Three layers between a question and a decision
When one layer is weak, meetings turn into arguments over whose number is right, and budget goes to the wrong place. We fix the layer holding you back, or build all three.
Logizly · Data & AI consultancy
Your data already knows which ads are wasting your budget.
Most companies have the answer somewhere in their data and can’t reach it in time to act. We set up the tracking, join everything into one set of numbers, and put AI on top to fetch answers fast. People who know your business still make the call. You see what is working sooner and move money to it, on numbers you trust.
Marketing spend measured against real loan applications, including offline ones, for the first time
Snap Finance
Teams we have built data for
Snap FinanceEmbrokerCigna HKENT Credit UnionEnclave
What we do
01 · Digital analytics 02 · Data platform 03 · AI on your data
Collect the data that decides where money goes
Tracking that records every sign-up, sale and lead against the campaign that paid for it, so budget moves to what works.
GA4 and Adobe, server-side tagging, event design, attribution, consent and platform migrations.
Connect it into one set of numbers
Marketing, product, sales and finance data in one warehouse, defined once, so every team and every report gives the same answer.
BigQuery, Snowflake or Databricks, dbt, orchestration, a semantic layer and BI.
Ask a question and get an answer you can check
AI fetches, drafts and summarises in seconds. A person who knows the business checks the figure and makes the call.
Agents grounded in your metric definitions, with evaluation sets, access controls and a query log for every answer.
One set of numbers for people and AI
The same answer in every report and AI tool
If a VP checks last quarter’s revenue in Looker and someone asks an AI agent the same question in Slack, both should get the same figure. We define each number once, test it, and every dashboard, report and AI tool reads that one definition.
Website & app trackingAd platforms & CRMProduct eventsFinance & billing
Warehouse + dbtShared metric definitionsTests & access controls
For peopleDashboardsSelf-serve BIBoard packs
For agentsConversational analyticsAI summariesAutomations
AI for speed. People for judgement.
How we build, and what we build for you
AI can pull a figure, draft a query or summarise a week of results in seconds. It can also be confidently wrong. So AI does the fetching and drafting, and people who understand the business do the checking and deciding. We build the same way: AI agents write the first draft of the code, and a senior engineer reviews every change before it ships.
What this means for you
- Answers in minutes to routine questions that used to wait days for a report
- Every AI answer shows the query and definition behind it
- A person signs off anything that moves money
- Working output early in every sprint, with tests and docs included
Results
Selected client work
What changed for lending, insurance and enterprise teams once they could trust their data.
Explore all cases Snap Finance FinTech · Consumer lending Embroker InsurTech · B2B SaaS Cigna HK Health insurance · Enterprise
Ad spend measured against real loan applications for the first time
A full GA4 build, server-side tracking and an attribution model that matches marketing spend to applications, including the ones completed offline.
OfflineApplications matched
Server-sideTracking live
Wasted spendReduced
One version of the numbers, then experiments on top
We rebuilt tracking and reporting so marketing, product and finance read the same figures, connected marketing data to Salesforce, then ran a structured testing programme.
ReportingUnified
TrackingRebuilt
CRORunning
One reliable analytics setup, with reporting for every business unit
Google Analytics 360 across all properties, a full event taxonomy and audience definitions, with reporting views built for each business unit.
GA 360Enterprise
TaxonomyDesigned
ReportingLive
All services
Every service, by layer
01 Digital analytics
02 Data platform
Data Platform Build
One warehouse and one set of numbers for every team and AI tool.
Warehouse Migration
Move warehouses on a fixed date, with proof the numbers match.
Data Team Modernisation
Free your data team from the ticket queue to work on what moves revenue.
Embedded Analytics
Dashboards inside your product that customers will pay for.
03 AI on your data
Across all three
Industries we work in MarTech & Marketing FinTech & Financial Services EdTech SaaS & Mobile Ecommerce & Retail
Compare
The smallest fix that solves the problem
Most consultancies bill by the hour, which rewards complexity. We earn repeat work by solving the problem you called about in the simplest way that holds up.
Traditional consultancy
- Months of discovery before anything ships
- A partner sells the work and juniors deliver it
- The biggest solution gets recommended because it bills the most
- AI pilots that make up numbers
- A retainer designed to be hard to leave
Logizly
- Something working in the first sprint
- The engineer on your first call does the work
- The smallest fix that solves the problem gets recommended first
- AI that shows its working, checked by a person
- Everything in your accounts and documented, so you can stop any time
The modern stack we build on
BigQuerySnowflakedbtDagsterCubeLookerFivetranClaude
How we work
How an engagement starts
The work runs in three steps. You see working output within weeks and can stop after any stage.
01
Discovery call
A 30 minute call with the engineer who would do the work. We look at your setup, tell you what we would fix first, and whether you need us for it.
Day 1 02
Blueprint sprint
We map your sources, stakeholders and goals, then give you an architecture and a prioritised roadmap. You keep it whether or not we do the build.
2 to 4 weeks 03
Build in sprints
We ship working tracking, models, dashboards and agents every two weeks. You can stop after any sprint, and everything built stays yours.
Every 2 weeksWhat happens on the call
Book your call- 30 minutes with the engineer who would do the work
- No slides or sales pitch
- A clear answer on whether we can help, and a referral if we can’t
- The first fix we would make, which you can use either way
Questions?
What does Logizly do?
We shorten the time between a business question and a decision. The work sits in three layers: tracking that records what customers do and what it earned you, a data platform that joins it all into one set of numbers, and AI on top that fetches answers quickly while people make the calls. We also fix single problems in existing setups.
Who is it for?
Any company where money decisions depend on data: marketing budgets, pricing, retention, stock. We have worked in lending, insurance, credit unions and SaaS. Whatever the industry, the questions run through the same three layers.
How quickly will we see results?
The blueprint lands in two to four weeks. After that we ship in two-week sprints, so something usable reaches stakeholders early and often.
Do we get locked in?
No. Everything lives in your cloud and your repositories, documented and tested, and your team is trained to run it. Many projects end at handover. Clients who keep working with us month to month do so by choice and can stop with a month’s notice.
Which tools do you use?
Whatever fits what you already have. For tracking, usually GA4 or Adobe with server-side tagging. For the platform, BigQuery, Snowflake or Databricks with dbt. For AI, Claude, Gemini or OpenAI running in your own cloud.