Custom Workflow Automation for Marketing Agencies
When client reporting, campaign deployment, and time-tracking-to-invoicing stop scaling on Asana, ClickUp, HubSpot, and Zapier.
Marketing agencies live in the most fragmented stack of any service vertical. Project management in Asana or ClickUp, CRM in HubSpot, ad accounts in Google and Meta, ops docs in Notion, comms in Slack, billing in QuickBooks. Each tool is excellent at its core job. Each integration between them is a Zap, a webhook, or a manual handoff that someone built and almost no one documented. The stack scales to maybe a dozen retainer clients before the integrations become the bottleneck. Past that, the agency hires around the seams: an ops person whose job is mostly chasing data between systems. We write the integrations in code so the seams disappear, and the ops person can do something other than copy-paste.
Pressure-test your bottleneck›What Marketing Agencies typically run
- Asana or ClickUp for project management
- HubSpot or Pipedrive for CRM
- Google Ads, Meta Ads, LinkedIn Ads
- Notion for ops documentation
- Slack for comms
- QuickBooks or Xero for billing
- Zapier or Make for the glue
Workflows we automate
- Client reporting
- Pulling campaign data from Google Ads, Meta, LinkedIn, GA4, and the CRM into the weekly client deck. Most agencies do this with screenshots and a spreadsheet.
- Campaign deployment
- Briefing to creative review to approval to launch across multiple platforms, with status tracked in project management. Hand-offs lose information at every step.
- Time tracking to invoicing
- Tracked hours in Toggl or Harvest, mapped to retainer commitments, mapped to monthly invoicing in QuickBooks. Reconciling overage and adjustments is mostly manual.
- Asset management
- Creative files, brand assets, approvals, and versions across Google Drive, Dropbox, Frame.io, and Slack. Keeping clients on the latest version is a recurring fire.
- Project handoffs
- Sales-to-onboarding-to-account-team handoffs. The information that closed the deal usually does not survive the transition cleanly.
- Retainer management
- Tracking deliverable commitments against actual work, flagging clients heading into overage, generating renewal proposals. Mostly spreadsheet-driven.
Why no-code platforms top out for marketing agencies
The agency stack is wider than any single vendor's coverage. HubSpot's automations talk to HubSpot. Asana's automations talk to Asana. Zapier and Make span both, but they're the lowest common denominator: simple triggers, simple actions, no conditional branching beyond a couple of paths, no real error handling.
Once an agency has 8-10 active client retainers running in parallel, the matrix of handoffs (sales to ops to account team to creative to traffic to analytics to billing) generates more inter-tool events than Zapier templates can cleanly express. Teams work around this with Slack threads, shared docs, and the one ops person who keeps the whole picture in their head. When that person goes on PTO, the wheels come off.
Vendor lock-in compounds the issue. As the agency grows and shifts tools (HubSpot to Salesforce, Asana to Monday, Slack to Teams), every Zap and every integration glue point has to be rebuilt from scratch. The integration knowledge is in a vendor's UI, not in code, so migrations cost weeks.
What we build
We write the integration layer in real code: Python or JavaScript on PostgreSQL, deployed to the agency's existing cloud account (AWS, Azure, or GCP). The integration is the source of truth for inter-tool state. Each tool keeps doing what it's good at; the integration layer handles all the logic the no-code platforms can't.
Specifically, we typically build: a unified retainer ledger (commitments, hours used, overage flags), a deal-to-account handoff that survives the transition, a campaign-state pipeline that tracks deployments across platforms, and a client reporting aggregator that pulls weekly numbers from every source into a single deck-ready dataset.
Everything is logged, observable, and version-controlled. When the agency adds a new tool to the stack, we wire it in. When the agency replaces a tool, the integration logic survives because it lives in code, not in a vendor's automation UI.
Frequently asked
Do you serve agencies specifically, or is this generic automation work?
Both. The pages on this site organized by industry exist because each vertical has a stack we know well. Marketing agencies have specific patterns: HubSpot to Asana to QuickBooks, retainer ledgers, multi-channel campaign deployment, weekly client reporting. The custom code we'd build for an agency is shaped by those patterns. The same code patterns appear in other service operations but with different tools; we adapt accordingly. An agency that uses Pipedrive instead of HubSpot gets the same integration approach with different API endpoints; the structural logic is the same.
How does this differ from hiring a full-time RevOps or MarTech engineer?
It's a smaller commitment. A full-time RevOps engineer is $120-180k loaded plus benefits, ramps over months, and often spends the first year doing exactly the work we'd ship in 4-8 weeks. We're a build partner: we ship the integration layer, deploy it to your cloud, and stay engaged on retainer for ongoing changes. If the agency reaches the size where a full-time hire makes sense, the integration layer we built is already running in the agency's environment. The handoff to an in-house engineer is a documented codebase, not a black box.
What if we already have a developer?
That works well. Many engagements look like: we ship the first integration and maintain the codebase, your developer reviews the patterns and writes additional integrations using our codebase as a reference template. We share the architecture, the integration patterns, and the operational runbook so your developer is informed about what's running. Pair-programming and code-review sessions are part of the engagement when there's an in-house engineer. Agencies that already have a developer typically find the collaboration cuts build time, since they have domain context we'd otherwise learn on the call.
What does an engagement look like?
Engagements start with a thirty-minute conversation. We document the workflow, separate what's actually breaking from what just feels rough, and send a written diagnostic within three business days. The diagnostic is yours whether you hire us or not. If you do hire us, the first build typically lands in 4-8 weeks. We deploy in stages so you can validate each piece. Retainer kicks in after launch for ongoing maintenance and additions. Most agencies start with one integration and expand as that one proves out.
What about smaller agencies, 5-10 people?
Custom code is usually the wrong tool at that size. The stack is small enough that Zapier templates are still serving, the integrations are simple enough that no-code holds together, and the team is small enough that one person can hold the whole picture. The right move is to keep using no-code and revisit when the cracks start showing. We are happy to say so on the diagnostic call when the answer is 'not yet.' The diagnostic itself is the same process regardless of size, so the call is useful even if the conclusion is to wait.
Written and built by Charles Borden, founder of AutomationsHQ. Ten years of production systems engineering before this: ship control at Electric Boat, radar positioning at Raytheon. AutomationsHQ writes custom workflow automation for service operations whose stacks have outgrown Airtable, Zapier, and Make. Real production systems, not no-code patches. Mid Bay News reclaimed 100+ hours per week of manual work after we rebuilt their content aggregation pipeline.
Workflows we automate for this industry
Custom CRM Automation for Service Operations
When Salesforce, HubSpot, or Pipedrive workflows hit the wall on custom scoring, multi-step approvals, or non-standard pipeline shapes.
Custom Client Onboarding Automation
When kickoff is supposed to take a week and somehow takes three, because intake, contracts, and system access are spread across six tools and four humans.
Custom Project Status Reporting Automation
When weekly status reports require an hour of manual data assembly per client, per week, and the data sources never quite agree.
Custom Billing Reconciliation Automation
When Stripe to QuickBooks to bank statements is a manual reconciliation that eats finance hours and still misses discrepancies until month-end.
Custom Lead Qualification Automation
When lead qualification is six glued-together Zaps that drop leads, miss enrichment, or route to the wrong rep half the time.
Want a written diagnostic of your bottleneck?
Pressure-test your bottleneck›Free, 30 minutes, no pitch.