Marketing automation

Full audit in 2 to 3 weeks (CRM tagging, Shopify data, existing manual scenarios). First scenario live after 4 to 6 weeks (time to set up clean tracking and validate with your team). Measurable results after 2 to 3 months of running: open, click, conversion rate per sequence. A serious mechanism is judged over 6 to 12 months, not over a sprint. If the CRM base is dirty or server-side tracking isn't clean, we start there before the first sequence.

Mailchimp carries email sequences and behavioral segmentation: welcome, abandoned cart, post-purchase, win-back. If you already have Brevo, Klaviyo or ActiveCampaign, we adapt to your stack. n8n connects tools: CRM, ads, customer support, data lake. Continuous sync, enrichment, sales routing. Make or Zapier work too as needed. Claude takes steps that used to require a human: lead qualification, conversation summary, ticket classification, reply personalization. Always with human validation before sending. The 3 tools don't replace each other, they build on each other.

No. Automation amplifies what already works manually. It doesn't create a process that doesn't exist. If your sales team has no manual follow-up sequence we can codify, we start by laying down the manual properly. Then we automate. Not the reverse. It's also when we question your media plan overall: which business moment to activate, on which segment, with what goal. Without that, we automate noise.

MCP (Model Context Protocol) is a connection layer between Claude and your tools (CRM, GA4, Mailchimp, Shopify, helpdesk). It doesn't store your data at Anthropic. Claude reads on demand, generates a reply, data doesn't leave the request's ephemeral memory. GDPR compliance: we sign a DPA with Anthropic via their standard grid, we log requests on the HeySquad side, and we filter sensitive data MCP-side before sending. Similar architecture to a clean server-side tracking: you keep control of what leaves your house.

No. Automation replaces the codifiable repetitive tasks: CRM tagging, Excel exports, J+7 follow-ups, tool-to-tool sync. Not the strategic work nor the business arbitrations. Your team stays on the decision: which segments to prioritize, what tone to hold, which partners to listen to, which campaigns to launch. Automation frees time for these decisions, it doesn't make them. And each AI-driven output goes through human validation before sending. No bot talking to your clients without control.

On two axes. One, the mechanism: open, click, conversion rate per sequence, per segment, per locale. You see what pays and what sleeps. Two, revenue attributable to the existing base (vs new leads paid in Google Ads). Typically, after 6 to 12 months of active scenarios, the share of revenue from existing contacts rises significantly. The base becomes a channel that pays, not a list that sleeps. We compare against the HeySquad engagement cost: one point of existing revenue gained is often cheaper than ten points of paid acquisition added.