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A MaxICo Labs product

Reputon

Reputation and review management

Product in detail

How this product works.

A prototype for gathering review signals, review-request workflows and a summary dashboard. Sources, refresh cadence and communication rules are defined after platform APIs and policies are checked.

The Reputon prototype shows how available review signals can be brought into one workspace with notifications for the responsible person. It does not imply automatic support for every platform.

Review-request workflows are designed around customer consent, channel policies and an appropriate moment after the interaction. They do not guarantee a higher rating, more reviews or greater conversion.

A summary dashboard can include available rating trends, score distribution, conversation themes and response speed. Actual metrics depend on the quality and completeness of connected data.

Cover of the Reputon interface prototype

Interface prototype

A review workflow using demo data.

The materials show a reputation dashboard, response inbox, and review-collection widget. Ratings, sources, review counts, and drafts are not real business outcomes.

Inspect the Reputon archive

Key parts

What's inside this product.

A prototype for gathering review signals, review-request workflows and a summary dashboard. Sources, refresh cadence and communication rules are defined after platform APIs and policies are checked.

ReputonInterface prototype
01

Review sources after API and access checks

The Reputon prototype shows how available review signals can be brought into one workspace with notifications for the responsible person. It does not imply automatic support for every platform.

02

Alerts with an agreed cadence and owners

Review-request workflows are designed around customer consent, channel policies and an appropriate moment after the interaction. They do not guarantee a higher rating, more reviews or greater conversion.

03

Review requests aligned with consent and channel rules

A summary dashboard can include available rating trends, score distribution, conversation themes and response speed. Actual metrics depend on the quality and completeness of connected data.

Before implementation

We first map the product to your workflow.

The introductory call gathers context. The available foundation, integrations, and ballpark scope are confirmed only after a separate review of requirements and dependencies.