Alcohol-free beer and pet grooming used to measure inflation

ONS added 27 items and removed 19, leaving 760 products in the CPI basket — additions include non-alcoholic beer, houmous, motorhomes, dashcams and pet grooming. The ONS will use supermarket scanner data for >50% of the grocery market, replacing thousands of manual price collects with millions of till-recorded prices. Latest CPI was 3% (Jan) versus a 2% government target; forecasters now see reaching 2% by year-end far less likely and expect inflation to remain closer to ~3% amid fallout from the war in Iran.

Analysis

The shift in how consumption is captured is a measurement shock as much as a consumption shock. Moving from sparse price snapshots to broad transactional feeds will materially compress sampling error and change month-to-month noise characteristics: expect measured monthly volatility to fall by a noticeable fraction while trend-level biases driven by weight churn and substitution become more visible. Quantitatively, a persistent weight drift of even 3–5% across categories can move annual headline CPI by roughly ±0.2–0.4 percentage points once fully reflected in indices and indexation mechanisms.

Data availability creates a new commercial moat for participants who can operationalize fine-grained price signals. Firms that own POS or card-level flows can monetize earlier signals for dynamic pricing, inventory optimization, and targeted promotions — a 1–3% margin tailwind is plausible for high-leverage retailers over 6–18 months if executed well. Conversely, producers and branded packaged-goods firms face faster pass-through of retailer price-set decisions and will be more exposed to promotional volatility and category displacement, compressing long-run pricing power.

For macro markets, the key channel is policy timing. If headline measurement becomes stickier or noisier in a persistent direction, central banks’ path for rate cuts shifts materially and real yields reprice. Tail risks include rapid re-benchmarking of index weights that forces fiscal and welfare re-indexation (political feedback loop) or systematic hedonic mismatches that transiently over- or under-state inflation by a few tenths — both can move fixed-income and inflation-linked securities by multiples over 3–12 months. The market likely underestimates the asymmetry: small measurement shifts can generate outsized repricing in duration-sensitive assets because they affect both expectations and steepness of the policy path.

Key Decisions for Investors

• Long payment-network/data-owners: MA / V — 6–18 month horizon. Rationale: capture monetisation of richer spend signals and higher take-rates on merchant services. Target upside 15–25% vs potential 12–18% drawdown if consumer activity weakens; size 2–4% portfolio.
• Pair trade: long large-cap grocers (TSCO.L) / short packaged-goods leader (ULVR.L) — 3–12 month horizon. Rationale: grocers can extract dynamic-pricing and category insights, branded packers face margin squeeze. Target 18–22% relative upside; stop-loss if pair diverges >15% adverse.
• Long select analytics/information providers (RELX.L) — 12–24 month horizon. Rationale: B2B data & analytics to retail clients gains pricing power as clients pay for SKU-level insights. Expected 20%+ upside with limited downside vs cyclicality risk; position size 1–3%.
• Directional rates trade: short UK 10y gilts via futures (or buy payer swaptions) — 3–12 month horizon. Rationale: delayed policy easing or stickier measured inflation will steepen/raise nominal yields. Risk: geopolitical or disinflation surprises that force yield compression; risk/reward asymmetric — size conservatively and ladder expiries to 3, 6, 12 months.