Science in Sport
Brand Document 4 of 5
SIS-INTELLIGENCE
17 Aug 2026PPTX
Topic BRAND
Owner michael@cotngroup.com
File Type PPTX
Last Modified 17 Aug 2026
Source Google Drive · Verified
Document 04 of 05
BRAND

SIS-INTELLIGENCE

Deep analysis of the current customer base — buying patterns, demographics, market intelligence and gap report.

File Type
PPTX
Owner
michael@cotngroup.com
Last Modified
17 Aug 2026
Topic
BRAND
The Agenda — Intelligence, Transform & Run

Intelligence — Deep analysis of the current customer base: buying patterns (frequency, recency, AOV), demographics and situational mapping, plus market intelligence & gap report.

Transform — Defining Brand DNA & Customer Segmentation: refining voice, psychographics, segment profiling.

Run — 12-Month Roadmap & Key Initiatives: strategic timeline, core initiatives.

Executive Summary: Peer Benchmarks — The Wallet Share Story
MetricValue
SiS Avg Annual Spend£35–£107
Industry Annual Benchmark£480
Wallet Share Captured7.3%–23%

SiS is capturing a fraction of what each customer could realistically spend annually in this category through their DTC programme.

Eight headline findings:

  1. The base is 79% Lost. The acquisition engine has been feeding a leaking base.
  2. The gap between lifetime loyalty and LTV is a belief problem, not a product problem.
  3. The first-to-second purchase window closes at day 35 — currently averaging 425 days.
  4. Customers are currently one and done; there is a huge habit x replenishment opportunity.
  5. Day-of-Week Pattern: Monday and Sunday dominate. Early-week buying outpaces Friday and Saturday by nearly 50%.
  6. Income Is Not the Barrier: 73% of the customer base is mid-income.
  7. Seasonal Peak: March is the single biggest month. January–March generates almost double the order volume of October–December.
  8. Science as the Differentiator, Not Price: the brand's scientific authority is the competitive moat. Discount trains customers to wait; science trains them to trust.
Key Growth Opportunities
InitiativeMechanismConservative Uplift
Replenishment Flow (Day 25–35)1,687 customers in window today × £75 AOV × 12 months, with improving capture rate+£1.2M–£2.4M annual
Abandoned Basket RecoveryThree segment variants vs current single-variant+6–12% abandoned basket CVR
Champions Tier Subscription Conversion5% subscription conversion on 24,540 Champions × £143 AOV × 12 replenishments+£1.8M–£2.1M recurring
Email Retention — Active Mid-TierPersonalised replenishment sequence vs broadcast calendar+10%–18% repeat rate
Champions Cohort GrowthActive Mid-Tier belief architecture pushing 4th-order conversion+15%–25% Champions cohort size YoY
D2C LTV Growth (Full Base)All flows combined effect on average LTV across non-Champions segments+14%–25% average LTV growth
The Headline DTC Dashboard
MetricNumberWhat It Means
Total Customers204,496100% have purchase history
Total Revenue£22,386,733All from buyers
Avg Spend Per Buyer (Lifetime)£107One transaction. Then silence.
Avg Order Value£50.51Mid-range basket
Avg Orders Per Buyer1.5The core problem in one number
Champions Segment24,54012% of base — the only healthy cohort
At Risk & Drifting61,34930% — recency gap opening, churn watch
Dormant & Cold57,25928% — long lapsed or never converted
In Purchase Window Today1,687Ready to buy. Message them.
Uncaptured Wallet (total)£75,771,00023% wallet share captured vs 100% possible
Wallet Gap Per Customer£371SiS captures £107 avg per annum · industry benchmark £480/yr
Segment Analysis — The Four Segments
SegmentNumber% of BaseAvg LTVAvg AOVAvg OrdersRecencyChurn Safety
Champions24,54012%£630£1435.2x228d ago31/100
Active Mid-Tier61,34830%£77£751x425d ago6/100
At Risk & Drifting61,34930%£26£261x470d ago1/100
Dormant & Cold57,25928%£11£111x539d ago0/100

Total customers: 204,496

Revenue Breakdown
SegmentApprox. Revenue
Champions£15,460,000
Active Mid-Tier£4,724,000
At Risk & Drifting£1,595,000
Dormant & Cold£630,000

The Key Insight: 24,540 Champions — 12% of the base — are generating approximately 69% of total revenue. The remaining 179,956 customers generate the other 31% between them.

The One and Done Challenge: the average customer buys once, and disappears — even though the product they bought runs out every 28–30 days. The brand is winning the first sale and losing every sale after it.

Revenue Spread
Spend BandNumber of Customers
Under £75~40,000+
£75–£1504,358
£150–£3503,361
£350–£8001,994
£800+1,226

The £800+ cohort — genuine replenishment habit — is 1,226 out of 204,496. That is 0.6% of the base.

Order Value BandNumber of Orders
Under £25~27,000+
£25–£5515,000
£55–£1208,834
£120–£2403,689
£240+1,074

This is not an AOV problem — it is a frequency problem. The base is placing small, single-serve orders rather than building the bulk, planned purchase habit the category supports.

THEME 2 — The Ticking Clock: Churn & The 35-Day Window

There is a 35-day window after a first purchase. Inside that window, a gel supply, protein tub, or electrolyte pack runs out and needs reordering. If nothing happens before day 35, the customer is statistically unlikely to come back. The data shows that window is being missed almost universally.

Churn Safety by Segment
SegmentCustomersChurn Safety ScoreWhat It Means
Champions24,54031/100High risk — even the best cohort is not secure
Active Mid-Tier61,3486/100Deep lapse territory · 425d avg recency
At Risk & Drifting61,3491/100Deep lapse territory · 470d avg recency
Dormant & Cold57,2590/100Gone · 539d avg recency

58% of the base (At Risk & Drifting + Dormant & Cold = 118,608 customers) has a Churn Safety score of 1 or below. The Champions segment itself — the healthiest cohort — only scores 31/100. There is no segment in this base that is genuinely secure.

Churn Risk Model
Risk CategoryNumber% of Scoreable Cohort
High Risk47,36993%
At Risk2,6965%
Watch1,0592%
Healthy00%

Wallet at Stake: £7.2M recoverable from the high-risk cohort · £67.3M total wallet gap across all non-Champions · £331 average uncaptured per non-Champion customer.

The Action: build an automated sequence that fires at day 25–35 post-purchase for every first-time buyer. Not a generic email — a direct, product-specific "your supply is running low" message tied to exactly what they bought, landing before day 45.

Segment Profiles

Champions — 24,540 customers · 12% of base

Value Score 63/100 · LTV Rank 93rd percentile · Avg LTV £630 · Avg AOV £143 · Avg Orders 5.2x · Recency 228d ago · Churn Safety 31/100 · Buying Mindset Full Price · Peak Season Winter · Top Region London · Psyche Type The Drifter.

These are the highest-value customers — the ones who already know why they come back. Most fall into the Drifter profile: they buy with intent, not impulse. They are brand believers, not bargain hunters. Action: loyalty rewards, early access, identity content. Subscription or auto-replenishment offer. Never lead with discount.

Active Mid-Tier — 61,348 customers · 30% of base

Value Score 35/100 · LTV Rank 71st percentile · Avg LTV £77 · Avg AOV £75 · Avg Orders 1x · Recency 425d ago · Churn Safety 6/100 · Buying Mindset Discount Aware · Peak Season Spring · Psyche Type The Trialler.

Growing customers whose purchase frequency sits mid-distribution. LTV of £77 across 1 order at £75 AOV sits in the upper percentile of the database, suggesting genuine intent. But at 425 days average recency, these customers are already in deep lapse territory. Action: personalised retention sequence, segment-specific content, recency-triggered cadence.

At Risk & Drifting — 61,349 customers · 30% of base

Value Score 22/100 · LTV Rank 44th percentile · Avg LTV £26 · Avg AOV £26 · Avg Orders 1x · Recency 470d ago · Churn Safety 1/100 · Buying Mindset Discount Hunter · Peak Season Spring · Psyche Type The Trialler, High Impulse.

Occasional buyers, Trialler-dominant. High Impulse (68/100) means they move fast and price-compare extensively. Cart urgency and scarcity signals work, but they are discount-responsive — anchor pricing carefully. Action: personalised retention sequence, second-purchase trigger, social proof not discount.

Dormant & Cold — 57,259 customers · 28% of base

Value Score 12/100 · LTV Rank 15th percentile · Avg LTV £11 · Avg AOV £11 · Avg Orders 1x · Recency 539d ago · Churn Safety 0/100 · Buying Mindset Discount Hunter · Peak Season Spring · Psyche Type The Trialler, High Impulse.

First-timers or single-purchase customers who haven't decided if they're coming back. The conversion window from purchase one to purchase two is narrow and decisive. Action: second-purchase trigger within 28–45 days. Social proof, not discount.

Buying Mindset & Impulse Profile
SegmentBuying Mindset
ChampionsFull Price
Active Mid-TierDiscount Aware
At Risk & DriftingDiscount Hunter
Dormant & ColdDiscount Hunter

Only the Champions segment buys at full price. 30% of the base are active Discount Hunters and a further 30% are Discount Aware. The majority of this customer base has been trained to wait for a deal before reordering.

Impulse Profile — the counterintuitive AOV finding:

Impulse TierNumber% of BaseAOV
High Impulse113,08955%£16.84
Medium Impulse59,27029%£51.94
Low Impulse32,13716%£166.40

Low impulse buyers spend nearly 10x more per order than high impulse buyers.

Weather ConditionHigh Impulse Rate (%)
Warm Dry64
Mild Wet60
Cold Wet59
Mild Dry57
Variable42

Impulse buying is highest in warm dry conditions — aligning with spring and summer training peaks.

The Language Problem
Journey StageProportion
Re-engagementDominant majority
ConsiderationSignificant
RetentionTiny fraction

The brand's communication engine is almost entirely built for winning people back or sparking initial interest. The language of consistency and belonging — the register that turns a buyer into a habitual replenisher — is reaching almost nobody.

The Fix: rebuild the messaging architecture so that anyone past their first purchase receives language rooted in consistency and identity.

When They Buy — Timing Intelligence
DayPurchases
Monday8,892
Tuesday7,498
Wednesday7,173
Thursday6,839
Friday6,085
Saturday6,199
Sunday8,438

Monday and Sunday dominate — the weekend long run or ride triggers a Sunday stock-check, Monday locks in the order.

March is the single biggest month. January through March generates almost double the order volume of October through December, mapping to endurance event season build-up. All four segments share Spring as their peak buying season — except Champions, who peak in Winter.

The Timing Action: deploy replenishment nudges Saturday evening and Sunday morning. Pair with a Q4 push in November for the three spring-peaking segments, and a year-round cadence for Champions.

Income Intelligence
Income BandNumber% of BaseAvg Spend
High14,4957%£104
Mid149,74073%£112
Low40,26120%£103

73% of the customer base is mid-income. The average spend difference between income bands is minimal — roughly £9 between the lowest and highest earners. Income is not the barrier to spending more. Retention failure is not driven by affordability; it is driven by the absence of habit, identity, and structural reasons to return.

Context — Geography
CountryCustomers
United Kingdom~170,000+
United States8,852

Champions and At Risk & Drifting segments are both London-concentrated.

Peer Benchmarks — The Wallet Share Story

£107 SiS Avg Annual Spend · £480 Industry Benchmark · 23% Wallet Share Captured · £75.8M Total Uncaptured Wallet.

SiS is capturing 23% of what each customer could realistically spend in this category annually. The wallet gap cannot be fixed by targeting only the top spenders — the fix is frequency and replenishment habit, not segment selection.

Competitive Context — Where SiS Stands in the Gel Market

The decision arc every buyer follows: Habit → Identity → Proof → Need. Every competitor clusters around Proof. Nobody fully owns the Habit and Reciprocity layer.

BrandAuthoritySocial ProofIdentityFluencyCommitment/HabitReciprocity
SiS GO532521
Maurten532421
Precision Fuel & Hydration442531
High5333321
GU434341

SiS already wins: Authority + Fluency — best "trust + simplicity" pairing in the category.

Competitors win on: Maurten = Authority innovation · PF&H = Fluency precision · GU = Identity + Habit · High5 = Familiar safe middle.

SiS loses ground on: Identity (everyday athlete belonging) · Habit scaffolding (repeat routines) · Reciprocity (post-purchase reinforcement).

Every competitor scores 1 on Reciprocity. The habit and post-purchase reinforcement layer is completely unowned across the market. That is SiS's white space.

The Performance Impact — What Fixing This Is Worth

Based on 120 million test results across comparable brands (COTN data):

Channel AreaExpected Impact TypeConservative Uplift
PDP Conversion RateReduced friction, faster choice+6% to +12% CVR
Category Page CTR to PDPHigher click intent+8% to +15%
Add-to-Cart RateAnxiety removal+5% to +10%
Email Retention FlowsRepeat rate lift+10% to +18%
Subscription / Repeat PurchaseCommitment bias activation+12% to +22%
Paid Ads PerformanceHigher CTR + lower CPA+8% to +20% ROAS
D2C LTV GrowthLoyalty compounding+14% to +25%
B2C Brand PreferenceReduced competitor switching+10% to +18%
Executive Summary — The Five Actions That Matter Most
  1. The Day 25–35 Replenishment Trigger. Product-specific, consumption-cycle timed. "Your supply is running low" — not a generic email. This is the single highest-leverage action available.
  2. Target the Champions Segment for Subscription. 24,540 Champions averaging 5.2 orders and £143 AOV. Launch auto-replenishment to this cohort first.
  3. Win Back the Active Mid-Tier Before They Join the Dormant Pool. 61,348 customers · 425 days average recency · Churn Safety 6/100. The most urgent segment.
  4. Fix the Language Architecture. All three non-Champion segments are tagged Trialler. Any customer past their first purchase should receive consistency and identity language, not re-engagement copy.
  5. Build the Community and Rewards Infrastructure. 58% of the base is At Risk & Drifting or Dormant & Cold with no structural reason to return. Launch a points-on-replenishment programme and a named performance community tier.
MatrixStrike — Competitive Intelligence Platform

MatrixStrike is a competitive intelligence and strategic decision platform built on COTNOS. It runs structured research against a defined strategic question and returns a board-ready intelligence report with decision architecture, risk heatmap, strategic options, execution plan, and monitoring framework.

This report ran MatrixStrike across the UK sports nutrition category — gels, protein, performance improvement — with a 6-to-12 month forward view.

The question: Where and how should a brand commit resources to create and capture demand in the UK sports nutrition market over the next 6 to 12 months?

The central finding: the dominant failure mode in this category is committing creative and media budget to awareness before the demand interception infrastructure is in place. The brand pays to educate buyers who are then captured by competitors at the point of purchase. The buyer is not purchasing a product — they are purchasing an identity, the serious, disciplined, high-performing athlete. The brand that owns that emotional moment and then intercepts the buyer at the point of intent wins consistently.

Key wins from the report:

  • The failure mode is named and sequenced — awareness-first is the category's primary destruction pattern.
  • Informed Sport certification = hard gate, not marketing asset — club-level athletes have removed uncertified products from consideration entirely.
  • Community acquisition outperforms paid media on LTV — buyers acquired through race events and club recommendations show structurally higher repeat rates.
  • Trigger-based capital deployment — no media tranche released on a calendar; each release gated on external performance triggers.
  • The sunk cost trap is named as the primary internal risk — MatrixStrike scores it likelihood 4, impact 4, score 16, critical.
  • A reversal condition is defined — if a competitor locks specialist retail or achieves certification first, the strategic logic shifts from interception to differentiation.
Inventory match: Verified against SiS_PhD_Document_Inventory_FINAL_CLEAN — matched by title and topic to its Google Drive source file.