technology infrastructure
CRM Implementation
HubSpot and CRM implementations designed around your sales process, adopted by your team, and connected to marketing and reporting from day one.
01 / Friction
The problem this solves
A CRM that was bought but never truly implemented, so the team works around it and the data cannot be trusted.
Typical warning signs
- Deals are tracked in spreadsheets alongside, or instead of, the CRM.
- Lifecycle stages exist but nobody agrees what they mean.
- Duplicate and decayed records make every list unreliable.
- Leads from the website arrive in an inbox, not a pipeline.
- Reports are built per meeting, from exports, by hand.
02 / Change
Outcomes it is designed to create
- A data architecture with agreed definitions for every stage and property.
- Automated lead capture, routing and scoring feeding the pipeline.
- Marketing, sales and reporting working from the same records.
- A team that adopts the system because it visibly saves them time.
The CRM is a process, not a purchase
Most failed CRM projects were configured correctly and adopted never. The system asked salespeople for data entry without giving anything back, so they returned to their spreadsheets, and the CRM became an expensive contact list.
I implement CRMs the other way round: start from the sales process, design the minimum structure that supports it, automate everything mechanical, and give every user a reason to open the tool. In one logistics implementation this meant a HubSpot instance managing over 42,000 contacts with automated capture, routing and nurture, run by a small team.
What the engagement covers
Selection and architecture. The right platform, then a data model that reflects how you actually sell.
- Structured selection against your process, integrations and budget (if undecided).
- Objects, properties, lifecycle stages and pipelines with written definitions.
- Decisions documented, so the model is understood, not guessed.
Implementation and migration. Configured and connected, with clean data.
- Historical data migration with deduplication.
- Integrations with website, forms, email, calendars and ad platforms.
- Configuration that matches the architecture, not the defaults.
Automation. The system maintains itself instead of demanding admin time.
- Capture, routing, scoring and task creation.
- Nurture sequences and hygiene routines running unattended.
- Every stage change triggers the next action automatically.
Reporting. Numbers leadership trusts, because the definitions are agreed.
- Pipeline, velocity and source reporting.
- Built on documented, agreed definitions.
- Refreshed automatically, not rebuilt each month.
Adoption. The part that makes it stick.
- Onboarding by role, not one generic session.
- Playbooks for the recurring motions.
- A feedback loop in the first weeks, then governance rules that keep the instance clean after handover.
Deliverables
What you receive, concretely.
- CRM selection support and licensing guidance
- Data architecture and property design
- Lifecycle stages and pipeline design
- Lead scoring and routing
- Automation and sequence setup
- Integrations with website, forms, email and ad platforms
- Data migration and deduplication
- Dashboards and reporting
- Governance rules and documentation
- Team onboarding and adoption support
How the engagement runs
Discover
Sales process mapping, data audit and requirements before any configuration.
Architect
Properties, lifecycle stages, pipelines and integration design agreed on paper first.
Implement
Configuration, migration, automation and integrations, tested with real scenarios.
Adopt
Training, playbooks and a feedback loop during the first weeks of live use.
Technology used
- HubSpot
- Salesforce
- Brevo
- Zoho
- n8n
Relevant work
CRM and websiteZ Nation Transport LLC / Logistics
HubSpot CRM implementation for a logistics company
A ground-up HubSpot implementation and Drupal website for a US logistics company, automating lead management across a database that grew past 42,000 contacts.
contacts managed and automated in the HubSpot implementation
- HubSpot
- Drupal
- Zapier
- Google Ads
Relevant articles
automation
Account-based marketing with a prospecting agent: personalising at the contact level
How to combine account-based marketing with an automated prospecting agent, so outreach is grouped by account, sequenced by role, and personalised from one contact to the next without ever sounding templated.
Read insightcrm
Automating HubSpot with Python: deduplication and data cleaning
A practical guide to keeping a HubSpot CRM clean with the v3 API and Python, covering batch reads, duplicate detection, safe merges, property normalisation, a data-quality score and a repeatable maintenance job.
Read insightautomation
A governed email-automation pipeline: from spreadsheet to sending
How to build an email-sending pipeline that reads from a controlled data source, prevents duplicate sends, tracks delivery, and stays governed enough to trust at scale, with Python patterns throughout.
Read insightFrequently asked questions
Which CRM do you recommend?
The one your team will use at a price that fits. HubSpot is my most frequent implementation because its marketing integration is strong and adoption is easier, but Salesforce, Brevo and Zoho all have situations where they win. Selection is part of the engagement when it is genuinely open.
Can you rescue an existing messy CRM?
Yes, and it is common. Rescue starts with a data audit and deduplication, then a simplified property and stage model, then automation that removes the manual work that caused the workarounds in the first place. I have consolidated and automated databases of more than 42,000 contacts.
Related services
Most engagements combine two or three of these. The project brief helps you choose.
Automation and AI
Documented, monitored automation that gives the team hours back and makes processes reliable.
n8n workflows and AI-assisted systems that remove repetitive marketing work, connect your tools and keep humans in control of what ships.
- n8n
- Zapier
- Make
- OpenAI API
Tracking and analytics
Trustworthy measurement from first click to revenue, visible in dashboards the team actually uses.
Conversion tracking, GA4, Tag Manager and dashboards implemented properly, so every marketing decision is made on data you can trust.
- Google Tag Manager
- GA4
- Looker Studio
- Microsoft Clarity
Growth engine
One connected growth system with a single owner, measured end to end from first visit to revenue.
The integrated engagement. Positioning, website, CRM, automation, analytics and demand generation built as one measurable system.
- Astro
- HubSpot
- n8n
- GA4
Next move
Ready to fix crm implementation?
Describe your situation in the project brief and get an honest assessment of what I would build and why.

