Fullstory Alternative for SaaS Teams: Fullstory vs Monolytics

Fullstory has AI as well as session replay. Its current platform combines replay and product analytics with StoryAI capabilities on eligible paid plans. Monolytics takes a narrower public path: ask a product question, surface relevant sessions, and verify the replay evidence before acting.

That makes the choice less about whether either product has replay or AI and more about operating fit. Choose Fullstory when you need its broader documented analytics platform, enterprise controls, or mobile add-on. Evaluate Monolytics when the main job is a focused web SaaS investigation and you want a direct path from a natural-language question to sessions your team can inspect.

Checked 2026-07-11. Product packaging can change. Verify current limits and commercial terms on the vendors’ official plan pages before buying.

Quick answer: which product fits which job?

This table is a shortlist, not a feature-parity claim. Test each product with one real journey and confirm privacy, capture scope, retention, support, and contract terms.

What Fullstory offers now

Fullstory’s official plans page lists Business, Advanced, and Enterprise plans for its Analytics product. The comparison includes Session Replay, heatmaps, funnels, product analytics, developer tools, privacy and security controls, and other platform capabilities. Fullstory asks buyers to request a demo for a complete feature and pricing review.

Fullstory also has a permanent no-cost starting point. The official FullstoryFree plan documentation currently lists:

• 30,000 sessions per month;
• 10 user seats;
• 5,000 server-side events per month;
• one year of session replay retention;
• one year of product analytics retention.

The same documentation says FullstoryFree does not include StoryAI, dashboards, configurable form privacy, mobile apps, and several other advanced capabilities. That is a limitation of the free plan, not evidence that Fullstory as a product lacks AI.

Fullstory’s current replay and AI path

Fullstory’s Session Replay documentation describes playlists, filtering, playback, notes, sharing, Page Insights, and StoryAI entry points. Its current AI path includes more than a generic summary:

• StoryAI session summaries can condense recent or individual sessions on eligible plans;
• Ask StoryAI in Session Replay can identify key moments and behavioral signals and support follow-up questions;
• the broader Ask StoryAI overview documents analysis in dashboards, segments, session replay, and a dedicated home.

Ask StoryAI requires StoryAI Premium, and the available data and response structure depend on the context. Fullstory’s own guidance also describes question boundaries. Buyers should confirm the specific StoryAI entitlement they are evaluating instead of assuming every AI capability is included in every plan.

What the Monolytics workflow is designed to do

The current Monolytics Assistant product path is evidence-first. A team asks about a page, event, journey, segment, or outcome. The Assistant narrows a broad replay archive into relevant sessions and observable pattern candidates. The team then opens representative recordings before deciding whether to fix, instrument, survey, or keep monitoring.

Examples of questions that fit that workflow include:

• Which sessions show abandonment after a specific checkout action?
• How do stalled onboarding journeys differ from completed ones?
• Which sessions contain repeated dead clicks or validation loops?
• What visible behavior happens before high-intent users leave pricing or signup?

This positioning has an explicit boundary: replay evidence can show visible behavior and repeated patterns, but it cannot prove a user’s exact motive, establish causality, or guarantee that a proposed fix will improve conversion. Monolytics is therefore a fit to evaluate when focused replay-backed diagnosis is the primary job, not when the requirement is to replace every capability in a broad digital experience platform.

Fullstory vs Monolytics by decision area

Neither product should be selected from this table alone. Vendor terminology is not automatically comparable: session boundaries, captured traffic, replay availability, event allowances, and retention can differ.

Who should choose Fullstory?

Fullstory belongs on the shortlist when several of these are true:

• the team needs a broader product and digital experience analytics surface;
• dashboards, funnels, heatmaps, developer tools, or data ecosystem features are part of the weekly workflow;
• mobile analytics or enterprise security and access requirements are in scope;
• the organization wants StoryAI across multiple Fullstory analysis contexts;
• procurement and enablement can support a sales-led plan evaluation.

FullstoryFree may also be a practical starting point for a small team whose immediate requirement is core replay and basic analytics within the published allowance. It should not be evaluated as though it includes the whole paid platform.

Who should evaluate Monolytics?

Monolytics belongs on the shortlist when the primary job is narrower:

• investigate signup, pricing, onboarding, checkout, or activation friction on a web product;
• ask a concrete product question and reduce the replay set before watching sessions;
• keep the AI-assisted output connected to recordings a product manager or engineer can inspect;
• combine replay evidence with events or a targeted survey when behavior alone cannot explain motive;
• start from the current public Monolytics pricing rather than a sales-led enterprise package review.

This is not a claim that Monolytics is universally easier, faster, cheaper, or stronger. Those outcomes depend on the team’s traffic, instrumentation, workflow, and chosen plan. The useful test is whether it helps your team answer one recurring product question with evidence it can verify.

Setup and privacy questions to resolve before switching

Both products require implementation and privacy work. A short installation is not the same as a production-ready recording policy.

Fullstory documents a JavaScript snippet installed in the page head, plus tag-manager and package-based options in its installation guide. Its Private by Default documentation explains exclude, mask, and unmask rules and recommends reviewing the data-capture configuration before broad collection.

For Monolytics, review the event-tracking setup guide for direct-code and Google Tag Manager event paths. Before collecting or sharing replay evidence, define recording scope and review the Monolytics Privacy Policy and GDPR information. Your organization remains responsible for the disclosures, lawful basis, consent flow, and internal access rules required for its deployment.

For either product, document these decisions before enabling production capture:

1. Which domains, routes, audiences, and environments should be recorded?
2. Which fields, content, URLs, or events may contain sensitive data?
3. How will consent and data-subject requests be handled?
4. Who can view, share, export, or retain replay evidence?
5. What successful and failed journeys will be used to validate the setup?

A fair evaluation plan

Run the same small evaluation in both tools instead of comparing marketing pages.

1. Choose one high-intent journey, such as signup or onboarding.
2. Define a successful outcome and one failed outcome using an event or route.
3. Confirm capture scope and privacy behavior before inviting the wider team.
4. Find several failed sessions and a comparison set of successful sessions.
5. Use the available AI workflow, then verify its output against the recordings.
6. Record time-to-evidence, false leads, missing context, and the next action the team could confidently take.
7. Compare current plan terms using the same monthly traffic and retention requirement.

That test reveals workflow fit without inventing a universal benchmark.

Final decision

Choose Fullstory when its wider analytics platform, documented enterprise capabilities, mobile path, or StoryAI contexts match the work your organization needs to support. Evaluate Monolytics when the recurring job is a focused web SaaS investigation and the team wants natural-language session search connected to replay evidence it can inspect.

If that focused path matches your use case, review how Monolytics turns product questions into replay-backed findings and compare the current Monolytics plans. For the review method behind the product path, use the AI session replay analysis workflow and session replay evidence review template.

Official sources checked 2026-07-11

• Fullstory plans and packages
• FullstoryFree plan
• Fullstory: Getting Started with Session Replay
• Fullstory: Ask StoryAI overview
• Fullstory script installation
• Fullstory Private by Default
• Monolytics Assistant
• Monolytics pricing