BUSINESS SPECIALIZATION · MQL ACQUISITION & SQL HANDOFF

MQL Campaign & Landing Lab

Turn the Media Content House package into a measurable first-party landing experience: configure every campaign asset, assemble the Level 1 Product Page, design the Level 2 business offer, instrument the customer journey and hand qualified demand to SQL and Sales.

01 · START · PROJECT FILES

Bring in the Media Content House package

Use plain working language: what will run, what the customer will see and what happened after launch. The Final Product Page HTML is mandatory because this laboratory instruments that exact page; it does not recreate it. Load Don Espadín Example requires no uploads: the complete Media House package, Product Page HTML, SEM setup and campaign-result database are loaded automatically.

READY CHECK

What this laboratory can do now

Real-project rule: without the Final Product Page HTML, Landing Builder and Level 2 Offers cannot produce the final instrumented page. In the Don Espadín example this dependency is already resolved automatically.
02 · CAMPAIGN SETUP

Configure every piece in business terms

This is where the Media Content House Traction Plan becomes executable. For every piece, confirm where it runs, the visual the customer sees, Paid / Owned / Shared / Earned, the exact UTM, investment and KPI target. Product Page pieces are handled as their own group rather than appearing again under Owned.

03 · LANDING BUILDER

Build Level 1 first, then configure return-visit nurturing

The loaded Final Product Page HTML is the template. Use the first workspace to place the four buyer-facing Level 1 pieces. Use the second workspace to decide how a returning visitor is nurtured without covering the Product Page title or exposing internal channel names as customer-facing copy.

FOUR PAGE SLOTS
04 · LEVEL 2 OFFERS · FIRST-PARTY

Decide what happens after each Level 1 click

The first-level banner creates the promise. Here you configure the business action behind it. Product is a contact / advice route; Price changes price or quantity value; Promotion changes the promotional benefit or packaging; Distribution changes delivery or availability. Invalid combinations are blocked.

First-party tracking contract: visitor ID (NEW or SPO), session ID, timestamp, original UTM, Level 1 route, Level 2 activation, Product / Price / Promotion / Distribution frequency, Buy and Request More Information events.
05 · RESULTS & HANDOFFS

Operational outputs after campaign execution

For a real project, load campaign-results data in Start · Project files. The Don Espadín example already contains the full synthetic execution dataset, so every handoff and preview is available immediately.

DELIVERABLES

Operational files for Marketing, SQL, Sales and Payment execution

The three commercial handoffs remain separate: MQL leads go to SQL; direct ecommerce conversion orders go from MQL to Sales / Payment; SQL-won conversion orders go from SQL to Sales / Payment.

Final instrumented HTML

The Media Content House Product Page with Level 1 layout, Level 2 offers, first-party tracking and configured nurturing.

MQL Leads → SQL

Qualified first-party leads with consent, UTM lineage, 4P signal, MQL score and SQL outcome.

Direct conversion orders · MQL → Sales / Payment

Direct ecommerce orders that bypass SQL and move straight to Sales, billing and payment execution.

SQL-won conversion orders · SQL → Sales / Payment

Orders generated after assisted SQL qualification and prepared for Sales / Payment execution.

First-party database · Google Sheets ready

One row per session / cookie with 4P frequency, Buy, More Information, consent, UTM, MQL / SQL status and conversion route.

Campaign KPI Results

Campaign-level impressions, clicks, spend, MQL, SQL, purchases, revenue, CPM, CTR, CPL, CPA and ROAS.

Implementation Pack

ZIP with templates, example data, manual, first-party database, three commercial handoffs, reporting and final HTML.

FINAL HTML · LIVE PREVIEW

See the page that will actually be published

Switch between the normal customer page and a return-visit nurturing state. This is HTML, not a screenshot.

06 · REPORTING · GROWTH → MQL → SALES

Read the complete acquisition funnel in business language i

CPM and CTR explain the Growth / Audience layer; CPL explains the MQL layer; CPA and ROAS explain the Sales layer. The Don Espadín classroom example reconciles to 35 MQL leads, 25 SQL-won orders and 15 direct ecommerce orders.

FUNNEL KPI SUMMARY i
NURTURE / COOKIE POOL i

People who clicked but did not become a lead or order yet

These sessions keep their visitor ID / cookie, original UTM and strongest 4P signal. The table recommends the next value route for nurturing.

Signal iCookie sessions iShare iNext-best action i
MARKETING KPI DASHBOARD i
Campaign / piece iPOSE iChannel iSpend iImpressions iClicks iCTR iMQL iSQL iSQL won iDirect ecommerce iPurchases iRevenue iROAS i
DIIIP · METHODOLOGY AT THE END OF THE JOURNEY

From media evidence to a measurable customer signal

This laboratory connects content, first-party behaviour, campaign execution and commercial handoff without losing the original UTM and creative evidence.

D
Data

Media recipe, final HTML, UTM, spend, impressions, session cookies, clicks, offers, consent, orders and lead requests.

I
Information

The raw events become one traceable session: who arrived, from where, what Level 1 / Level 2 route was used and what happened next.

I
Intelligence

Frequency by Product, Price, Promotion and Distribution identifies the dominant commercial signal and the next best action.

I
Insights

Campaign KPIs, conversion, ROAS, warm-lead quality and direct ecommerce reveal what should be scaled, changed or stopped.

P
Personalization Actions

Returning visitors can receive a policy-aligned nurture asset, while qualified leads move to SQL and completed orders move to Sales.

KAI·ROI EQUATION · CUSTOMER EQUITY

MQL turns media activity into operational evidence

The laboratory preserves traceable evidence about acquisition, response, conversion and commercial outcomes that can later support KAI·ROI, ROI and Customer Equity analysis.

The formal KAI·ROI structure remains sovereign. This laboratory contributes observable data and decisions; it does not reinterpret the equation.

EXECUTIVE RESOURCE

The KAI·ROI Equation Book

A concise executive resource for understanding how data, ROI, Customer Equity and strategic decisions connect across the DOC ROI ecosystem.

  • How operational evidence supports ROI reasoning
  • Why Customer Equity matters beyond a single conversion
  • How acquisition and conversion data become decision evidence
  • Why data must be monetized with purpose
Access the KAI·ROI Equation →