Kundenabwanderung durch komplizierte Einlösung und geringe wahrgenommene Vorteile
Definition
Research on Australasian retail loyalty shows that program membership is extremely high (around 97%), but influence on purchasing is uneven: about 70% of consumers say loyalty programs affect their purchasing decisions, while barriers such as insufficient reward value, slow point accumulation and inadequate savings reduce engagement.[2] Statista similarly notes that in 2025 about 90% of Australians were enrolled in at least one loyalty program, but only around half of members reported regular use.[4] In grocery, where loyalty is highest but consumers can easily switch between Coles, Woolworths and discounters, friction in earn and redemption directly drives basket migration. If half of enrolled members are inactive or lightly active and just 5–10% of those shift a portion of their grocery budget (e.g. AUD 10–20 per week) to a rival, the resulting churn equals roughly 1–2% of loyalty members’ total spend. For a chain with AUD 20b in grocery sales and, say, 60% of that meaningfully influenced by loyalty, a 1–2% churn represents AUD 120–240m in at‑risk revenue (logic estimate). Even recovering a fraction of this through process optimisation is highly material.
Key Findings
- Financial Impact: Logic estimate: 1–2% churn on loyalty‑influenced revenue; for ≈ AUD 12b of loyalty‑influenced sales in a large chain, ≈ AUD 120–240m in revenue at risk annually due to friction and low perceived value in redemption.
- Frequency: Chronic; intensified during cost‑of‑living pressure when consumers are very sensitive to perceived savings and ease of use.
- Root Cause: Overly complex earn/burn structures, non‑intuitive digital journeys, delayed visibility of savings, and lack of real‑time, personalised offers aligned with customer needs.
Why This Matters
The Pitch: Australian grocery retailers lose 1–2% of active member spend when friction in loyalty redemption pushes shoppers to rival supermarkets or discounters. Streamlining digital redemption, increasing transparency of savings and using AI for relevant offers can defend tens of millions of AUD in annual revenue.
Affected Stakeholders
Chief Customer Officer, Head of Loyalty, Digital Product Manager (Apps), Store Operations, CFO / Revenue Management
Deep Analysis (Premium)
Financial Impact
Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.
Current Workarounds
Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.
Get Solutions for This Problem
Full report with actionable solutions
- Solutions for this specific pain
- Solutions for all 15 industry pains
- Where to find first clients
- Pricing & launch costs
Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Umsatzverlust durch ineffiziente Punkteverfall- und Einlösepolitik
Kosten durch Kundenbeschwerden und Entschädigungen bei irreführenden Treueangeboten
Betrug und Missbrauch von Treuepunkten im Lebensmitteleinzelhandel
Fehlentscheidungen durch unzureichende Datennutzung im Treueprogramm
Langsame Kassenabstimmung und Warteschlangen
Fehlbuchungen und nicht erfasste Barumsätze
Request Deep Analysis
🇦🇺 Be first to access this market's intelligence