lutas.

ABOUT US / THE MEANING BEHIND THE NAME

lutás

Filipino for “solved” or “resolved.”

Our name reflects what we want your data to help you do: understand the problem, find useful insights, and move forward with clarity.

Word meaning ↗

Your data deserves care.
Your decisions deserve clarity.

We help businesses make sense of their marketing and customer data. From the way it is collected to the way it is presented, we bring care to the work that turns information into useful answers.

How we bring clarity

WHY WE DO THIS

Bring clarity to the
decisions that matter.

Teams collect data across websites, campaigns, and customer tools. Turning it into a useful answer takes care: reliable tracking, clear metric definitions, and connections that make sense.

That is why we work from the foundations through to the findings. We help you understand what the numbers can tell you, where the gaps are, and what to investigate next.

WHAT RECENT RESEARCH SHOWS

01 / DATA AT DECISION TIME

How complete is the picture?

Survey sample: 300 senior marketers · Adverity, 2026 [1]

10%

reported complete, validated data when making decisions.

Data available at decision time · share of respondents

  1. Complete and validated10%
  2. Mostly complete; small gaps52%
  3. Partial, but enough to guide decisions35%
  4. Limited; judgement fills the gaps3%
  5. Decisions before data is ready0%

All five response categories are shown. Labels are shortened.

02 / CONNECTIONS BETWEEN TOOLS

How well do the tools connect?

Survey sample: 435 marketers · Supermetrics, 2026 report [2]

37%

reported integration gaps between analytics/BI tools and activation tools.

Respondents reporting this integration gap

From collection to a useful answer.

These findings reinforce why we check tracking, connect the right sources, and keep the context alongside the numbers. Each step helps build a clearer basis for your next decision.

Two separate, vendor-sponsored surveys. These findings provide context, not a diagnosis of your business. Neither measures full GA4 utilization or end-to-end pipeline completeness.

SOURCES & SCOPE

  1. Adverity: AI’s Context Problem (2026) ↗300 senior marketers in the US, UK and DACH. Fieldwork: Q2 2026.
  2. Supermetrics: Marketing Data Report 2026, p. 29 ↗435 marketers in the US, UK, Germany, Australia and Singapore. Fieldwork: Oct–Dec 2025.

CARE IS IN THE DETAILS

Useful insights start with thoughtful work.

We look beyond the headline number to understand what supports it. That means asking questions, checking the foundations, and keeping the context close to the answer.

  1. Start with your question.

    Understand the business problem and the decision you need to make. Then focus the work on the information that can help.

  2. Check the foundations.

    Check tracking, metric definitions, and how sources connect. Make gaps visible so you know what the findings can support.

  3. Keep the context.

    Keep sources, timeframes, assumptions, and limitations alongside the findings. Handle access and shared outputs with care.

  4. Make the insight useful.

    Highlight the patterns that matter, explain them clearly, and connect them to practical next steps for your business.

FROM A QUESTION TO A WAY FORWARD

Let’s work on the problem
you need to solve.

Whether you need to repair tracking, connect your sources, or make sense of a report, we start with your question and build from there.

Explore The BlueprintPlan your project