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What it delivers

What was missing — an anticipatory barometer, specific to Clusters

Comparison

Comparison with existing tools

Tool What it does What it cannot do
Financial KPIs
Sales, margin, like-for-like		 Confirms what happened Does not anticipate, does not localize
National indices
GfK, national statistics, Eurobarometer		 Describes the average consumer Does not describe your own customer
Ad-hoc research
Focus groups, U&A surveys		 Provides depth Too slow and costly for monthly use
ISCR EXTINS Anticipates 4-8 weeks ahead, localizes per Cluster, is monthly and actionable Does not replace the others — it complements them

The process

The Complete ISCR Cycle

1

Detection

Sentiment deterioration appears in CA and CO 4-8 weeks before the financial impact.

2

Localization

Which Cluster? Which format? Which geographic area? Surgical intervention, not a uniform one.

3

Response

Playbook activated on the detected scenario, calibrated on the real ISCR per Cluster.

4

Learning

The managed crisis cycle produces data for resilience against the next wave.

Perspective

Behavioral scars

A crisis does not end when it ends. Customer behavior after a prolonged crisis does not revert to its previous form — it reconfigures permanently.

Down-trading that becomes habit

40-60% of brand switches made during a crisis remain permanent. A customer who discovered private label no longer has reason to return to the premium brand.

Multi-store shopping

The customer has learned to optimize. Wallet share is no longer guaranteed by proximity — it must be re-earned at every visit.

Persistent price sensitivity

A customer who went through a period of budget compression permanently recalibrates their reference frame for what a "fair price" is.

Classical tools detect these scars with a 2-6 month lag. ISCR detects them in real time — on your own customers, differentiated by Cluster.

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Frequently asked questions about what ISCR delivers

ISCR detects deterioration in own-customer sentiment 4–8 weeks before the effect becomes visible in sales or financial indicators. This is due to the attitudinal (CA) and observational (CO) components capturing early behavioral signals — a drop in visit intention, increasing negative price comments — before they materialize in transactional data.

Behavioral scars are permanent changes in customer behavior following prolonged crises: 40–60% of brand migrations made during a crisis remain permanent (down-trading becomes a habit); the customer has learned to optimize purchases across multiple stores; price sensitivity permanently recalibrates. ISCR detects them in real time — unlike classic tools that identify them 2–6 months later.

Ad-hoc research (focus groups, U&A surveys) offers depth — but is too slow and costly for monthly use. An ad-hoc study takes 4–8 weeks; by the time results are available, the network situation has changed. ISCR produces a calibrated monthly signal per Cluster, using data already existing in the network's systems (POS, loyalty). It does not replace deep research — it complements it with frequency and granularity.

The ISCR complete cycle has 4 stages: (1) Detection — sentiment deterioration appears in CA/CO 4–8 weeks before financial impact; (2) Localization — which Cluster is entering crisis and which is not; (3) Response — playbook activated on the detected scenario and Cluster; (4) Learning — each managed crisis produces structured data for resilience to the next wave. Each crisis managed with ISCR improves the response capacity to the next.