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FullStory shows the digital experience. Beseam connects it to the rest of the shopping journey.

FullStory combines session replay, heatmaps, and frustration signals with searchable, privacy-conscious event data to explain the digital experience. Beseam is narrower in experience analytics and broader in commerce scope: it connects experience data with catalog, AI discovery, campaigns, reliability, actions, and booked revenue.

Experience analytics · reviewed July 25, 2026

01

Choose FullStory when

Choose FullStory for deep session replay, frustration signals, and searchable experience data across web and mobile.

02

Choose Beseam when

Choose Beseam when the decision must cross experience, catalog, discovery, advertising, operations, and revenue, and end in an owned, verified action.

03

Use both when

Use FullStory for deep experience capture and search. Use Beseam to connect those findings to the rest of the shopping journey, decide what to change, and check the result.

What it does not replace

What Beseam does not replace

Beseam does not replace FullStory's session replay library, frustration signal detection, or searchable experience data across web and mobile.

Choose the tool that fits the job.

Choose FullStory when

  • Session replay, frustration signals, and searchable experience data are the core requirement.
  • A dedicated experience or support team needs to find and watch specific sessions quickly.
  • Web and mobile experience capture need to live in one searchable index.

Choose Beseam when

  • The problem crosses experience, catalog, AI discovery, campaigns, reliability, and orders.
  • The team needs to know which problem to fix next, not just a larger session index to search.
  • The issue must move into owner, approval, application, and checking the result.

Compare how each tool works.

Primary job

FullStory

Capture and search session replay, heatmaps, and frustration signals across web and mobile.

Beseam

Connect store and sales data across systems and decide which issue should move into action.

Experience depth

FullStory

Deep session replay, search, and frustration-signal detection.

Beseam

Behavior evidence sits alongside discovery, catalog, campaigns, reliability, conversion, orders, and revenue.

Commerce breadth

FullStory

Strong digital experience capture and search context.

Beseam

Storefront, catalog, AI discovery, behavior, campaigns, incidents, actions, and booked revenue.

How it works

FullStory

Teams search sessions and route findings through their existing processes.

Beseam

Finding, business impact, owner, approval, application, and the result share one trace.

Best relationship

FullStory

Specialist session replay and experience capture platform.

Beseam

Connects experience findings with the rest of the store data, an approved change, and the measured result.

What happens after the signal appears?

01

Find an experience problem

Session search or a frustration signal reveals a digital experience issue.

The issue is connected with product, campaign, discovery, reliability, and order evidence.

02

Quantify consequence

Teams review affected sessions and estimate scope manually.

Booked, observed, attributed, and modeled values retain separate methods and confidence.

03

Decide what matters

Experience or support teams determine which issue enters the backlog.

The experience finding is compared with the other commerce problems and evidence competing for action.

04

Verify the change

Sessions are revisited after release to confirm the fix.

The original problem, change status, and before-and-after result stay together.

Real Beseam revenue overview. Experience evidence is evaluated alongside the rest of the store rather than in isolation.

Real Beseam revenue overview for a dancewear store

FAQ

Before you change the stack.

Is Beseam a FullStory replacement?

Not for teams that need deep session replay, search, and frustration-signal detection. Beseam serves a different job: connecting experience data with the rest of the commerce problem, the decision, the approved change, and the result afterward.

When would a team use both?

Use FullStory to find and watch specific sessions. Use Beseam when those findings need to be connected with catalog, discovery, campaign, reliability, conversion, order, and revenue evidence before deciding what to do.

How is Beseam broader?

Beseam connects store and sales data beyond the digital experience, including AI discovery, catalog readiness, advertising, actions, impact, and reliability.

Sources reviewed

Official product sources · July 25, 2026

Keep the systems that work. Connect the evidence they leave apart.

In a 20-minute store review, we use one real finding to show how Beseam connects the tools already in place and keeps the loop moving from evidence to measured change.