

Two things this table cannot show. Unleash is missing because it deprecated its open source edition, with long-term support from 10 December 2025 and end of life on 31 December 2026, covered in the Unleash open source end of life. And LaunchDarkly restructured its tiers in 2026, so older comparisons quoting a per-seat price describe a plan that no longer exists. Current figures are on our LaunchDarkly pricing page, and the whole field is ranked in best feature flag tools.

07 · How to evaluate

Five questions to settle before the Optimizely demo

Going into a no-published-price sales cycle without these answered is how teams end up with a contract sized for a product they will not use. Write the answers down first.

Question 1

How many experiments will you really run?

Count the ones you ran last year, not the ones you intend to. Most teams that buy an experimentation platform run fewer than one properly powered test a month, and a platform priced for a testing culture you do not have yet is the most common overspend in this category.

Question 2

Which product does the quote cover?

Feature Experimentation and Web Experimentation are separate licenses. Confirm in writing which one is priced, and whether adding the other later is a new contract or an amendment. This is the single most useful sentence you can get in email.

Question 3

What is the renewal formula?

Year one is negotiable and year three is where the money is. Ask what drives the increase: traffic, events, seats, or a flat uplift. If nobody will put the formula in writing, price your migration cost into the decision now.

Question 4

Do you need statistics or just a slider?

A gradual rollout to 5% of users is not an experiment, and you do not need a stats engine to do it. Be honest about whether you are buying decision-making rigour or release safety. Our guide to running a gradual rollout covers what the cheaper answer actually looks like.

Question 5

Where does the SDK sit in your latency budget?

Optimizely evaluates in memory against a datafile, which is the right architecture. Confirm the datafile refresh interval and what the SDK does on a cold start or a network partition, because that is where flag systems actually fail rather than in steady state.

Question 6

Who owns the flag after the test ends?

Experimentation platforms are excellent at creating flags and indifferent about removing them. Agree an expiry convention before you have three hundred of them. The rules that hold up are in feature flag best practices.

If the answers point at release safety rather than statistical rigour, the shortlist gets much shorter and much cheaper. The other common displacement case is documented on our LaunchDarkly alternative page, and teams that want to keep the next switch cheap should read our take on whether OpenFeature is worth adopting.

08 · FAQ

Questions people actually search

Does Optimizely have feature flags?

Yes. Optimizely sells feature flags inside the product its documentation calls Optimizely Feature Experimentation and its marketing site now calls Optimizely Feature Management. It covers flags, targeted rollouts, kill switches and server-side experiments, delivered through a JSON datafile that the SDKs hold in memory. It is an experimentation platform that includes flags, rather than a flag tool that added tests.

Is Optimizely feature flagging free?

The documentation still says "Optimizely Rollouts is the free plan for Feature Experimentation" with free flags and one A/B test. The entry points do not match that text. On 24 July 2026 the signup link inside those same docs, optimizely.com/enhancements/free-feature-flagging, returned 404, optimizely.com/rollouts and /rollouts-signup returned 404, and rollouts.optimizely.com had no DNS record at all. Verify it yourself before you plan around a free tier.

How much does Optimizely Feature Experimentation cost?

No number is published. optimizely.com/pricing now 301-redirects to optimizely.com/plans, which states that "Every Optimizely plan is individually packaged. Tell us a bit about your digital needs, and we'll create a plan together." There is no price card, no tier list and no calculator. Every figure you find in a blog post is somebody else's negotiated contract, not a list price.

What is the difference between Optimizely Web Experimentation and Feature Experimentation?

Web Experimentation runs client-side through a snippet on your pages and is aimed at marketers changing copy, layout and images without a deploy. Feature Experimentation runs inside your application through SDKs and is aimed at engineers gating code paths. They are separately licensed products. Buying one does not give you the other, which is the most common surprise in an Optimizely quote.

What happened to Optimizely Rollouts?

Rollouts was the free self-serve tier for Feature Experimentation. It is still described in the developer documentation, but its public front door is gone: as of 24 July 2026 the rollouts.optimizely.com hostname does not resolve, /rollouts, /rollouts-signup and /products/feature-flagging all return 404, and app.optimizely.com/signup redirects to a 404. The only working route into Optimizely today is the get-started sales form.

Does Optimizely have a feature flag API?

Yes. Optimizely publishes a REST API reference for Feature Experimentation covering flag and configuration management, plus webhooks that push datafile changes. The SDKs themselves expose a Decide method for evaluating a flag and a Track Event method for sending conversion events, both documented as backward compatible with the older SDK methods.

What SDKs does Optimizely Feature Experimentation support?

Twelve are listed in the official documentation: Android, C#, Flutter, Go, Java, JavaScript, PHP, Python, React, React Native, Ruby and Swift. Evaluation is local. Optimizely describes it as "in-memory bucketing means no blocking network requests", so a flag check does not add a round trip to your request path.

What is the best Optimizely alternative for feature flags?

It depends on which half you were buying. If you needed the statistics engine, Statsig and GrowthBook are the closest equivalents and both publish prices. If you only needed flags, targeting and rollouts, ConfigCat, Flagsmith and Toggled charge a flat, readable rate with far less surface area. Teams that need self-hosting for data residency should look at Flagsmith or GrowthBook.

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