Executive Feasibility Pack · 28 June 2026

The Sixth.

Nine Elms customer, footfall and recurring revenue opportunity.

Nine Elms presents a credible customer market fit for a premium but approachable coffee and wellness proposition. The current evidence supports progressing to a measured site validation stage. It does not yet support an unconditional investment decision because route level pedestrian capture, premises visibility, class capacity and unit economics remain unverified.

33
Avg resident age
13,290
Avg weekday station movements
+74%
Ward population 2025–2035
53
Mapped competitors within ~800m
Location
51.480250, –0.130833 · adj. Nine Elms station
Concept
Speciality coffee · healthy food · reformer Pilates · short stay work
Catchments
~400m (5 min) and ~800m (10 min)
Prepared for
Executive review

01 · Decision

Executive summary

The resident base is young, highly educated, internationally diverse and exposed to premium housing costs. Station movements are meaningful, the ward is forecast to expand rapidly and local reformer pricing demonstrates willingness to pay for boutique fitness.

The opportunity is not a simple coffee shop gap. Coffee competition is already dense and Pilates is established. The strongest strategic case is the integrated proposition: quality coffee, healthy food, reformer Pilates, useful short stay workspace and community programming in one habit forming destination.

What must be true for the concept to work

  • The unit sits on a natural residential to station route, not merely close to the station.
  • The storefront is visible early enough for a low friction commuter purchase decision.
  • The café achieves attachment beyond coffee only purchases — basket close to the £7 planning case.
  • Reformer utilisation supports instructor and premises costs without overcrowding.
  • The combined offer creates repeat routines rather than one off destination visits.

Investment stance

Decision areaCurrent viewExecutive implication
Customer market fitPositiveYoung, professional, internationally diverse audience aligns with coffee, wellness and convenience.
Long term growthPositiveWard population projected to rise from 7,392 (2025) to 12,864 (2035).
Station led demandPromising but unprovenStrong movement volumes; only route level counts can establish addressable footfall.
Competitive intensityHighA standard café proposition is unlikely to be sufficiently differentiated.
Membership potentialCredibleLocal pricing supports premium reformer spend; capacity economics not yet known.

02 · Demand

Customer base & spending power

Average resident age 33 is well aligned with commuter, hybrid working, boutique fitness and premium convenience demand. The high share of never married residents is consistent with a young professional, apartment living population where out of home coffee, food and fitness routines take a larger share of discretionary spend.

Only 44% of residents are UK born, while 69% have lived locally for 3+ years — an internationally diverse market with enough stability to support loyalty and memberships. 92% of non students hold at least five GCSE/O level equivalents. Financial services is the most common industry and higher managerial work the typical work level.

Affluence indicatorEvidenceInterpretation
Average sale price£918,348 (last 12 months)Strong premium residential signal; all reported sales were apartments.
Average monthly rent£2,599High housing cost environment with pockets of strong income.
National rent comparison+124.8% vs national averageSupports premium positioning, but housing costs can constrain disposable income.
Sale sample83 transactionsUseful directional evidence, sensitive to transaction mix.
2025 residents
7,392
2035 projection
12,864 +74%

Wandsworth JSNA / GLA housing led projection. The wider VNEB Opportunity Area identifies capacity for 18,500 new homes and 18,500 new jobs by 2041.

Priority customer segments

#SegmentNeedCommercial role
1Young professionals & commutersFast coffee, breakfast, convenienceHigh frequency weekday transactions
2Affluent local residentsPremium local routine and wellnessRepeat café spend and memberships
3Pilates / boutique-fitness usersClass, recovery, protein, smoothieCross sell and recurring revenue
4Hybrid & remote workersShort work stay, coffee, lunchOff peak dwell and higher basket
5Local office workersMorning coffee and lunchConcentrated weekday peaks
6International residentsQuality, variety, inclusive menuBroad all day demand
7StudentsAffordable coffee and workspaceSecondary off peak
8Parents & familiesDaytime convenience and communitySupplementary daytime demand

03 · Footfall

Station demand

86,995
Total weekly entry + exit movements
13,290
Avg weekday movements
10,274
Avg weekend day movements
2,299
Tuesday entries 07:00–10:00
32.7%
Tue morning share of daily entries
≠ unique
A tap is not a unique customer
DayEntriesExitsTotal
Sunday4,9694,8249,793
Monday6,1936,00412,197
Tuesday7,0326,73313,765
Wednesday7,0496,68613,735
Thursday7,0656,60113,666
Friday6,7296,35613,085
Saturday5,5295,22510,754
  • Morning entries are commercially relevant only where the café is encountered before the gateline.
  • Entries and exits can be the same person on different legs; weekly totals are not unique people.
  • TfL NUMBAT / Annual Counts are typical day outputs, not actual observed counts per calendar day.
  • Tue–Thu typically represents the strongest rail demand pattern; Friday & weekends differ materially.

04 · Modelling

Conversion logic & incremental sales

The base case applies sequential filters to Tuesday's 2,299 morning entries: 30% on route, 80% notice/can access the frontage, 60% in a relevant coffee/breakfast need state, 4% of that qualified group purchase.

ScenarioRouteVisibleRelevantFinal conv.Purch/dayOverall conv.Annual @ £7
Conservative20%60%50%2%2.80.12%£4,828
Base case30%80%60%4%13.20.58%£23,174
Upside40%90%70%6%34.81.51%£60,832

05 · Recurring revenue

Membership sensitivity

Local reformer pricing demonstrates an established premium market. Ten Health & Fitness lists £110 (4 classes) to £270 (12 classes) per month — class economics broadly £22.50–£27.50. Studio Pilates Nine Elms lists a 10 class pass at £260 and 25 classes at £600.

BenchmarkPrice≈ per classRole
Ten — 4 classes/mo£110£27.50Low frequency anchor
Ten — 7 classes/mo£169£24.14Mid tier anchor
Ten — 10 classes/mo£235£23.50Higher frequency anchor
Ten — 12 classes/mo£270£22.50High frequency anchor
Studio Pilates — 10 pass£260£26.00Local pass benchmark
Studio Pilates — 25 pass£600£24.00Volume pass benchmark

Illustrative sensitivity: £150/month avg fitness yield · 6 visits/mo · 40% attach a £6.50 F&B purchase → £15.60 member café spend per month.

Active membersFitness rev/moMember F&B/moCombined/moAnnualised
50£7,500£780£8,280£99,360
100£15,000£1,560£16,560£198,720
150£22,500£2,340£24,840£298,080

KPIs to monitor

  • Class occupancy — determines whether scheduled capacity is monetised.
  • Revenue per available reformer hour — normalises for room size & timetable.
  • Trial to member conversion — does introductory demand become recurring revenue.
  • Monthly churn / retention — small changes materially alter lifetime value.
  • Member café attachment — measures integrated concept value creation.
  • Contribution margin per member — gross revenue can conceal loss making utilisation.

06 · Competition

Competition & local map

68
Businesses in mapped competitor dataset
25
Within ~400m
53
Within ~800m
~20
Coffee within ~800m
~20
Boutique fitness within ~800m
1
Dedicated coworking listing

Source: Google Places competitor mapping centred on 51.480250, –0.130833. Straight line distances.

CategoryEvidenceImplication
CoffeeSendero ~132m, Starbucks ~183m, District ~273m, Black Sheep ~400m, Black Cab ~468m.A conventional coffee proposition is exposed to high substitution.
PilatesTen Health ~363m, Studio Pilates ~397m, RE:SCULPT ~482m.Demand proven, but not an uncontested gap.
Healthy foodNine mapped operators; Atis Battersea ~449m benchmark.Needs strong point of difference and operational consistency.
CoworkingOnly one dedicated listing (~288m).Short stay work may differentiate; avoid low spend all day desks.

07 · Operating model

Dayparts & customer journeys

DaypartCore customerJourneyFocusRisk
06:30–09:30Commuters & pre work fitnessPilates → protein breakfast → coffee → stationSpeed, preorder, attachmentQueue / frontage friction
09:30–12:00Hybrid workers & residentsCoffee → short work stay → second drinkDwell with seat economicsLaptop occupancy, low spend
12:00–14:30Office workers & residentsQuick healthy lunch / takeawayFood throughput, corporate awarenessWeak office density
14:30–17:00Parents, freelancers, residentsCoffee, snack, informal meetingOff peak activationLow urgency, lower conversion
17:00–20:30After work fitness & residentsReformer → smoothie / light mealMembership utilisation, cross sellClass capacity bottlenecks
WeekendResidents, families, destinationBrunch, class, community eventHigher basket, discoveryLower station flow

08 · Synthesis

Integrated commercial assessment

PillarFindingEffectRating
Customer baseYoung, educated, international, stable.Supports premium coffee, food, memberships, community.Strong
Spending powerPremium sale & rent; financial services / managerial.Supports willingness to pay; caution against overpricing.Strong / mixed
Population growthWard +74% by 2035.Long term upside and first mover loyalty.Strong
Footfall~13,290 avg weekday station movements.Large top of funnel; not addressable count.Promising
ConversionBase ~13 incremental morning transactions.Useful contribution, not full store economics.Unproven
CompetitionDense coffee & established Pilates.Requires clear integrated differentiation.Challenging
MembershipLocal pricing supports £20+ class economics.Recurring revenue plausible; capacity must be modelled.Promising

Strengths

Strong demographic fit · rapid local growth · meaningful station movement · proven boutique fitness pricing · integrated concept potential.

Weaknesses

No frontage count · no exact walk catchment population · no unit P&L · high coffee density · operational complexity across café + fitness.

Opportunities

Own the combined pre/post workout journey · acquire residents as district matures · memberships & corporate partnerships · selective off peak workspace.

Threats

Incumbent cafés & studios · rent and labour pressure · low capture if route is wrong · member churn · overestimation of occupancy or station uniqueness.

09 · Live data

Power BI report

Interactive dashboard — station flow, competitor distribution and catchment indicators.

Open in Power BI ↗

10 · Next steps

Limitations & validation plan

EvidenceConfidenceReason
Station daily totalsMedium-highTfL typical day data; not live observed pedestrian flow at the unit.
Tuesday morning entriesMedium-highGranular station output; still needs route/frontage translation.
Competitor locationsMediumGoogle Places snapshot; classification & search limits affect completeness.
Demographic proportionsMediumUseful summary; boundary & census timing may not match walk catchment.
Ward population growthMedium-highOfficial projection; dependent on delivery & occupancy of pipeline.
Conversion scenariosLow until field testedTransparent assumptions rather than observed behaviour.
Membership revenueLow until P&L builtGross revenue sensitivity; excludes cost, VAT, churn, utilisation.

Principal limitations

  • 'Nine Elms' has multiple boundary definitions — none precisely equals the 5/10 minute walk from the unit.
  • Census data is rooted in 2021; the area has developed materially since.
  • Station data is not frontage footfall — direction, visibility, weather and queue tolerance unknown.
  • Taps are not unique people; do not sum into a weekly unique customer pool.
  • Property values ≠ disposable income; investor ownership, voids and rent burdens vary.
  • Planned homes/jobs ≠ completed and occupied homes/jobs.
  • Revenue scenarios exclude operating costs and must not be presented as profit.

Validation workstreams before commitment

WorkstreamMinimum actionDecision output
Frontage counts07:00–10:00, 12:00–14:30, 17:00–20:00 on Tue–Thu, Fri, weekend.Addressable flow by direction & daypart
Route studyMap station entrance, crossings, homes, offices, desire lines.True route share past the unit
Customer interceptSurvey coffee, breakfast, fitness frequency, spend, unmet need.Intent & price evidence
Catchment demographicsONS/GLA profiles within walk network polygons.Resident market size
Occupancy & pipelineList occupied homes and operational office floorspace.Current vs future demand
Pilates capacity modelModel reformers, timetable, occupancy, instructor cost, churn.Member break even & capacity
Café unit economicsModel transactions, basket mix, margin, labour, rent, VAT.Store break even & cash need
Presale / pilotTest founding memberships and café demand via local activation.Observed conversion before fit out

11 · Sources

Sources & methodology

SourceApplication
TfL Open Data — NUMBAT & Annual Counts ↗Definitions, typical day methodology, 15 min outputs, caveats.
Wandsworth JSNA — People ↗Nine Elms ward 2025–2035 population projection.
City Population — Nine Elms ward ↗Ward population, density and boundary context.
GLA — VNEB Opportunity Area ↗Housing & job capacity and completions.
Propertistics — Demographics ↗Age, marital status, education, residency indicators.
Propertistics — Sale & Rent ↗12 month avg sale price, transactions, rent.
Ten Health — Reformer prices ↗Local premium membership & class benchmarks.
Studio Pilates Nine Elms ↗Local class pass benchmark.
  • 5 and 10 minute catchments represented as ~400m / ~800m; future work should use walk network polygons accounting for Thames & rail barriers.
  • Annual morning channel revenue uses 250 weekdays as a planning convention.
  • £7 basket is a scenario figure, not an observed ATV.