Rising oil prices trigger first shifts towards discounters in German grocery retail
Following the recent rise in oil and gas prices after the conflict involving Iran, German grocery retail is already showing measurable behavioural change. Accurat analysed supermarket visits across Germany between week 9 of 2026 — the last full week before the conflict — and week 12 of 2026, the most recently completed week, with results available just two days after week 12 ended.
The data shows an early shift towards discount grocery formats, while several non-discounters lost visit share over the same period.
Discounters benefit as non-discounters lose ground
Between week 9 and week 12, ALDI Nord and ALDI Süd recorded the clearest gains in national visit share. Netto Marken-Discount and Penny — Germany’s other major discount supermarket banners in this analysis — also strengthened their position during the same period.
At the same time, REWE showed the clearest decline, while Edeka, Kaufland and Edeka Center also moved downward.
Within the discount segment, Lidl remained broadly stable. Unlike the other major discounters, it did not capture the same upward movement in visit share during the period.
Taken together, the first visible behavioural response to higher fuel and energy prices appears to favour selected discount formats, particularly the Aldi banners.
Visit transfers confirm movement away from non-discounters
The visit transfer analysis between week 9 and week 12 shows that much of this shift comes directly from non-discounters.
The strongest competitive transfers were directed towards ALDI Süd and ALDI Nord, with visits moving from REWE, Edeka, Kaufland, Norma and Edeka Center towards the two Aldi banners. Netto Marken-Discount also gained visits from several competitors, while Penny captured smaller but visible flows.
Even within the discount segment, Lidl lost visits to both ALDI Süd and ALDI Nord, reinforcing the stronger momentum of the Aldi banners during the period.
The transfer patterns show that the Aldi banners captured the strongest competitive momentum during these weeks.
Growth is driven by more visitors, not higher frequency
The frequency analysis shows limited change across retailers.
Average visit frequency remained stable for ALDI Nord and ALDI Süd, while most other chains recorded slight declines by week 12. Netto Marken-Discount and Penny also remained relatively stable, whereas REWE, Edeka, Kaufland and Lidl showed lower frequency than in week 9.
The stronger signal comes from the fraction of visitors, which shows how many individual shoppers visited a retailer during the period, regardless of how often they returned.
Both Aldi banners increased their share of unique visitors, indicating that more shoppers entered these chains during the period. REWE, Edeka, Kaufland and Lidl all saw lower visitor reach compared with week 9.
This suggests that the shift is primarily driven by new visitor inflow into selected discounters, rather than stronger repeat behaviour.
Early cost sensitivity becomes visible in grocery retail
Oil and gas prices influence household expectations quickly, even before broader inflation effects become fully visible in store pricing.
The data suggests that German consumers are already reacting to higher expected household costs by shifting part of their grocery behaviour towards lower-price formats.
Macroeconomic shocks often act as a stress test for established grocery shopping routines. When households face rising uncertainty, retail choices can shift quickly towards formats perceived as safer from a budget perspective.
What this means for grocery competition in Germany
Three structural observations stand out:
- ALDI Nord, ALDI Süd, Netto Marken-Discount and Penny gained visit share
- Several non-discounters — especially REWE and Edeka — lost visits to discounters
- Lidl remained stable but did not benefit to the same extent as other discount banners
The analysis shows how quickly macroeconomic developments can translate into measurable retail behaviour — and how rapidly those shifts can be observed through behavioural data.