Marketing ops ·

Dropsolid automates CRM-to-Mautic data sync and marketing analytics dashboards with n8n

The problem

Dropsolid needed an automated way to integrate data across platforms — syncing CRM data into their marketing automation tool and surfacing campaign analytics in dashboards — but doing this manually was error-prone, time-consuming, and not scalable.

First attempt

The team tried Zapier but found its workflow limitations and high costs unacceptable, and it was not source-available.

Workflow diagram · grounded in source
1
CRM-to-Mautic data sync
integration
“Integrating and syncing data from their CRM into their marketing automation solution, so that they have the right data for personalized email marketing campaigns”
2
Mautic report to Google Sheet
integration
“This workflow writes data from a Mautic report into a Google sheet, which makes it accessible to consume as a data source by Google DataStudio”
3
Scheduled dashboard refresh
output
“The dashboard is also scheduled to be automatically updated once per day”
Reported outcome

n8n became an indispensable tool at Dropsolid, enabling both technical and non-technical staff to build and maintain workflows, increasing productivity, improving cross-team collaboration, and reducing costs.

Reported metrics
ProductivityIncreased productivity
Cross-team collaborationMore collaboration across teams
CostsLower costs
Reported stack
n8nMauticGoogle DataStudioCRMGoogle sheet
Source
https://n8n.io/case-studies/dropsolid/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

n8n became an indispensable tool at Dropsolid, enabling both technical and non-technical staff to build and maintain workflows, increasing productivity, improving cross-team collaboration, and reducing costs.

What tools did this team use?

n8n, Mautic, Google DataStudio, CRM, Google sheet.

What results were reported?

Productivity: Increased productivity; Cross-team collaboration: More collaboration across teams; Costs: Lower costs (source-reported, not independently verified).

What failed first in this deployment?

The team tried Zapier but found its workflow limitations and high costs unacceptable, and it was not source-available.

How is this marketing ops AI workflow structured?

CRM-to-Mautic data sync → Mautic report to Google Sheet → Scheduled dashboard refresh.