Boohoo

Strategy — Four Whys

Debenhams Group (Boohoo) — Four Whys Strategy (Reworked)

Last Updated: 2026-05-03
Urgency: HIGH — New CTO in 90-day window + confirmed FullStory displacement opportunity + turnaround unlocking budget
Status: Reworked per SAA-171


Why 1: Why Do Anything?

Business Imperative: GROW REVENUE + RESPOND TO COMPETITIVE PRESSURE (Temu/Shein displacement)

Debenhams Group operates 13 brands on a dense, multi-vendor AI stack — Bloomreach for search, Peak AI for pricing, Mirakl for marketplace, AWS Bedrock for content — but has no unified measurement of whether these investments convert into revenue. The current analytics tool (FullStory) captures sessions with quotas and cannot quantify friction in £.

Pain Dimensions:

  • Data Trust Crisis: FullStory provides session replay and behavioural analytics (confirmed via Sept 2024 case study, synced to BigQuery). But FS is quota-based — during peak trading (Black Friday, PLT drops), session capture is incomplete. FS cannot auto-quantify friction in revenue terms. At 13 brands and £2B revenue, the gap between "seeing friction" and "knowing what it costs" is commercially significant.

  • Cross-Functional Blame Loop: 13 brands, each with Bloomreach search + Peak AI pricing + Mirakl marketplace + AWS Bedrock content generation. When conversion drops on PrettyLittleThing, is it Bloomreach search relevance? Peak AI pricing? Mirakl Ads? A checkout bug? Without session-level correlation across the full stack, each vendor defends its own metrics. Paul Aspden (new CTO) needs a neutral measurement layer.

  • Sprint Waste at Scale: Engineering resources are shared across 13 brands. Without revenue-quantified prioritisation, sprint allocation defaults to the loudest brand team or the most recent escalation. QM auto-prioritises by £ impact across the portfolio.

  • Silent Abandonment — Temu/Shein Competitive Pressure: Youth fashion customers (Boohoo, PLT, BoohooMAN) are the most fickle. Temu and Shein compete on price AND speed. Any friction in the checkout experience doesn't generate a complaint — the customer silently switches. At the margins where Temu competes, every friction point lost is a customer permanently lost.

  • Boardroom Accountability Gap: Dan Finley (CEO) and Phil Ellis (CFO) must demonstrate turnaround progress to investors and Frasers Group. FY26 EBITDA £53m (+36%) is strong but the £40m fundraise demands ROI visibility. "Which AI investment delivered which conversion lift?" is a board question that currently has no precise answer.

Quantified Cost of Inaction: At £2B group revenue, conservative 1% friction across 13 brands = £20M+ annual recoverable revenue. FullStory's quota-based capture means an unknown percentage of peak-trading sessions are already unmeasured. Every unmeasured session during a PLT drop is lost revenue invisible to the business.

Evidence: FY26 EBITDA, turnaround metrics, fundraise, and AI stack investments all publicly confirmed. FullStory deployment confirmed via published case study. This is a fully evidenced case.


Why 2: Why Now?

Compelling Events (stacked — 5 simultaneous triggers):

  1. Paul Aspden's 90-day window (closes ~Jul 2026): Newly appointed CTO with explicit AI and marketplace mandate. Building vendor relationships NOW. Dense existing AI stack (Bloomreach, Peak AI, Mirakl, AWS Bedrock) means he's a proven technology evaluator. The window to become a partner (not a late-stage vendor) is short.

  2. Financial turnaround unlocking budget: FY26 EBITDA £53m (+36%), all brands profitable, £40m fundraise closed oversubscribed. FY27 guidance: double-digit EBITDA growth. For the first time in years, there is investment capacity for the right tools. Budget constraint is no longer the primary objection.

  3. FullStory contract renewal window: FS deployed since at least Sept 2024 (case study date). Typical enterprise contracts are 12-24 months. Contract renewal likely approaching in late 2026. ACTION: Investigate exact renewal date. Position QM evaluation alongside renewal cycle.

  4. Mirakl Ads proving retail media: 4x revenue, ROAS +148%, CVR +145% within 2 months. Marketplace and retail media growing fast — needs session-level measurement to sustain premium CPMs. Same dynamic as Wickes but marketplace-native.

  5. Temu/Shein competitive pressure intensifying: Youth fashion market share under active threat. Every conversion improvement is a competitive moat. QM's revenue quantification turns experience improvement from "nice to have" into "competitive survival."

Cost of Delay: Paul Aspden's 90-day window is finite. FullStory contract renewal is approaching. FY27 budget planning is underway. If QM is not in the conversation by July 2026, it defaults to FY28 — 12+ months of quota-limited session capture and £20M+ annual friction unmeasured. Cost of staying on FullStory: quota-based capture misses edge cases during peak trading. FS has no revenue quantification — team can see friction but cannot prioritise by £ impact. FS revenue declining ($102M → $84M projected) — long-term platform risk for enterprise commitment.


Why 3: Why Us (Quantum Metric)?

Capability-to-Need Mapping:

Debenhams Need QM Capability Value
Measure 13-brand portfolio Multi-property architecture, single governance One platform across all brands vs. 13 FullStory instances
Quantify AI stack ROI Revenue quantification (patented) "Bloomreach search drove £X uplift; Peak AI pricing recovered £Y"
Replace FullStory 100% session capture, no quotas, no caps Complete visibility during peak trading — no session gaps
Diagnose cross-vendor friction Full-stack visibility (frontend + API + backend) Correlate Bloomreach, Peak AI, Mirakl, checkout in one session view
Prove turnaround to investors Revenue-quantified reporting Board-ready "£X recovered from £Y identified friction"
AI complement for CTO agenda Felix AI (autonomous investigation) Autonomously investigates across 13 brands without being asked
Privacy/governance at scale Device-level encryption, single data model One compliance surface vs. FullStory's limited EU architecture

FullStory Displacement Specifics:

Dimension FullStory Quantum Metric
Session capture Quota-based, caps by tier 100% sessions, no quotas, no caps
Revenue quantification Manual "Conversions" tool, requires setup Patented, automatic, one-click
Backend correlation Frontend only Frontend + API + backend in one session
Multi-brand support Separate instances per brand Unified multi-property architecture
AI capability StoryAI (conversational) Felix AI (agentic, autonomous)
Financial trajectory Revenue declining ($102M→$84M), headcount -13% 30 consecutive growth quarters, 98% retention
Enterprise scale Mid-market sweet spot 25% Fortune 100, built for enterprise

Proof Points (matched to Debenhams context):

Proof Point Relevance Metric
Lululemon Fashion D2C at scale, checkout optimisation Multi-tens of millions $ recovered
UNTUCKit Fashion D2C, mobile engagement, paired with personalisation vendor (Dynamic Yield ≈ Bloomreach) +20% web conversions, -21% mobile abandonment
Fortune 500 Retailer Enterprise checkout friction at scale $5M+ abandoned cart identified in days
Canadian Tire Price-sensitive segments (value fashion parallel), BigQuery integration (FS→BigQuery comparison) +40% conversion
Fiverr Marketplace platform, payment page friction +19% payment conversion

UNTUCKit is strongest analogue — fashion D2C pairing QM with personalisation vendor, exactly like Debenhams' Bloomreach + QM combination.


Why 4: Why Not Us?

# Alternative Likelihood Their Pitch The Reality QM Reframe
1 Stay on FullStory HIGH "We already use FS, it works, why switch?" FS was deployed pre-turnaround when Boohoo was cost-constrained. Now at £53M EBITDA with 13 profitable brands, the requirements have changed. FS gaps: quota-based capture (peak trading blind spots), no revenue quantification (can't prove AI stack ROI in £), no backend correlation (can't diagnose commercetools + Mirakl + payment interactions), revenue declining (long-term platform risk). Staying on FS = staying with a mid-market tool for an enterprise operation. "FullStory got you here. You've outgrown it. QM handles multi-brand enterprise at your scale, quantifies every friction point in £, and captures 100% of sessions — no quotas, no gaps during peak."
2 Contentsquare MEDIUM "Market leader, broad feature set, European HQ" Implementation complexity during active marketplace scaling. Post-acquisition fragmentation (CSQ + Heap + Hotjar = 3 data models to govern across 13 brands). Slower time to value — Debenhams needs measurement now, not after months of configuration. No revenue quantification. "You're scaling 13 brands on commercetools. Which platform delivers insights across all 13 this quarter — one that deploys in days, or one that takes months of mapping?"
3 BigQuery + Looker (build internally) MEDIUM "We already sync FS to BigQuery — just build our own dashboards" Already have FS→BigQuery pipeline (confirmed). Data pipeline exists, but capture layer doesn't. BigQuery can aggregate QM output, not replace session-level capture. Building the capture + replay + revenue quantification layer internally = 12-24 months and worse than what exists. "BigQuery is the warehouse. QM is the capture layer. Build your own dashboards on top of QM's BigQuery export — best of both."
4 Do Nothing / "Not a priority during turnaround" LOW "We're focused on profitability, not new tools" The turnaround IS the reason. Every AI vendor investment (Bloomreach, Peak AI, Mirakl) needs measurement to prove ROI. The board and Frasers Group will ask "what return did these investments generate?" Without QM, the answer is approximate. With QM, it's quantified in £. "The board is watching turnaround ROI. How do you prove that Bloomreach, Peak AI, and Mirakl are each delivering? QM is the measurement layer for your AI investments."
5 Expand Fospha LOW "Fospha already handles marketing attribution — extend to on-site" Fospha measures marketing effectiveness (confirmed at Debenhams Group). It handles pre-click attribution — which channel, which campaign. QM handles post-click — what happened inside the session, where friction occurred, what it cost. Fospha and QM are complementary, not competitive. "Fospha tells you which campaign drove the visit. QM tells you what happened during the visit and what the friction cost. Together: full funnel, pre-click to post-purchase."

Most Dangerous Alternative: #1 (Stay on FullStory). Switching cost inertia is real — FS is already deployed and integrated with BigQuery. The reframe must be: FS was right for the previous era, but the turnaround demands enterprise-grade measurement that FS can't provide.


Warm Routes

Route Status Detail
Leanne Clancy (Group CIO, Boohoo) WARM — Adrian connected on LinkedIn (Jul 2021) Leanne Clancy is Group CIO at Boohoo Group PLC. Adrian has a direct LinkedIn connection. She predates the Debenhams rebrand. Verify current role — if still active, she is a direct warm intro to the technology leadership team.
Phil Ellis (CFO) — ex-Very Group CROSS-BRAND ANGLE Phil Ellis spent 7 years at The Very Group before joining Debenhams as CFO. If Very Group is engaged first (per priority order), Phil provides a cross-brand networking angle. "Your former colleagues at Very are evaluating QM for [reason]."
Fospha PARTNER ROUTE — Investigate Fospha (Blenheim Chalcot portfolio) confirmed at Debenhams Group AND Gymshark. Fospha handles marketing attribution; QM handles on-site session analytics — complementary. Warm introduction via Fospha account team viable.
commercetools PARTNER ROUTE — Investigate Debenhams runs on commercetools (MACH Alliance). QM should explore commercetools partner ecosystem for introduction route.
FullStory contacts COMPETITOR INTEL Adrian has LinkedIn connections to FullStory employees (Tajinder Singh — Principal CSM, Ben Urie — Sr Strategic AE, Peter Antoniou — Staff Sales Engineer). These are NOT warm routes to Debenhams, but may provide competitive intelligence on FS contract timing if approached carefully.
Monetate NO ROUTE No confirmed usage.
Creative CX / REO Digital / Percorso NO ROUTE No confirmed agency relationship.

Warm Route Resolution: Leanne Clancy (Adrian's direct LinkedIn connection, Group CIO) is the primary warm route — verify her current role and use as intro to Paul Aspden. Phil Ellis cross-brand angle with Very Group is secondary. Fospha and commercetools partner routes need investigation.


Entry Sequence

  1. Week 1: Verify Leanne Clancy role and approach for warm intro to Paul Aspden
  2. Week 1: LinkedIn connect Paul Aspden + Adeel Ejaz
  3. Week 1: Personalised InMail to Paul Aspden — reference CTO appointment, dense AI stack (Bloomreach, Peak AI, Mirakl), QM as the measurement layer that quantifies ROI of each AI investment in £. If Leanne Clancy route confirmed, lead with warm intro.
  4. Week 2: Sam Leach (CCMO) — marketing ROI and post-click conversion analysis
  5. Week 2: Liam Bell (Head of Insight & Analytics) as analytics champion
  6. Week 3: Phil Ellis (CFO) — ROI business case, leverage Very Group connection if applicable
  7. Ongoing: Investigate FullStory contract renewal date. Position QM evaluation alongside renewal cycle. Offer side-by-side comparison: session coverage, revenue quantification, backend correlation, multi-brand support.

Timeline: Paul Aspden's 90-day window closes ~Jul 2026. FY27 budget planning starting now. FullStory renewal approaching. Act within 2 weeks.

Success Criteria: Meeting with Paul Aspden or Adeel Ejaz within 30 days. FullStory displacement discussion within 60 days.


Verified Data Points

Claim Source Verified
Revenue ~£2B (group) brands.csv Yes
FY26 EBITDA £53m (+36%) Public reporting Yes
13 brands portfolio Public, confirmed Yes
commercetools headless platform Apps Run the World, confirmed Yes
FullStory deployment Sept 2024 case study (Jonny Longden) Yes — confirmed incumbent
Paul Aspden CTO Apr 2026 people.csv, web research Yes
Phil Ellis ex-Very Group (7 years) people.csv, LinkedIn Yes
Fospha at Debenhams + Gymshark suppliers.csv Yes
Mirakl Ads 4x revenue Public reporting Yes
£40m fundraise oversubscribed Public reporting Yes
Leanne Clancy — Adrian connected adrian-contacts.csv Yes
No confirmed Monetate usage Investigation complete Yes

Outreach

Outreach Sequence: Debenhams Group — Paul Aspden (CTO)

Metadata

  • Brand: Debenhams Group (formerly Boohoo Group)
  • Contact: Paul Aspden, Chief Technology Officer
  • LinkedIn: https://www.linkedin.com/in/aspro/
  • Signal Lead: L1 — Promoted to Group CTO (April 2026)
  • Signal Stack: L1 CTO promotion + L3 EBITDA up 36% to £53m + L3 £35m capital raise + L3 Boohoo→Debenhams rebrand/marketplace pivot
  • Outreach Value Score: 8
  • Urgency: 7
  • Channel Strategy: LinkedIn (Touch 1-2), Email (Touch 3-7)
  • Draft Date: 2026-05-01
  • Status: Pending CMO review

Touch 1 — LinkedIn (GIVE only, <100 words)

Hi Paul, congrats on the CTO promotion. Leading tech across 13 brands is no small feat—especially after building Debenhams' marketplace platform from the ground up. Impressive to see your deep product ownership now scaling group-wide.


Touch 2 — LinkedIn (GIVE only, <100 words)

Saw your work integrating the marketplace under tight turnaround timelines. The shift from Boohoo to Debenhams Group as a unified marketplace model is bold—especially with custom tech at the core. Curious how you're approaching consistency across brand experiences without sacrificing autonomy.


Touch 3 — Email (<75 words, GIVE + soft question)

Paul, with your new mandate to unify 13 brand tech stacks on commercetools, alignment must be top of mind. I recently mapped how federated governance models help group-scale retailers maintain velocity while enforcing core standards—happy to share the framework if useful.

Quick question: How are you balancing centralised control with brand-level innovation?


Touch 4 — Email (<75 words, GIVE + soft offer)

Given the £35m raise and EBITDA momentum, speed-to-scale is likely critical. I've seen similar marketplace transitions stall at integration points—especially around order orchestration across legacy systems.

If helpful, I can share a lightweight integration blueprint we used at another multi-brand retailer to cut go-live cycles by 40%. No strings—just context.


Touch 5 — Email (<75 words, soft meeting ask)

You're clearly driving momentum across a complex stack. If now's a good time, I'd welcome 12 minutes to share one pattern that helped another group CTO streamline roadmap alignment across autonomous brand teams—might save cycles as you scale.


Touch 6 — Email (<75 words, GIVE only, door open)

Paul, one thing that helped a peer CTO: separating "core commerce spine" capabilities from brand-specific extensions early. It reduced rework during group-wide upgrades.

If that resonates, I can send a 2-pager. Either way, appreciate the work you're doing—turning infrastructure into leverage is hard, quiet work.


Touch 7 — Email (<75 words, GIVE only, one-word reply)

One word reply: "Yes" or "Later"?

Happy to send over the integration spine model we discussed—used by another multi-brand team scaling a unified commercetools foundation. Zero pitch. Just the doc.

Outreach Sequence (3-Step): Debenhams Group — Nikki Tattersall (CPO)

Metadata

  • Brand: Debenhams Group (formerly Boohoo Group)
  • Contact: Nikki Tattersall, Chief Product Officer
  • LinkedIn: https://www.linkedin.com/in/nikki-tattersall-72323853/
  • Signal Lead: L1 — Appointed CPO (April 2026)
  • Signal Stack: L1 CPO appointment + L3 youth brands revenue -16% + L3 ex-ASOS 16 years buying leadership
  • Urgency: 7 — 90-day window, youth brand turnaround mandate
  • Channel Strategy: LinkedIn (Step 1), Email (Steps 2-3)
  • Draft Date: 2026-05-02
  • Status: Steps 1-3 APPROVED — Ready to send (2026-05-04)
  • Cluster: Debenhams Group (coordinated with Paul Aspden CTO + Richard Vanoli MD)

Cluster Coordination Note

Nikki is the product/brand experience entry point in the Debenhams multi-thread. Her sequence leads with the youth brand turnaround challenge and cross-brand product experience consistency — specifically where Boohoo, PrettyLittleThing, and BoohooMan are losing customers and why. Paul Aspden (CTO) carries the technology angle. Richard Vanoli (MD) carries the marketplace commercial angle. Nikki's outreach launches Week 2-3, after Paul (Week 1) and Richard (Week 2). Her ASOS background means she understands scale-brand product management — reference this as credibility, not flattery. Never mention other Debenhams threads.


Step 1 — Connect (LinkedIn, <100 words)

Nikki, congrats on the CPO role at Debenhams Group. Sixteen years leading buying at ASOS — scaling own-brand and third-party across that kind of complexity — is exactly the experience these youth brands need right now. I work with multi-brand retailers on a specific problem: understanding where the product experience breaks down differently across each brand in a portfolio. Given the diversity between Boohoo, PLT, and BoohooMan, thought it might be worth connecting.


Step 2 — Value (Email, <100 words)

Nikki, one pattern I've seen with CPOs inheriting multi-brand portfolios: the aggregate product metrics mask enormous brand-level variance. A category that converts well on PLT might be actively losing revenue on Boohoo — same product, different customer journey, completely different friction profile.

With youth brand revenue down 16%, the fastest lever isn't always assortment or pricing — it's identifying which brand experiences are silently driving abandonment. I recently helped a comparable multi-brand retailer isolate brand-specific friction that was costing £4M annually — invisible in aggregate reporting.

Happy to share the breakdown if useful.


Step 3 — CTA (Email, <75 words)

Nikki, as you shape the product strategy across Boohoo, PLT, and BoohooMan — how are you measuring where the brand experience diverges from what customers expect? Not just conversion rates, but the actual friction moments that drive abandonment differently per brand.

If it's worth 15 minutes, I can walk through how one multi-brand CPO built a brand-level experience scorecard that changed their prioritisation entirely. No pitch.

[Calendar link]

Outreach Sequence (3-Step): Debenhams Group — Paul Aspden (CTO)

Metadata

  • Brand: Debenhams Group (formerly Boohoo Group)
  • Contact: Paul Aspden, Chief Technology Officer
  • LinkedIn: https://www.linkedin.com/in/aspro/
  • Signal Lead: L1 — Promoted to Group CTO (April 2026)
  • Signal Stack: L1 CTO promotion + L3 EBITDA up 36% to £53m + L3 £35m capital raise + L3 FullStory incumbent
  • Urgency: 9 — 90-day CTO window, FullStory displacement opportunity
  • Channel Strategy: LinkedIn (Step 1), Email (Steps 2-3)
  • Draft Date: 2026-05-02
  • Status: Pending CMO review
  • Cluster: Debenhams Group (coordinated with Richard Vanoli MD + Nikki Tattersall CPO)
  • Extended Sequence: See 2026-05-01_debenhams-group_paul-aspden.md for full 7-touch version

Cluster Coordination Note

Paul is the technology entry point in the Debenhams multi-thread. His sequence leads with platform measurement and full-stack visibility. Richard Vanoli (MD) carries the marketplace commercial outcomes angle. Nikki Tattersall (CPO) carries the product/brand experience angle. Sequences are staggered: Paul Week 1, Richard Week 2, Nikki Week 2-3. Do not overlap messaging — Paul gets the "how do you measure what your platform is costing you?" frame. Richard gets "marketplace revenue per seller." Nikki gets "brand experience consistency across the portfolio."


Step 1 — Connect (LinkedIn, <100 words)

Hi Paul, congrats on the CTO promotion — building Debenhams' marketplace platform from the ground up and now leading tech across 13 brands is a serious trajectory. With a custom commercetools stack at that scale, I'd imagine the measurement challenge is as complex as the architecture itself. I work with enterprise retailers solving exactly that — quantifying where platform friction costs revenue across multi-brand portfolios. Would value connecting.


Step 2 — Value (Email, <100 words)

Paul, one pattern I've seen with group CTOs inheriting multi-brand stacks: the platform works, but nobody can put a £ figure on where it doesn't. At 6M monthly visits across 13 brands, even small friction points compound fast — especially across 20,000+ marketplace sellers where experience quality varies wildly.

I recently mapped how one enterprise retailer identified £12M in recoverable checkout friction within 90 days of deploying a session-level analytics layer — no engineering instrumentation, full-stack API correlation included.

Happy to share the framework if useful.


Step 3 — CTA (Email, <75 words)

Paul, quick question: as you shape the tech roadmap with £35M in fresh capital, how are you measuring experience quality across the marketplace at a session level — especially correlating frontend behaviour with commercetools API performance?

If it's worth 15 minutes, I can walk through how one comparable multi-brand retailer closed that visibility gap. No pitch — just the architecture pattern.

[Calendar link]

Outreach Sequence (3-Step): Debenhams Group — Richard Vanoli (MD Debenhams)

Metadata

  • Brand: Debenhams Group (formerly Boohoo Group)
  • Contact: Richard Vanoli, Managing Director — Debenhams
  • LinkedIn: https://www.linkedin.com/in/richard-vanoli-3a60389/
  • Signal Lead: L1 — Promoted from CCO to MD Debenhams (March 2026)
  • Signal Stack: L1 MD promotion + L3 marketplace 20,000+ brand partners + L3 Mirakl renewal + L3 EBITDA +36%
  • Urgency: 8 — 90-day window, marketplace scaling mandate
  • Channel Strategy: LinkedIn (Step 1), Email (Steps 2-3)
  • Draft Date: 2026-05-02
  • Status: Steps 1-3 APPROVED — Ready to send (2026-05-04)
  • Cluster: Debenhams Group (coordinated with Paul Aspden CTO + Nikki Tattersall CPO)

Cluster Coordination Note

Richard is the commercial/marketplace entry point in the Debenhams multi-thread. His sequence leads with marketplace revenue outcomes and seller experience quality — the business case, not the technology. Paul Aspden (CTO) carries the platform/architecture angle. Nikki Tattersall (CPO) carries the product/brand angle. Richard's outreach launches Week 2, after Paul's LinkedIn connect (Week 1). If Paul engages first, Richard's sequence shifts to reinforce the commercial case. Never reference Paul's outreach directly — keep threads independent but complementary.


Step 1 — Connect (LinkedIn, <100 words)

Richard, congratulations on the MD appointment — 25 years from allocation to leading the Debenhams digital department store is a remarkable journey. The marketplace model you've helped build with 20,000+ brand partners is genuinely distinctive in UK retail. I work with marketplace and multi-brand retailers on a specific challenge: quantifying which seller experiences convert and which cost revenue. Given the scale you're operating at, I thought it might be worth connecting.


Step 2 — Value (Email, <100 words)

Richard, one thing I've seen with marketplace leaders at your scale: the aggregate numbers look strong, but the revenue variance between your best and worst seller experiences is usually 5-10x wider than anyone expects.

At 20,000+ brand partners, even a small percentage of poor seller pages creates compounding friction — abandoned carts, repeat returns, brand dilution. The challenge is that traditional analytics average everything out and hide the problem.

I recently helped a comparable multi-category marketplace isolate £8M in seller-attributable friction. Happy to share how the segmentation worked.


Step 3 — CTA (Email, <75 words)

Richard, quick thought: as you scale the marketplace with Mirakl and onboard more brand partners, how are you measuring experience quality at the individual seller level — not just aggregate conversion?

If it's worth a quick call, I can share a seller-level experience framework that helped another marketplace MD build a commercial case for experience-based seller tiering. 15 minutes, no pitch.

[Calendar link]

Outreach Sequence (3-Step): Debenhams Group — Dan Finley (Group CEO)

Metadata

  • Brand: Debenhams Group (formerly Boohoo)
  • Contact: Dan Finley, Group Chief Executive Officer
  • LinkedIn: https://www.linkedin.com/in/daniel-finley-18231019/
  • Email: dan.finley@debenhams.com (inferred)
  • Signal Lead: L1 — FY26 EBITDA +36% to £53m and new CTO Paul Aspden building AI/marketplace agenda
  • Signal Stack: L1 FY26 EBITDA £53m +36% + L1 Paul Aspden CTO April 2026 + L1 Mirakl Ads 4x retail media revenue + L1 £40m fundraise oversubscribed + L1 Peak AI pricing + Bloomreach AI search across 13 brands + L1 PLT sale reversed
  • Urgency: 9 — New CTO in first 90 days; multi-vendor AI stack scaling across 13 brands; capital being deployed
  • Channel Strategy: LinkedIn (Step 1), Email (Steps 2-3)
  • Draft Date: 2026-05-03
  • Status: CMO approved — Step 1 trimmed to under 100 words
  • Cluster: Debenhams Group (coordinated with Paul Aspden CTO — drafted 2026-05-01/02, Nikki Tattersall — drafted 2026-05-02, Richard Vanoli — drafted 2026-05-02)

Cluster Coordination Note

Dan is the executive sponsor entry in the Debenhams Group thread. His sequence leads with multi-vendor AI measurement and commercial outcomes across the 13-brand portfolio. Paul Aspden (CTO) carries the technical AI stack architecture angle. Nikki Tattersall and Richard Vanoli carry functional execution angles. Sequences staggered: Dan Week 1, Paul Week 2, Nikki/Richard Week 3. Dan gets the "are your AI investments compounding or creating blind spots across 13 brands?" frame.


Step 1 — Connect (LinkedIn, <100 words)

Dan, FY26 results are striking — £53m EBITDA, 36% ahead of guidance, and Paul Aspden stepping into CTO to scale the AI and marketplace agenda. With Peak AI on pricing, Bloomreach on search, and Mirakl Ads quadrupling retail media revenue in two months, you're running one of the densest AI vendor stacks in UK retail. The question that keeps coming up with CEOs in this position: are these AI investments compounding value across the portfolio, or creating measurement gaps between vendors? I work with multi-brand retail CEOs on exactly that. Would value connecting.


Step 2 — Value (Email, <100 words)

Dan, Debenhams' AI stack is impressive — Peak AI optimising pricing, Bloomreach powering search across 13 brands, Mirakl driving 4x retail media growth. Each vendor reports strong individual metrics. But with multiple AI systems deploying asynchronously across PrettyLittleThing, Karen Millen, Boohoo, and the Debenhams marketplace, the compounding experience effect is hard to measure.

I recently worked with a comparable multi-brand retailer who discovered £2.8M in recoverable revenue by unifying session-level data across their AI vendor stack — friction that no single vendor's dashboard was surfacing.

Worth exploring the approach?


Step 3 — CTA (Email, <75 words)

Dan, with Paul building the AI roadmap and capital deployed from the £40m raise, the next planning cycle will lock in vendor commitments. Can you currently measure whether Peak AI, Bloomreach, and Mirakl are compounding or conflicting at the session level across all 13 brands?

If that's worth 15 minutes, I can share the diagnostic framework. No pitch — just the measurement architecture.

[Calendar link]

Warm Route Outreach: Boohoo — Leanne Clancy (Group CIO)

Metadata

  • Brand: Debenhams Group (formerly Boohoo Group)
  • Contact: Leanne Clancy, Group CIO
  • Connection: Adrian direct LinkedIn contact since 2021-07-29
  • Route Type: Warm — personal connection, not cold outreach
  • Signal Stack: L1 3x C-suite hires (Apr 2026) + L3 EBITDA up 36% to £53m + L3 FullStory incumbent + L3 £40m fundraise
  • Urgency: HIGH — New CTO (Paul Aspden) in 90-day window, C-suite turnover = budget reset
  • Channel: Email (warm route — no connect step needed)
  • Draft Date: 2026-05-13
  • Status: Pending CMO review
  • Cluster: Debenhams Group (coordinates with Paul Aspden CTO sequence + Richard Vanoli MD + Nikki Tattersall CPO)

Cluster Coordination Note

Leanne is the warm entry point in the Debenhams multi-thread. As Group CIO and Adrian's direct contact, she opens the door to Paul Aspden (CTO) and the wider technology leadership. This email should land before or alongside the Paul Aspden Step 1 connect — ideally Leanne introduces Adrian to Paul, making the CTO outreach a warm follow-up rather than cold. Do not duplicate the technical measurement pitch used in Paul's sequence. Leanne's frame is peer-level catch-up with a specific reason to reconnect now.


Email — Warm Introduction

Subject: Leanne — quick one re: the new tech leadership team

Hi Leanne,

Hope you're well — it's been a while since we last caught up.

I noticed Boohoo brought in three new C-suite hires in April, including Paul Aspden as Group CTO. That's a serious signal that the leadership team is gearing up for the next phase, especially with the turnaround momentum you've built — £53m EBITDA and the fundraise closing oversubscribed.

The reason I'm reaching out: I've been working with enterprise retailers on a specific problem that I think is becoming acute for Debenhams Group right now. With 13 brands running on commercetools, plus Bloomreach, Peak AI, Mirakl, and the rest of the AI stack — the question I keep hearing from CTOs and CIOs in similar positions is: "How do we actually measure which of these investments is driving revenue, and where are we losing money to friction we can't see?"

The platform I'm working with, Quantum Metric, solves exactly that — 100% session capture across the full portfolio, with automatic revenue quantification that puts a £ figure on every friction point. No quotas, no gaps during peak trading. It's the measurement layer that sits across the entire tech stack and tells you what's working and what's costing you.

I'd love to get your perspective on whether this resonates with what you're seeing internally. And if it makes sense, I'd welcome an introduction to Paul — I think this aligns closely with what he'll be evaluating in his first 90 days.

Happy to jump on a quick call whenever suits, or if easier, I can send over a short brief you can share with Paul directly.

Best,
Adrian


Notes

  • Tone: Peer reconnection, not a pitch. Adrian and Leanne have been connected for nearly 5 years — this should read as a professional catching up with a reason, not a sales approach.
  • Key angle: C-suite turnover = new priorities = budget cycles. Three new hires in April signals transformation mode.
  • Ask: Dual — either Leanne's own perspective (she's Group CIO, a decision-maker herself) or an intro to Paul Aspden.
  • FullStory: Not mentioned directly. Naming the incumbent in a warm email risks sounding overly researched. Save displacement framing for the technical conversation with Paul.
  • Follow-up if no response (7 days): Short nudge — "Leanne, just bumping this up — completely understand if timing isn't right. Happy to send a one-pager if that's easier to circulate internally."