Funnel architecture · Full-channel measurement · AI automation

Every channel, one funnel.
Every repeat task, automated.

We turn scattered marketing channels and assets into a single measurable funnel, instrumented stage by stage with the KPIs that actually matter — then automate the operations that run on top of it.

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Today — 40+ channels and assets

Meta AdsYouTube AdsTikTok AdsSearch adsInstagramTikTokBrand YouTubeBlogOwn storeEmailPRReviewsCreatorsPop-upOOHCommunity

Funnel architecture · one core KPI per stage

After — one measurable funnel

01AwarenessReach

02ConsiderationClicks · sessions

03ConversionOrders

04Retention · FansRepeat · followers

Then the repeat work on top, automated

SheetsReports · decksEmailAlerts

Your funnel lives in a deck. Not in your data.

The stages are defined — but nothing connects them to the assets that actually move them.
Every platform defines its own metrics — impressions, views, streams — so nothing adds up per stage.
Paid gets measured. Organic, owned, earned and community never reach the funnel at all.

If you can't see which stage is stuck, you can't decide what to automate. That's why we measure before we automate.

Services

Architect. Measure. Automate.

In that order. Skip a step and the automation gets built on guesswork.

Funnel architecture

We take the funnel you already have and redefine it in measurable terms — starting from the channels you actually run, fixing the stages, and locking one core KPI per stage. No generic template pushed over your business.

Deliverable — stage definitions · KPI table per stage

Full-channel measurement

We normalize your channel and asset master across Paid, Organic, Owned, Earned, Partnership and Offline, then map every content type to a funnel stage. AI proposes each mapping with its reasoning; your team approves or overrides it.

Deliverable — channel inventory · tracking dashboard

Marketing ops automation

Once measurement is in place, the bottlenecks surface. We build custom AI systems for the repeat work sitting on them — competitor and trend research, data collection, recurring reporting, funnel upkeep.

Deliverable — custom AI workflows · operational handover

Each stage gets one core KPI, with the metrics each platform actually reports sitting under it. Numbers that were never comparable — impressions on one channel, streams on another — now line up under the same stage. That is what turns “which channel deserves more budget” into a question with an answer.

How it works

Measurement first. Automation second.

What Phase 1 measures is what decides Phase 2's scope.

Phase 1

Architect & measure

1Collect the channel and asset inventory — scattered sheets normalized into one master.
2Define funnel stages and the core KPI for each — fitted to how the brand actually operates.
3Map content types to stages — AI proposes with reasoning, your team approves or overrides.
4Dashboard goes live — every channel tracked against the funnel in one place.

Phase 2

Automate

1Identify the bottleneck from real data — which stage is actually stuck.
2Build the custom AI system for the repeat work sitting on that stage.
3Hand it over in a form your team can run and change without us.

A content type opened in the dashboard: the stages it was assigned to, the reason the AI gave, and the manual override toggles — Open one piece of content and you see which funnel stages it feeds and how each of them is measured. Whether an ad is only building awareness or actually pulling people in stops being a matter of opinion — and when a stage looks thin, you can see exactly which content is supposed to be filling it.

Case · Entertainment / music release

Six channel types, 40+ assets — connected into one funnel.

Starting point

The brand was already running six channel types at once — paid media, organic social, music platforms, PR, fan community and offline. With that much in flight, every channel reported on its own terms, so what it needed was a single basis to add them up.

What we built

One master inventory, four funnel stages with a core KPI each, and every content type mapped onto the stage it actually moves. All six channel types now roll up into one dashboard on the same basis.

What came next

With the funnel measurable, the team could see which stage would repay the next push — and the repeat work sitting on it became the automation scope. That is section 6.

The funnel dashboard built for this client — four stages, each with its core KPI and every content type tracked week by week — Content from six channel types, tracked week by week against four stages. Which stage is filling up, which one is thin, and where the next piece of content should go — all readable from one screen, without opening a single platform dashboard. (Shown with a demo brand, not client data; metric values are sample until KPI collection is connected.)

Open this dashboardBrand name withheld at the client's request.

After onboarding

Measurement is where we start. Not where we stop.

Once the funnel is instrumented, the repeat work around it is what we automate — running in a real browser, on your logins, producing the files your team already uses.

Browser research

Competitor tracking, trend and format scans, account discovery — driven in a real Chrome, so logged-in pages and sources without an API are still reachable.

Sheet · Markdown brief

Data collection

Multi-site scraping and field normalization, merged into one sheet on a schedule instead of by hand each week.

Excel · Google Sheets

Reports & decks

The recurring weekly or monthly report assembled from the funnel data — same structure, new numbers, no re-typing.

PPTX · PDF · Docs

Email & routing

Drafts and sends built off what the run found — the client update, the internal digest, the alert when a KPI moves.

Draft · Send · Alert

Each one is scoped from what the dashboard showed was actually stuck — never a template menu.

Twixy running an account-discovery workflow, live browser panel on the right — A run in progress — the workflow on the left, the live browser on the right

Merged multi-site product spreadsheet produced by a run — What one run produced — 4,725 rows merged from three sites, in about four minutes

Right now we work deeply with one brand.

Which means the next one gets the same density. Whether we start from funnel architecture or add automation on top of metrics you already have is what the first conversation decides.

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The desktop program your team runs the finished systems in: See the program →