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Ibai Fernández
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Selected proof release // public dossier

LFi operating atlas // revenue operations & automation

WHEN AN AGENCY STOPS BLEEDING TIME, MARGIN APPEARS.

At LFi, my most valuable work was not another campaign asset. It was engineering the operating layer that made delivery harder to break.

I entered through execution, but the leverage emerged when I turned tacit workflow knowledge into reusable systems: CRM routing logic, launch blueprints, quality gates, escalation paths, multichannel orchestration, and documentation that reduced dependency on individual memory.

This dossier is about commercial reliability. Not "marketing output" in the abstract, but the systems thinking that made delivery faster, clearer, and more governable under real enterprise pressure.

Accounts Operated 18+ concurrent enterprise delivery streams across Chile and the region
Promotion Arc Aug 2023 -> Dec 2024 from specialist scope to mail marketing and automation leadership
POCURO Compression 60k -> 6k -> 500 raw monthly volume turned into manageable, high-intent buyer flow
Leben Delivery Rate 99.66% after list hygiene, domain recovery, ESP migration, and UX refinement

Systems architecture

THE AGENCY DID NOT NEED MORE OUTPUT. IT NEEDED AN OPERATING LAYER.

The common failure mode inside agencies is not lack of effort. It is hidden operating debt: routing logic spread across heads, launches rebuilt from scratch, QA depending on mood, and account complexity turning every campaign into a fresh firefight.

  • Documented process to reduce dependence on specific operators.
  • CRM and lead routing logic made explicit and inspectable.
  • Reusable launch structures for regulated and multi-sector accounts.
01

CRM routing logic

I turned lead movement into a governed layer. Qualification, ownership, escalation, and downstream actions stopped depending on informal tribal knowledge.

02

Reusable launch blueprints

Recurring delivery work became a system of repeatable patterns rather than a weekly reconstruction exercise. That is where cycle compression came from.

03

Quality gates and escalation paths

I made quality less dependent on heroics by introducing pre-flight checks, decision criteria, and escalation routes that kept execution legible under pressure.

04

Operational documentation

Process knowledge was written down and turned into reusable assets so the team could scale capability without scaling fragility.

Proof module / POCURO

POCURO DIDN'T NEED MORE LEADS. IT NEEDED A BETTER FILTER.

Within my LFi scope, POCURO exposed the real cost of weak lead qualification. The account was pulling in more than 60,000 leads per month with intent below 5%, forcing the sales layer to burn time on noise.

The intervention combined channel rethink, WhatsApp automation via n8n, a custom knowledge base, lead scoring, and better downstream visibility. The point was not "more volume". It was more signal.

  • Meta-heavy acquisition was rebalanced toward higher-intent search demand.
  • WhatsApp automation absorbed first-line qualification before human follow-up.
  • Lead scoring created a visible split between raw capture and real buyer readiness.

What changed operationally

  • Budget was rebalanced toward higher-intent acquisition instead of brute-force volume.
  • WhatsApp chatbot flows absorbed repetitive qualification work.
  • Lead scoring created a visible difference between raw capture and real buying intent.
  • Sales stopped drowning in volume and started receiving better-prioritized opportunities.

Lead quality compression

60k+ monthly leads entering the acquisition layer
6k manageable volume after automation + qualification logic
500 high-intent buyers routed toward sales each month
~90% reduction in unqualified volume Higher ROI without adding headcount

Proof module / Leben

LEBEN SHOWED THAT DELIVERABILITY IS A REVENUE PROBLEM.

Within my coordination scope at LFi, the Leben intervention combined technical reputation recovery, list hygiene, ESP migration, and conversion-focused email UX. The important point is not authorship theatre. It is that the area turned a noisy, risky base into a healthier commercial channel.

This is exactly the kind of work agencies underprice: fixing the machine beneath the send button. Once that machine is cleaner, the numbers stop lying.

  • Microsoft blacklist recovery plus IP warm-up stabilized reputation before scale resumed.
  • SPF, DKIM, and DMARC hardened infrastructure while SQL cleanup removed dead weight.
  • Mailchimp to Brevo migration, mobile-first redesign, and send-time optimization made the channel commercially useful again.

List hygiene reset

Original base 69k
Effective base 20.5k
Active contacts 11k
Reactive contacts 9.5k

Reputation repair

Hard bounces 4,087 -> 5 99.8% reduction after cleanup and infrastructure hardening
Delivery rate 99.66% after blacklist recovery, warm-up, SPF, DKIM, and DMARC

Engagement lift

Open rate 8.68% -> 39.63%
CTR 0.92% -> 3.70%
Peak open window: 47% Mailchimp -> Brevo migration + mobile-first email redesign

Promotion arc

TITLE ONLY MATTERS WHEN IT TRACKS WIDENING SYSTEM OWNERSHIP.

My progression inside LFi was not a sequence of prettier job names. It followed a simple logic: each role gave me more control over the underlying machine.

That same systems bias now feeds the internal AI leadership track I am building toward, with tooling and product experiments like MyBoard, reporteria-mm-a, and automation-tools extending the operating mindset beyond campaign delivery.

Aug 2023

Email Marketing & Automation Specialist

I entered through execution: front-end surfaces, email marketing, automation workflows, and the first routing patterns that removed repetitive setup work from the team.

May 2024

Marketing Coordinator

Scope widened into multichannel ecosystem control, funnel analytics, team coordination, and execution governance across simultaneous client operations.

Dec 2024

Director of Mail Marketing & Automation

I took ownership of a broader operational layer: process documentation, automation standards, cost control across provider accounts, and a more predictable delivery model under regional enterprise pressure.

Enterprise proof

THE CLIENT WALL MATTERS BECAUSE THE PRESSURE WAS REAL.

This was not a single-account sandbox. The operating layer had to sustain banking, real estate, energy, health, and institutional workloads without collapsing back into improvisation.

  • Selected proof modules published now: POCURO and Leben.
  • Client breadth demonstrates load, not vanity.
  • Testimonials reinforce systems leverage, not personality alone.
Bill Capital Inmobiliaria POCURO Banco Internacional de Chile Colbun Leben HIF Global Marca Chile Clinicas Norden Clinica Costanera

Ibai is a true digital alchemist, transforming ideas into effective and memorable email marketing campaigns. His attention to detail makes a measurable difference in both execution quality and outcomes.

Franco Ogaz Palma Head of Sales | Real Estate

He constantly optimizes workflows, brings deep email marketing expertise, and elevates team performance in day-to-day operations.

Fernanda Munoz Onetto Account Director at LFi

His ability to overdeliver and provide a wider perspective has lightened our workload. He brings structure, speed, and clarity even under pressure.

Bani Barranco Automation Specialist at LFi

Case-study close

THE VALUE WAS NEVER "MORE OUTPUT." IT WAS MAKING DELIVERY HARDER TO BREAK.

That is the commercial point of the LFi dossier. I did not just ship assets inside an agency. I helped engineer a more governable delivery machine: clearer routing, cleaner qualification, faster launches, stronger QA, and better trust under enterprise pressure.

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