01The problem 02Method 03Services 04Cases 05Let's talk
ESCAEN
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From all your tools to a single view

Set the course your company needs

We bring all your marketing, sales and finance tools into a single view, so the whole company rows in the same direction.

Companies already making better decisions with Avallone
Guau&Cat Enric Corbera Institute SUAD Caufriez Concept The Playcook
The problem isn't a lack of data

Each team sees a part. Nobody sees the whole business.

Marketing, sales, product and the website look at the same business through different sources, definitions and timeframes. All four figures are true. None of them match.

01

Marketing looks at campaigns

Impressions, clicks, leads, ROAS and cost per lead, channel by channel. Each platform claims its own conversions and, added up, they show more sales than there were.

02

Sales looks at the pipeline

Opportunities, meetings, proposals and closed deals in the CRM. A lead counts when someone works it, not when the click happened, and its source almost never matches what marketing says.

03

Product looks at the catalogue

Stock, prices, discounts and returns by SKU. It knows what sells and what stays in the warehouse, but not which campaign moves it or at what margin.

04

The website looks at orders

Sessions, conversion, average order value and returns. The ecommerce platform counts orders, not profitable customers, and gives the sale to the last click.

Four views of the same business. None of them lie and none of them match. That is why we start by unifying the data, so everyone looks in the same direction.

This is how we solve it

We join the data from every department into a single model of your business

Campaigns, CRM, ecommerce, catalogue and stock connect through what they share: customer, channel, product and period. On that model, marketing, sales, product and leadership read the same figures. Every decision and its outcome go back into the system as memory.

A diagram, not a screenshot.

MARKETINGGOOGLE ADSMETAGA4SALESHUBSPOTSALESFORCEPRODUCTSHOPIFYAMAZONHHOLDEDWEBWWOOCOMMERCESSTRIPEJOINED BYCUSTOMER · CHANNELPRODUCT · PERIODModel ofthe businessREAL CAC · MARGIN · LTV · PAYBACKSAME FIGURES FOR ALLMARKETINGSALESPRODUCTLEADERSHIPRumboLA MISMA LEADERSHIPMEMORY: WHAT WAS DECIDED, WHY AND WHAT HAPPENED MARKETINGGOOGLE ADSMETAGA4SALESHUBSPOTSALESFORCEPRODUCTSHOPIFYAMAZONHHOLDEDWEBWWOOCOMMERCESSTRIPEJOINED BYCUSTOMER · CHANNELPRODUCT · PERIODModel ofthe businessREAL CAC · MARGIN · LTV · PAYBACKMARKETINGSALESPRODUCTLEADERSHIPRumboLA MISMA LEADERSHIPSAME FIGURES FOR ALLMEMORY: WHAT WAS DECIDED, WHY AND WHAT HAPPENED
Your business first. Then the system.

First we understand your business. Next we put the data in order. Then we decide, act and learn.

Technology processes more information, but it doesn't decide what matters. That is why we start with the business questions and build the system around them.

01 · BUSINESS

We define what you need to decide

02 · DATA

We integrate and reconcile

03 · DIAGNOSIS

We find where value is created and lost

04 · RECOMMENDATION

We turn the analysis into priorities

05 · ACTION AND LEARNING

We execute, and the system learns

Questions that get answered

You stop asking what happened. You start deciding what to do.

01

What's happening

A clear, current view of the business, channels and performance.

02

Why it's happening

Identify the real causes behind the results.

03

What it could lead to

Understand the impact on sales, margin and growth.

04

What we should do

Concrete, prioritised recommendations to act on.

05

What we learn from it

Draw lessons to improve next time.

Two ways of working with Avallone

We build your decision system. And, if you wish, we operate it with you.

The difference between Platform and Managed isn't the technology: it's the level of responsibility we take on.

Platform · Your system

We build your decision system

Who it's forCompanies with sound judgement and some analytical capability that lose hours pulling data together from five tools.
What we take onConnecting your sources, building the model of your business, your dashboards, alerts and recommendations, and keeping the system up to date.
What you getYour own environment, adapted to how your company works, with a memory of decisions.

With Platform · a reliable foundation for deciding

Integrated, cleaned data
Marketing, sales, customers and finance connected and structured around your business model.
Shared metrics
A single definition of CAC, margin, LTV, payback and performance, so everyone reads them the same way.
Tailored portal
Spend, sales, CAC, margin, LTV and performance in one place. It sits alongside your Power BI if you already use it.
Alerts and tracking
What is happening, what needs attention and how it is evolving, without waiting for the report.
Managed · Platform + team

We operate the system with you

Who it's forCompanies that don't have the time, the people or the operational discipline to turn information into change.
What we take onMonitoring the indicators, investigating the causes, preparing recommendations, taking part in your decision meetings, executing what is agreed and measuring the impact.
What you getA permanent capability for analysis, automation and judgement, without building that team in-house.

With Managed · a plan for action

Diagnosis and opportunity map
What works, where profitability is lost and where the levers for improvement lie.
Prioritised roadmap
Actions ordered by impact, effort and dependency, with owners and tracking metrics.
Ongoing support
Sessions to interpret results, activate decisions and adapt the system when the business changes.
Decision memory
What was decided, why and what happened next, available to consult the next time the same pattern appears.
What you can't buy

What you can't buy is your business context. It isn't dashboards. It's your direction. Get your company ready for the AI era.

Context

How your company works, its goals, its teams and the constraints on every decision.

Memory

Decisions, reasoning and outcomes are kept on record. Nobody starts from scratch.

Methodology

A structured way to go from data to diagnosis, to recommendation and to action.

Learning

The longer the system works with you, the more context it has and the more accurate its recommendations become.

Cases

What changes when the data is understood

Three real situations, told the way the system records them: signal, diagnosis, decision, outcome and learning.

01Retention

Improving retention where it really mattered

SignalA subscription business was losing most of its customers after a single purchase and making up for it by constantly acquiring new ones.
DiagnosisWe measured conversion from one purchase to the next, not overall repeat rate. The leak was between the first, the second and the third.
DecisionTackle that specific transition instead of increasing acquisition spend.
OutcomeMore repeat purchases, more cash and more LTV per customer, without relying on more spend.
LearningWhen the repeat rate drops, the system looks at that transition first, not traffic.
02Decisions with data

From intuition to steering with data

SignalThousands of customers and years of history, with the data scattered and no view of the business.
DiagnosisWe centralised the sources and analysed real buying behaviour by customer profile.
DecisionDirect spend and sales efforts at the profiles that were already buying again.
OutcomeThe base of repeat customers went from around 1,200 to more than 4,600.
LearningThe opportunities were in the historical data. Now the system watches for them every month.
03Focus and spend

Stop investing in marketing «because that's what you do»

SignalSpend went into channels out of inertia, without knowing what was holding growth back.
DiagnosisBefore touching any campaigns we analysed acquisition, conversion, margins and processes. The bottleneck was conversion, not traffic.
DecisionReorder priorities by expected return, not by habit.
OutcomeSpend concentrated on what converts.
LearningEvery spending proposal first goes through the same question: where is the bottleneck.
Is this for me?

Avallone fits when the data already exists but still doesn't help you decide.

It makes sense if…
  • You invest significantly in digital marketing or manage several areas with data that doesn't add up.
  • You work with several platforms and data sources.
  • You don't have a reliable view of profitability by channel, customer or product.
  • Marketing, leadership and finance use different figures or definitions.
  • You are willing to revisit processes and priorities.
  • You want the system to learn from every decision and its outcome.
It probably doesn't fit if…
  • You only want a dashboard, to run campaigns or to produce more reports.
  • You don't yet have enough activity or history to analyse.
  • You want to confirm a decision already made rather than test it against the data.
  • Nobody internally is available to share information.

If we are not the right fit, we will tell you that just as clearly.

Stop deciding with figures that don't add up

We will reply personally, no strings attached and no generic proposal.

hola@avallone.ai
avallone.ai
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