WeTech · Hong Kong

CRM implementation and marketing automation in Hong Kong

Connect website enquiries, CRM, email and follow-up workflows, then assess useful AI marketing automation. Confirm data sources, customer consent, human review and qualified-enquiry metrics before testing.

Content updated: · Hong Kong time (GMT+8)

Who is this service for?

Scope and deliverables

How do we evaluate the result?

What can you prepare before a consultation?

Which approach fits your needs?

Which approach fits your needs?
ApproachSuitable situationCheck before deciding
Improve existing configurationCRM or email tools exist but workflows are inconsistentData quality, consent records and follow-up ownership
Connect data and workflowsWebsite enquiries, CRM and follow-up tools are disconnectedField mapping, opt-out synchronisation and duplicate prevention
Add AI assistanceSegmentation, recommendations or draft content are neededEvaluation data, human review, business metrics and stop controls

From discovery to implementation

We first review your workflow, existing systems and constraints, then agree the scope and acceptance criteria. A controlled pilot helps validate the approach before wider rollout. Documentation, training and handover form part of the agreed plan. Deliverables, timing and support are confirmed in the proposal.

What determines cost and timing?

Cost and timing depend on feature scope, integrations, data preparation, access controls, security requirements and ongoing support. Third-party licences, cloud usage and maintenance should be identified separately. An initial consultation helps define the assumptions, deliverables and acceptance criteria before proceeding.

Deliverables to confirm before accepting a quotation

Use this checklist to compare proposals and agree the relevant documents, responsibilities and acceptance criteria.

  • Workflow and ownership — Map enquiries, assignment, drafting and follow-up, with an owner at each step.
  • Data and stop controls — Agree field mapping, consent and opt-out synchronisation, duplicate prevention and how to stop follow-up.
  • Content review and approval — Specify what AI may draft, which facts need checking and how external messages are approved.
  • Conversions and recurring fees — Distinguish clicks, submissions and qualified enquiries, and identify licences, message usage and reporting scope.

Planning example

This illustrative scenario explains planning and evaluation. It is not a completed client case study.

For website enquiries entering CRM, agree data use, ownership and opt-out rules, then test duplicate enquiries and stopping follow-up. If AI drafts replies, a person reviews them before sending. Measure qualified enquiries, completed follow-ups and conversions.

Frequently asked questions

Can AI-generated content be published automatically?
Human review should check product facts, sources, brand voice and sensitive content. Define who reviews and approves external publication.
Do we need a new marketing system first?
Not necessarily. Review current tools, data quality and workflows, then compare configuration, integration and replacement costs for any gaps.
Can AI guarantee higher sales?
No. Results also depend on the product, channel, data and execution. Define business metrics and a test, then use the results to decide on expansion.
What should the quotation cover?
Integration scope across CRM, email, website and other channels. Customer data cleanup and consent and opt-out records. Workflow count, content review, licences and measurement.
What should we prepare for the initial consultation?
Current CRM, email and marketing tools. Data sources, consent arrangements and measurement setup. Target audiences, key conversion actions and review owners.
How do we confirm the deliverables meet our needs?
Measure qualified enquiries and conversions rather than clicks alone. Check opt-outs, duplicate messages, data errors and review effort. Use an appropriate comparison test and document sample sizes and limitations.
Can website enquiries enter our CRM and trigger follow-up?
Check website and CRM interfaces, fields and data-use arrangements first. Define assignment, alerts, deduplication and stop conditions. If AI drafts replies, add source checks and human approval, and test failures and duplicate enquiries.
How do we measure whether marketing automation brings qualified enquiries?
Measure clicks, successful submissions, qualified enquiries and sales separately. Define qualification and attribution before launch, then compare complete periods and record sample sizes and the effects of advertising or other campaigns.
How should we compare CRM total cost?
Use the same roles, workflows and workload to compare licences, setup, migration, integration, training and administration. Trial the required tier, exports and handover rather than comparing per-user fees alone.
Can lead scoring and marketing preferences be automated?
Define validity, routing and manual review first, preserving unknown data. Keep marketing purpose, permissions and suppression consistent across systems, including queued campaigns and legacy imports.

Further reading

Related product cases (Traditional Chinese)

Reference sources

These sources provide technical and evaluation references. Adapt the planning recommendations to your systems, data and agreed scope.

Buying and implementation guides

Define scope, cost, acceptance and handover before deciding the next step. These guides explain planning methods; actual deliverables and quotations are agreed per project.

Start with your business problem

Tell us which tasks take the most time, which systems you use and what you want to improve. We will discuss your needs and the next practical step.

Free initial consultation