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Creative Whisper · Data

Data analysis to decide who to talk to, with which product and when.

We work with the information your company already has (sales, CRM, point of sale, social media and conversations) and turn it into decisions for your campaigns.

Why we start with data

Before producing a piece we review your company's data. It tells us who to talk to, with which product and at what moment.

01 · The full cycle

Six stages,
one cycle.

Video is one stage, not the whole service. Scroll or tap each point to see what we do there and what you get at the end.

01

Assessment

We review what data the company has, where it lives and what state it arrives in.

What you get
Source mapQuality report
01 OF 06 01 Assessment 02 Architecture and cleaning 03 Analysis and models 04 Insight 05 Campaign and production 06 Evaluation and adjustment
  1. 01

    Assessment

    We review what data the company has, where it lives and what state it arrives in.

    Source mapQuality report
  2. 02

    Architecture and cleaning

    We organize the information in one place, with clear rules on who uses it and how.

    Data modelGovernance rules
  3. 03

    Analysis and models

    We look for patterns: what sells together, who buys again, what predicts a purchase.

    SegmentationPredictive model
  4. 04

    Insight

    The conclusion in one sentence: who to talk to, with which product and when.

    Actionable insightMessage per segment
  5. 05

    Campaign and production

    Each piece is produced for a specific segment and goal.

    ScriptPieces per format
  6. 06

    Evaluation and adjustment

    We measure against the goal, compare with the previous campaign and correct the next one.

    DashboardAdjustment plan
02 · The data chain

Five stations
before the script.

Without this chain there is no insight. Each station leaves the information ready for the next one.

01

Sources

Sales, CRM, web, point of sale and social media in one inventory.

02

Governance

Who can see what, how each field is named and who is responsible for it.

03

Cleaning

Duplicates removed, consistent formats, gaps resolved. Without this, nothing else works.

04

Models

Segmentation, recommendation and repurchase prediction on reliable data.

05

Insight

A clear conclusion that becomes the campaign brief.

03 · From segment to piece

Each group,
its own piece.

Segments are defined with statistical models and each one gets a piece designed for it. Hover or tap a card to see which customers it speaks to.

Customer segmentation

Sample data

Each dot is a customer.

Purchase frequency → Average ticket → Regulars Occasional New
04 · Tracking

Measuring while
the campaign runs.

We measure against the goal and adjust production while the campaign is live.

Weekly campaign results

Sample data

Dotted lines mark the moments when the analysis changed production.

0 20 40 60 80 v1 · launch v2 · new hook v3 · new segment 71 Week 1 Week 14

v1 · launch

General pieces for the whole base.

v2 · new hook

The model showed an early drop-off: the opening was redone.

v3 · new segment

A high-ticket group appeared: pieces made just for them.

05 · Data assessment

The first
deliverable.

The real state of your data, measured on four fronts. It can be hired on its own and is the entry point to the rest of the service.

40% Governance
65% Architecture
55% Data quality
30% Measurement

Sample data

Conversation report with indicators, sentiment and a priority complaint
06 · Conversation analysis

What your
customers say.

Your brand's conversations on WhatsApp and Instagram are data too. We turn them into clear information to decide what to sell, what to improve and what to communicate.

  • Dashboard with the indicators of your chats
  • Frequent questions and complaints, sorted by topic
  • Alerts to handle the most serious complaints first
  • Post ideas based on what customers ask
  • Easy-to-read weekly or monthly reports
See the service →
Who does it

Analytics and production
in the same hands.

Analytics is not an add-on: it is the team's core training. That is why the campaign and the production come from the same analysis.

Team member presenting on stage with the slides projected.
On stageAnalytics and production in the same hands, from start to finish.
Team member giving a data analytics talk.
TrainingWe give analytics talks and workshops for companies and universities.
Reviewing a database on a laptop during a work session.
On the real databaseCleaning, models and segmentation on the client's data, not on an exercise.

Master's in Business Analytics

Graduate training in business analytics, applied to real commercial decisions.

CRM analytics and BI

Professional experience in customer analytics, recommendation systems and executive reporting.

Models and segmentation

Cleaning, modeling and machine learning applied to customer databases, not classroom exercises.

In-house production

The same team directs, shoots and edits: the insight is not lost along the way.

Universidad San Francisco de QuitoData Club USFQ

Trained at USFQ. Founders of the Data Club.

Marketing, Finance and a minor in Data Analytics, plus the Master's in Business Analytics, all at Universidad San Francisco de Quito, where we also founded the university's data analytics club.

@datausfq ↗
Full auditorium during a data analysis talk.

The same team that teaches data analysis produces your campaign.

To get started

What we need
from you.

No new platforms needed: we work with the systems your company already uses.

01

Read access

Sales or CRM, even if it is a monthly Excel export.

02

A business goal

Which product to move, which customer to win back, which month to lift.

03

A previous campaign

To compare against something and show the tracking.

Let's talk

about your data. We schedule a meeting and review where to start.

The figures in the charts on this page are illustrative examples, not client results.

Write to us