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Platform · Business intelligence

What knowledge earns.

ToldUntold transforms brand and product knowledge into measurable impact.

By connecting content engagement with business performance, you see not just what your teams know, but what that knowledge earns.

Read the studySee the map

Business Intelligence

Prove the return on training.

Cross-lag correlation analysis links training activity to sales outcomes. You see not just who completed the training, but how completion moved the numbers in the following weeks, store by store, product by product.

The content impact index reveals which specific programs drive the most commercial results. Justify budget allocation with data, not intuition. Training is no longer a cost centre. It is a revenue driver you can measure.

  1. 1Cross-lag correlation: when and how much training moves sales, from three months before to six months after.
  2. 2Content impact index: which programs drive commercial results, not just engagement.
  3. 3Sales uplift attribution: trained versus untrained stores, seasonality neutralised.
The study behind the method

Incremental business

What to push, and what it could earn.

Because content is linked back to the products it covers, the platform can read, store by store, how a product's content performs and how that product sells.

This screen puts that reading on a map. Pick a region and you see the stores inside it, the content worth pushing there, and an estimate of the incremental business a push could generate.

A region opened on the map: its stores, the content suggested for them, and the estimated incremental business of a push.
Demonstration data
  1. 1Regions and their stores
  2. 2Content to push in a region
  3. 3Estimated incremental business

The Knowledge–Performance Link

Trained stores sell more.

We cross-referenced granular learning data with store-level sales performance across three Maisons, over 6 to 12 months, to isolate the variables that separate effective training from expensive noise.

+4.9 pts
sales growth, trained stores versus untrained
KPL study, 2025
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The method

Each store's learning engagement is matched against its own year-over-year sales change. No aggregation hides underperformers.

Year-over-year comparison eliminates seasonality. Pre-deployment baselines confirm engagement groups were comparable before launch.

Pearson correlation, Granger causality, multivariate regression with R² decomposition. Full methodology in the white paper.

What it does not prove

That training caused the difference. The study measures an association with a dose-response pattern consistent with a causal relationship — not a proof of causation.

The data behind the impact

Measured, not claimed.

91 %
of team members completed their entire learning journey
+4.9 pts
sales growth, trained stores versus untrained
4–6 wks
from training to measurable sales impact

Knowledge–Performance Link study, 2025 · 3 maisons, 1,850 advisors, 275 points of sale.

Read the study

Trend analysis

Which content is rising, and which has stalled.

Some episodes take off the week they land; others sit unwatched. The analytics show which is which: engagement, completion and quiz scores for every episode and program, by category, by market, and over time.

The floor adds its own signal. What advisors search for, and the questions they put to TU Agent, are demand you can read before it turns into a knowledge gap.

Both feed the same two decisions: what to produce next, and what to push to whom, as a line in the feed or as an objective for the stores concerned.

  • Engagement, completion and quiz scores, over time
  • By episode, program, category and market
  • Searches and TU Agent questions, read as demand

Atlas

Atlas, the map of what your teams know.

One map of knowledge across the maison: every module, every market, every store, down to the individual advisor.

Coverage reads by product line as well as by market, so you see where knowledge runs thin, line by line. From there, a gap on the map becomes an action: a reminder sent to the advisors who are behind, or an objective set for the stores concerned.

  • Coverage by market, store and product line
  • Gaps ranked by commercial weight
  • From the map to a nudge, in one gesture

Developers

Your data, open.

The ToldUntold Client API is a server-to-server REST API for your PIM, ERP, OMS, BI warehouse or HRIS. Scoped keys, flat JSON errors, predictable pagination, idempotent writes. You won't need an OAuth flow or an SDK.

Pull learning analytics into your BI warehouse or HRIS: daily brand aggregates, per-content metrics and pseudonymised per-user rows, complete up to the previous day every morning.

  • Catalog — 27 endpoints, read & write
  • Analytics — 5 endpoints, read-only
  • OpenAPI 3.1 contracts, Postman collections
The developer portal

Next chapter

Visual merchandising

From a gap on the map to a mission in the window.

The studySpecifications
Training. Intelligence. Content Production. Visual Merchandising. AI. One platform built for retail performance.
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