Marketing automation implementation: steps, decisions, and risks

In short

• Clean the database and define consent protocols.
• Build initial segments based on pipeline stages.
• Create and measure two to three core nurturing sequences.
• Link campaigns to opportunities for revenue attribution.

Implementation steps, in order

Every step concludes with a formal decision made by a project owner within your company, rather than the software provider.

• **Database sanitisation and consent mapping**: Ensure GDPR compliance and data hygiene.
• **Pipeline-based segmentation**: Categorise contacts by their position in the buying journey.
• **Nurturing sequence deployment**: Build and test automated workflows for lead engagement.
• **Revenue attribution setup**: Connect marketing activities to closed deals in the CRM.

Decisions required before configuration

These decisions dictate the project timeline. If delayed, they become significant bottlenecks by the third week of implementation.

• **Contact volume**: Define the total scale of the database to be communicated with.
• **Sequence complexity**: Determine the number of automated workflows for the first phase.
• **Lead source integration**: Identify all external sources (web forms, events) providing lead data.

What to verify after go-live

30 days after launch, compare your performance metrics against your previous baseline:

• Sequence conversion rates
• Reactivated stale leads
• Unsubscribe rates per campaign
• Revenue attributed to marketing campaigns

How it connects to your ERP

Marketing automation operates natively on CRM data. Your ERP (such as SAP Business One, Microsoft Dynamics 365, or Sage) remains uninvolved, except for syncing historical invoicing data used for advanced customer segmentation.

Frequently asked questions