For MAP managers and lifecycle marketers stuck in the build queue. We architect, ship, and govern the kind of triggered programs that compound while you sleep.
Most teams own a capable MAP and use 20% of it. We design and build the lifecycle programs that take it the rest of the way, trigger logic, branching, suppression rules, governance, then hand them back as templates your team can extend without rebuilding from scratch every quarter.
We design and run automated programs across email, in-app, and ad channels, the kind that segment, personalize, and trigger off real behavior. Set up once, refined forever. The team gets their time back; the funnel keeps moving.
Automation is leverage, not autopilot. The best programs are designed deliberately, then let to run quietly.
Real flow from a recent build. Hover any node to see the trigger logic, branch criteria, or downstream action. Every program ships with this kind of documentation, not a screenshot.
Five phases. Five working agreements. Each one ends with something live, measurable, and handed back to your team.
Inventory programs, templates, deliverability, governance gaps.
Templates, audience tables, governance, channel orchestration model.
Lifecycle journeys, triggers, A/B frameworks, dynamic content.
Migrate active programs onto the new system. Hold-out groups in place.
Quarterly performance review, template library evolution.
The left column is what we walk into on Marketing Automation. The right is what we ship: same operating surface, cleaner ownership, and fewer manual workarounds.
Every campaign is bespoke. Templates don't exist. The same email gets rebuilt from scratch each quarter and the team has no leverage on its own work.
Templated, reusable, governed. Campaigns ship in days, not weeks, and the team can compound on prior work.
One message, every list, every week. Engagement decays.
Behavior-driven sends that fire only when context says so.
First-name tokens and nothing else.
Content blocks swap based on segment, intent, and stage.
Numbers nobody believes, opens vs. delivers vs. attributed revenue.
Dashboards tied to revenue. Marketing and finance see the same number.
Email, in-app, ads, and SMS each ship their own thing. The customer gets four uncoordinated messages on the same day, and nobody on the team knows why.
One audience, one calendar, one journey. Email, in-app, paid and SMS share the same context, and the customer feels a single brand instead of four departments.
Recognize three or more? Book the 10-minute intro call →
Four core capabilities, working as one system. Hover any column, meet the specialist who runs it.
Audit and build out the platform. Marketo, HubSpot, Iterable, whatever runs your sends. Templates, governance, audience tables, deliverability. The foundation everything else stands on.
Lifecycle journeys, drip campaigns, behavior triggers, re-engagement loops. Every program is templated, segmented, and engineered to ship on its own once it is live.
Dynamic content blocks, conditional logic, AI-assisted variation. The same email looks different to every segment and reads like it was written for them.
Reporting tied to revenue, not opens. A/B frameworks, holdouts, and a quarterly review cadence. Programs get smarter quarter over quarter, and the team has receipts.
Four phases · One system · always-on
If you don't see yours here, the easiest way to get an answer is to ask. We don't gate calls.
Email us a question →Marketo, HubSpot, Iterable, Customer.io, Braze, Pardot, Salesforce Marketing Cloud, and a long tail of smaller tools. The architecture work is platform-agnostic; the build is platform-specific.
Opposite. Good automation is leverage on your team, fewer hand-builds, more strategy work. We typically reduce the manual hours required to ship a campaign by 60–80%.
Audit first: SPF, DKIM, DMARC, IP warming, list hygiene, suppression hygiene, and ESP reputation. Most "automation isn't working" problems turn out to be deliverability problems wearing a costume.
Yes. We migrate program by program, never big-bang. Hold-out groups validate every cutover before old logic gets retired.
Revenue-tied attribution, not opens. We build dashboards on top of modeled metrics so marketing, sales, and finance look at the same number, and trust it.
Most engagements pull in one or two adjacent services. Use these when the build needs cleaner data, sharper routing, or a broader operating model.
Frame the bet, platform mix, operating model, and roadmap before the build queue.
→Production agents with tools, evals, guardrails, observability, and human handoff.
→Capture, dedupe, score, route, and nurture without leaks between marketing and sales.
→Behavior-triggered programs that ship at scale across lifecycle, nurture, and expansion.
●Schemas, cleanup, enrichment, quality monitoring, and governance.
→Integrations and back-office workflows that remove manual handoffs.
→The best marketing automation is the kind nobody on the team has to think about. Designed once, governed forever, optimized quarter over quarter.
