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Review Automation

Review requests go out by SMS and email, timed to real customer interactions rather than a generic monthly blast, and get aggregated across Google and other relevant platforms. Negative feedback is intercepted before it goes public, and AI-suggested responses keep replies timely.

Chatbot and CRM automation interfaces on phone and laptop

What's included

  • 01Automated SMS/email review requests timed to real customer interactions
  • 02Multi-platform review aggregation (Google and other relevant sites)
  • 03Negative feedback intercepted before it goes public
  • 04AI-suggested responses and reporting on review volume and sentiment

A considered engagement

How the work moves forward

No two organisations start from the same place. The process keeps decisions visible and makes room for the evidence gathered along the way.

01

Understand

We begin with your goals, audience, current systems and the constraints that will shape a useful solution.

02

Plan

The work is prioritised into a clear scope, with responsibilities, milestones and measurement agreed before implementation.

03

Implement

Approved work is delivered in controlled stages, checked as it progresses and documented for the people who will use it.

04

Improve

Performance and feedback guide the next changes, so the service can evolve instead of becoming a one-off exercise.

A complete service guide

Planning Review Automation around the work that matters

These sections explain the intended outcome, assessment, delivery controls and measurement in enough detail to support an informed first conversation.

Purpose and commercial context

Useful Review Automation work begins with the business decision it needs to support. Discovery connects the service to the audience, offer, customer journey and operating capacity instead of treating platform activity as an outcome. The engagement is framed around a practical improvement, with unsupported promises and vanity measures removed from the scope.

Starting-point assessment

The initial review covers customer eligibility, consent, timing, channel rules, escalation, response ownership and platform policies. Existing evidence is separated from assumptions, material gaps are recorded, and dependencies are prioritised by likely impact and effort. Work that cannot yet be completed responsibly because access, data, content, legal review or internal ownership is missing is made visible before implementation begins.

Strategy and implementation

An appropriate programme can include request journeys, templates, system triggers, routing, negative-feedback handling, monitoring and staff guidance. Foundational risks are addressed before scale, important assumptions are tested early and approved changes are introduced in reviewable stages. Each stage has an owner, acceptance criteria and a visible decision point, making progress easier to assess and reducing the cost of changing direction.

Scope and quality control

The proposal converts the recommendation into named deliverables such as Automated SMS/email review requests timed to real customer interactions, Multi-platform review aggregation (Google and other relevant sites), Negative feedback intercepted before it goes public, AI-suggested responses and reporting on review volume and sentiment. It also records exclusions, client inputs, access arrangements, review windows and change control. Quality assurance checks the delivered work against the approved scope and the real user journey. Significant decisions and exceptions remain traceable rather than disappearing into informal messages.

Measurement that supports decisions

Reporting can consider request delivery, response rate, verified review volume, response time, opt-outs and compliance. Results are compared with an agreed baseline and interpreted in context; one platform number is not presented as proof of business value. Reporting explains what changed, what the available evidence suggests, which limitations remain and what action is recommended next. Incomplete tracking is corrected or disclosed before confident conclusions are made.

Ownership and ongoing improvement

Review Automation is most valuable when the organisation can operate and improve it after launch. Documentation records important settings, dependencies, approvals and limitations. Training is matched to day-to-day owners, monitoring surfaces failures, and future work is prioritised from observed behaviour and business feedback rather than an automatic recurring checklist.

Before you commit

Practical answers

Clear scope and realistic expectations make for better work. These are the questions worth resolving early.

What is included in Review Automation?

The recommended scope is based on your starting point and goals. It can include Automated SMS/email review requests timed to real customer interactions, Multi-platform review aggregation (Google and other relevant sites), Negative feedback intercepted before it goes public, AI-suggested responses and reporting on review volume and sentiment. A proposal confirms the exact deliverables before work begins.

Is Review Automation suitable for my business?

That depends on the problem you need to solve, your current setup and the outcome you want. Elite Marketing reviews those factors first and recommends this service only when it is a practical fit.

How long does Review Automation take?

Timing varies with scope, access to existing systems or content, required integrations and approval speed. You receive realistic milestones after discovery rather than an unsupported fixed promise.

How is Review Automation performance measured?

Useful measures are agreed against your baseline and business objective. Reporting focuses on meaningful actions and operating improvements, not activity or impressions without context.

What does Elite Marketing need from us?

Useful discovery normally requires an informed owner, access to relevant non-sensitive systems or reports, existing brand and content material, prompt factual review and clarity about constraints. Credentials are handled through a secure channel rather than email, content documents or ordinary forms.

Can Review Automation work with our existing systems and suppliers?

Often it can. Existing responsibilities, licences, platforms, contracts and technical dependencies are reviewed before scope is confirmed. The recommendation identifies what can be retained, what needs cooperation or integration and where replacement would create unnecessary cost or risk.

YOUR COMPETITORSAREN'T WAITING.NEITHER SHOULD YOU.