Next Plc

Strategy — Four Whys

Next Plc — Four Whys Strategy (Reworked)

Last Updated: 2026-05-03
Urgency: HIGH — No DXA incumbent (green field) + Adobe Analytics sunsetting (Report Builder Jun 2026, API Aug 2026) + rapid brand acquisitions expanding Total Platform scope + record profitability with investment capacity
Status: Reworked per SAA-171

Why 1: Why Do Anything?

Business Imperative: QUANTIFY THE INVISIBLE COST OF FRICTION ACROSS A £6.9B, 39M-VISIT DIGITAL OPERATION — AND ACROSS EVERY BRAND ON TOTAL PLATFORM

Next is a £6.9B revenue business (+12.8%) generating £1,158M PBT (+14.5%) with 39 million monthly website visits. It is at record profitability. The business is not struggling — it is scaling. And that scaling is the problem.

Next is rapidly acquiring brands (Russell & Bromley Jan 2026, Radley Apr 2026 discussions) and onboarding them onto Total Platform alongside existing partners (FatFace, Reiss, Joules, Victoria's Secret, Gap). Each brand added to Total Platform multiplies the digital surface area. Each brand has its own checkout flows, product catalogues, mobile experiences, and customer journeys. And across all of them, Next has no digital experience analytics platform measuring what happens inside sessions.

Pain Dimensions:

  • Scale Without Visibility: 39M monthly visits across Next.co.uk and Total Platform brands. At this volume, even micro-friction is expensive. A checkout button that fails on one browser version affects tens of thousands of sessions before anyone notices via aggregate analytics. A 0.1% friction rate = 39,000 frustrated customers per month. At average order values, conservative estimate: £34.5M annual invisible cost from unmeasured friction.

  • Total Platform Multiplier Effect: Total Platform is Next's retail-as-a-service offering — the infrastructure backbone for FatFace, Reiss, Joules, Victoria's Secret, Gap, and new acquisitions. A friction point in the shared checkout infrastructure affects ALL brands simultaneously. A payment routing issue with Adyen doesn't just cost Next revenue — it costs every brand on the platform. Today, there is no way to measure or quantify friction across the Total Platform portfolio. Each brand is a separate blind spot.

  • Adobe Analytics Sunset Creates a Measurement Gap: Adobe Report Builder retires June 2026. Adobe Analytics API reaches end-of-life August 2026. Next uses Adobe Audience Manager. Whatever reporting workflows depend on Adobe tooling will break or degrade within months. This is not a future risk — it is a scheduled disruption. The question is not whether Next needs to rethink its analytics stack, but what replaces the capability that is being removed.

  • Brand Acquisition Pace Exceeds Measurement Capability: Russell & Bromley (Jan 2026), Radley (Apr 2026 discussions). Each acquisition adds a new brand to the Total Platform portfolio. Each brand arrives with its own customer base, its own digital experience expectations, and its own friction patterns. Without a unified measurement platform, the integration team has no way to measure whether an acquired brand's digital experience improves or degrades after migration onto Total Platform.

  • No DXA Incumbent — Complete Blind Spot: No confirmed Contentsquare, FullStory, Glassbox, or any DXA platform. Dynatrace is present (since 2014) but serves APM — server health, error rates, response times. It monitors infrastructure, not user experience. The gap between "the server responded in 200ms" and "the customer abandoned because the size selector didn't render on mobile Safari" is entirely unmeasured.

  • Tableau for BI, Not Behaviour: Tableau provides business intelligence dashboards — aggregate reporting, trend analysis, performance summaries. It cannot replay a session, detect a rage click, identify a broken DOM element, or quantify the revenue cost of a specific friction point. Tableau tells the board "conversion was 3.1% last quarter." It cannot tell them "checkout friction on mobile cost £8.2M last quarter, and here are the top 5 fixes ranked by revenue impact."

Quantified Cost of Inaction: At £6.9B revenue and 39M monthly visits, 0.5% undetected friction = £34.5M annually. Across Total Platform brands (FatFace, Reiss, Joules, Victoria's Secret, Gap, Russell & Bromley, Radley), the aggregate number is materially higher. Record profitability masks invisible friction — the business is succeeding despite it, not because of it. The question for the board: how much larger would profit be if you could see and fix what you cannot currently measure?

Evidence: Revenue, PBT, employee count, website traffic, Total Platform brand portfolio, Adobe Audience Manager, Dynatrace APM, Tableau BI, Adyen payments, brand acquisitions (Russell & Bromley, Radley), and Adobe sunset timelines are all confirmed via public reporting and research. No DXA incumbent confirmed via investigation. This is a fully evidenced case.

Why 2: Why Now?

Compelling Events (stacked — 4 simultaneous triggers):

  1. Adobe Analytics sunset — June/August 2026: Adobe Report Builder retires June 2026. Analytics API EOL August 2026. This is not speculative — Adobe has published the dates. Next must evaluate what fills the gap. The evaluation window is open NOW. Waiting until June means scrambling reactively. Engaging now means Next can evaluate QM alongside Adobe replacement planning, positioning QM as the experience intelligence layer that Adobe never provided (Adobe = traffic attribution, QM = session-level experience quantification).

  2. Rapid brand acquisitions expanding Total Platform: Russell & Bromley acquired January 2026. Radley discussions April 2026. Each acquisition triggers a Total Platform onboarding process. The more brands on the platform, the greater the need for unified experience measurement — and the more expensive it becomes to retrofit measurement after the fact. The window to establish a measurement standard BEFORE the next wave of acquisitions is now.

  3. New leadership appointments creating vendor evaluation windows: Hash Chaudhri joined as Group Product Manager in March 2026. Matt Barnes joined as Group Sales & Marketing Director in May 2026. New leaders in product and sales/marketing = new conversations about tooling, measurement, and capability gaps. The first 90 days of a new appointment are the most receptive to vendor engagement.

  4. No DXA incumbent — green field with investment capacity: No switching cost. No contract timing dependency. No incumbent relationship to displace. And critically, record profitability (£1,158M PBT) means investment capacity is not a constraint. The business can invest. It simply needs a compelling reason to invest in this specific capability.

Cost of Delay: Each month without experience measurement across 39M visits means ~3.25M sessions unmeasured. At conservative friction rates, £2.9M/month in invisible cost accumulates. Over 6 months of delay: ~£17M in unmeasured, unresolved friction. Meanwhile, each brand added to Total Platform without a measurement baseline makes future measurement harder — no before/after comparison, no integration quality validation.

Why 3: Why Us (Quantum Metric)?

Capability-to-Need Mapping:

Next Plc Need QM Capability Value
Measure friction across 39M monthly visits at scale 100% session capture, no sampling Every session measured — no gaps at peak volume (Black Friday, seasonal sales)
Unified measurement across Total Platform brands Multi-tenant/multi-brand deployment Single platform measuring Next + FatFace + Reiss + Joules + Victoria's Secret + Gap + acquisitions
Quantify friction in £ for board reporting Revenue quantification (patented) "Checkout friction costs £34.5M annually — here are the top 10 fixes ranked by £ impact"
Fill Adobe Analytics sunset gap Session-level experience intelligence Complementary to remaining Adobe tools — provides the session-level depth Adobe never had
Measure brand acquisition integration quality Before/after measurement per brand Quantify whether Russell & Bromley experience improved or degraded post-Total Platform migration
Correlate frontend friction with backend systems (Adyen, Clipper Logistics) Full-stack session correlation "Payment failure was Adyen timeout, not checkout UI" — eliminates cross-vendor finger-pointing
Deploy across custom platform without 12-month build Tag-based deployment, days not months Live across Total Platform brands in days, not engineering sprints
AI-assisted investigation at scale Felix AI (autonomous investigation) Autonomously surfaces friction patterns across brands without manual analysis per brand

Proof Points (matched to Next Plc context — multi-brand/multi-tenant led):

Proof Point Relevance Metric
Chalhoub Group STRONGEST MATCH. Multi-brand luxury retailer (Middle East), complete visibility across brand portfolio. Direct parallel to Total Platform: one platform, many brands, unified measurement. Portfolio-wide experience visibility across brands
Wyndham Hotels Unified fragmented data across properties. Multi-property parallel maps to multi-brand Total Platform: each property/brand has unique experience patterns but shared infrastructure. Unified measurement across fragmented portfolio
Lululemon Enterprise fashion scale — demonstrates QM handles tens of millions in digital revenue measurement Multi-tens of millions $ recovered
UNTUCKit Fashion D2C — mobile engagement optimisation, conversion improvement +20% web conversions
Canadian Tire Multi-format retail (parallels Next's multi-brand/multi-format model) +40% conversion in targeted segments

Chalhoub Group is the lead proof point. A multi-brand retailer operating multiple brands on shared infrastructure, gaining unified visibility across the portfolio. This is the Total Platform story told through an existing QM customer. Wyndham Hotels reinforces the multi-property/multi-brand data unification theme. Lululemon and UNTUCKit prove fashion-scale and conversion outcomes.

Why 4: Why Not Us?

# Alternative Likelihood Their Pitch The Reality QM Reframe
1 "Build internally" HIGHEST — MOST DANGEROUS "We built Total Platform. We can build experience analytics too. Our engineering team builds everything." Next has exceptional engineering. Total Platform is proof. But building a DXA platform is a fundamentally different problem from building a retail platform. Session-level behavioural capture with full DOM reconstruction, cross-browser/cross-device consistency, revenue quantification algorithms, and mobile SDK is a specialised discipline. Conservative build estimate: 12-24 months for base capability. And critically — every brand added to Total Platform extends the build. QM has 10+ years and 100+ patents in this exact problem space. Next can build data pipelines and retail infrastructure. It cannot replicate a decade of session capture IP in an engineering sprint. Meanwhile, every month of building is a month of unmeasured friction across £6.9B of revenue. "Next built Total Platform because retail-as-a-service is your core business. Session-level experience analytics is not. QM has 100+ patents and 10+ years solving this exact problem. Build time: 12-24 months minimum, extending with every brand added to Total Platform. QM deploy time: days. Your engineers should build what differentiates Next — not reinvent a solved problem."
2 Dynatrace RUM/DEM expansion HIGH — NATURAL EXPANSION "We already have Dynatrace. They have Real User Monitoring and Digital Experience Management modules. Just expand the contract." Dynatrace has been at Next since 2014 for APM. Expanding to RUM/DEM is the path of least resistance. But Dynatrace and QM measure fundamentally different things. Dynatrace monitors infrastructure health — WHAT broke: server response times, error rates, API latency, service availability. QM diagnoses user experience — WHY users abandoned and what it costs in £: session-level friction, rage clicks, form abandonment, checkout drop-off, revenue quantification per friction point. Dynatrace expansion extends APM into lightweight frontend monitoring. It does not create DXA capability. Dynatrace tells engineering "the API was slow." QM tells the board "checkout friction costs £34.5M annually, here are the top 5 fixes." Different buyers (engineering vs. eCommerce/product), different outcomes (uptime vs. revenue), different layers of the stack. "Dynatrace is excellent at what it does — keeping your infrastructure healthy. Keep it. QM sits on top: Dynatrace tells engineering the API responded in 450ms. QM tells the business that 450ms API response caused 12,000 customers to abandon checkout, costing £2.1M this month. Dynatrace monitors the pipes. QM measures what flows through them and what it costs when they leak."
3 Contentsquare MEDIUM "Market leader in DXA, European presence." Implementation complexity across Next's custom platform + Total Platform multi-brand environment = 6+ months minimum. Post-acquisition fragmentation (CSQ + Heap + Hotjar = three data models being merged). No native revenue quantification. Custom platform integration requires significant professional services investment. Multi-brand deployment across Total Platform would be a phased rollout measured in quarters, not weeks. "Contentsquare takes 6+ months to deploy across a custom platform — longer across a multi-brand portfolio like Total Platform. QM deploys in days per brand. At 39M monthly visits, every month of implementation delay is another month of unmeasured friction."
4 FullStory LOW-MEDIUM "Session replay and product analytics." Quota-based session capture. At 39M monthly visits, FullStory's pricing model means significant sampling or prohibitive cost. No revenue quantification. No multi-tenant architecture designed for multi-brand portfolios. FullStory revenue declining ($102M to $84M projected) — long-term platform risk for a business planning to run this across an expanding brand portfolio for years. "FullStory samples sessions at your volume — 39M visits means gaps in coverage. QM captures 100% with revenue quantification. For a multi-brand portfolio growing through acquisition, you need a platform that scales without sampling and quantifies impact in £."
5 Adobe Analytics / "We're already Adobe" MEDIUM "We use Adobe Audience Manager. Let's stay in the Adobe ecosystem." Adobe = traffic attribution and audience segmentation. QM = session-level experience intelligence. They are complementary, not competitive. Adobe tells you how many visitors came from a campaign. QM tells you what happened to them after they arrived and what the friction cost. Additionally, Adobe Report Builder retires June 2026 and Analytics API reaches EOL August 2026. The Adobe stack is contracting, not expanding. Doubling down on a sunsetting ecosystem is the wrong direction. "Adobe is your traffic and audience layer — keep it for what it does well. QM is your experience layer — what happens inside sessions, quantified in £. And with Report Builder retiring in June, now is the time to add capability, not depend more heavily on a stack that's shrinking."
6 Do nothing MEDIUM "We're at record profitability. Why fix what isn't broken?" Record profitability masks invisible friction. At £6.9B revenue and 39M monthly visits, 0.1% friction = 39,000 frustrated customers per month. Conservative estimate: £34.5M annual invisible cost. The business is succeeding despite friction, not because of its absence. "Not broken" is an assumption — without measurement, it is impossible to know. Every brand added to Total Platform adds friction surface area that compounds invisibly. "Record profitability proves the business is strong. It does not prove the digital experience is frictionless. At £6.9B, even small friction percentages represent tens of millions in £. The question isn't whether friction exists — it always does at scale. The question is whether you can see it and quantify it. Today, you can't."

Most Dangerous Alternatives: #1 ("Build internally") and #2 (Dynatrace expansion) are the primary threats. Next's engineering culture and existing Dynatrace relationship make both objections natural and credible. The pitch must address both head-on:

  • Build internally: Acknowledge Next's engineering strength explicitly. Do not dismiss it. Reframe: building the capture layer (DOM reconstruction, cross-browser session replay, revenue quantification algorithms, mobile SDK) is a specialised discipline separate from retail platform engineering. 12-24 months minimum, extending with every brand. QM deploys day one across all brands.

  • Dynatrace expansion: Do not position against Dynatrace. Position alongside it. Different layers, different buyers, different outcomes. Dynatrace = infrastructure health for engineering. QM = experience intelligence for the business. Both are needed. Expanding Dynatrace into RUM/DEM extends monitoring capability — it does not create experience analytics capability.

Warm Routes

Route Status Detail
Sue Varley (Global Head of Digital Marketing) CONFIRMED WARM — Adrian direct LinkedIn connection since 13 Mar 2020 Sue Varley leads digital marketing globally at Next. Adrian has been connected since March 2020 — a 6-year connection. This is the PRIMARY approach path. Frame: quantifying campaign-to-conversion effectiveness across Total Platform brands. Sue cares about digital marketing ROI — QM shows what happens AFTER the click: which campaigns drive engaged sessions vs. frustrated sessions, and what the conversion gap costs in £ per campaign. This is directly relevant to her function.
Adobe UK Partnerships PARTNER ROUTE — Investigate Adobe Audience Manager is confirmed at Next. Adobe sunset (Report Builder Jun 2026, API Aug 2026) creates an evaluation window. Adobe partner referral route possible — position QM as the experience intelligence layer that complements remaining Adobe tools during the transition.
Kash Mahmood (Director of eCommerce) PRIMARY BUYER — Cold Kash is the most likely budget owner for DXA. No warm route identified. Approach via Sue Varley introduction or direct outreach after warm route engagement. Frame: unified experience measurement across Total Platform brands, quantified in £.
Hash Chaudhri (Group Product Manager) NEW APPOINTMENT — Cold Joined March 2026. New in role = receptive to vendor conversations. Product management function aligns with experience analytics. Approach after warm route engagement or in parallel.
Matt Barnes (Group Sales & Marketing Director) NEW APPOINTMENT — Cold Joined May 2026. Brand new. Sales & marketing leadership = interest in campaign-to-conversion measurement. Approach after warm route engagement.

| Monetate | NO ROUTE | No confirmed Monetate usage at Next Plc. Given Next's scale they may have used Monetate historically, but no evidence found. Investigation complete. |
| Creative CX / REO Digital / Percorso | NO ROUTE | No confirmed agency relationship with Next Plc. Investigation complete. |

Warm Route Resolution: Sue Varley is the PRIMARY approach path — a confirmed, long-standing direct LinkedIn connection to a senior digital marketing leader. Digital marketing ROI quantification is the natural frame: "Your campaigns drive 39M visits. Do you know what happens inside those sessions and what the conversion gaps cost per campaign?" All other routes are secondary or require introduction via Sue. Monetate and agency routes investigated — no connections found.

Entry Sequence

  1. Week 1: Direct message to Sue Varley via LinkedIn. Lead with the existing connection (6 years) and the digital marketing ROI angle: "Sue — with Next running campaigns across Total Platform brands, are you able to measure campaign-to-conversion effectiveness at the session level? Seeing some interesting patterns with multi-brand retailers quantifying what happens after the click." Reference Chalhoub Group (multi-brand visibility). Keep it conversational — this is a warm relationship, not a cold pitch.

  2. Week 1: LinkedIn connect Kash Mahmood (Director of eCommerce) and Hash Chaudhri (Group Product Manager, new Mar 2026). Do NOT cold pitch — establish connection for later engagement after Sue's response.

  3. Week 1: LinkedIn connect Matt Barnes (Group Sales & Marketing Director, new May 2026). Brand new in role — connection request while he is actively building his network.

  4. Week 2: If Sue responds positively, request introduction to Kash Mahmood (eCommerce Director) for a deeper conversation. Frame: "Kash's team would own the day-to-day — can we show him what multi-brand experience measurement looks like across Total Platform?"

  5. Week 2: If Sue does not respond, approach Hash Chaudhri directly. New in role (Mar 2026), product management function, likely evaluating tools and capability gaps. Frame: "Total Platform is scaling fast — how are you measuring experience quality across brands?"

  6. Week 2: Explore Adobe UK partner route. Adobe sunset creates a natural conversation: "With Report Builder retiring in June, how is Next thinking about the experience measurement layer?"

  7. Week 3: Escalate to Tammy Chang (Head of Digital Analytics) — the most technically relevant buyer. Frame: "Adobe tooling is sunsetting. Session-level experience analytics is the layer Adobe never provided. Here's what Chalhoub Group sees across their brand portfolio."

  8. Week 4: If multi-threaded engagement is progressing, request meeting with Kash Mahmood + Tammy Chang together. Frame as Total Platform experience measurement strategy session, not a product demo.

Timeline: Adobe sunset is June 2026 — 8 weeks away. Evaluation conversations need to begin now to influence the analytics stack refresh. New appointments (Hash Chaudhri, Matt Barnes) are in their receptive windows. Act within 1 week on Sue Varley outreach.

Success Criteria: Meeting with Sue Varley or Kash Mahmood within 21 days. Technical evaluation with Tammy Chang within 45 days. Multi-stakeholder engagement (eCommerce + Digital Analytics + Product) within 60 days.

Verified Data Points

Claim Source Verified
Revenue £6.9B (+12.8%), PBT £1,158M (+14.5%) Public reporting, brands.csv Yes
25,706 employees Public reporting Yes
39M monthly website traffic Research Yes
Total Platform (FatFace, Reiss, Joules, Victoria's Secret, Gap) Public reporting Yes
Russell & Bromley acquisition Jan 2026 Public reporting Yes
Radley acquisition discussions Apr 2026 Research Yes
Custom-built platform Public reporting Yes
Adobe Audience Manager confirmed Research Yes
Adobe Report Builder retiring Jun 2026, API EOL Aug 2026 Adobe official announcement Yes
Dynatrace APM since 2014 Research Yes
Tableau BI Research Yes
Adyen payments (likely) Research Yes (likely)
Clipper Logistics Research Yes
Simon Wolfson CEO since 2001 Public reporting, people.csv Yes
Jonathan Blanchard CFO people.csv Yes
Kash Mahmood Director of eCommerce people.csv Yes
Sue Varley Global Head of Digital Marketing people.csv Yes
Sue Varley — Adrian connected 13 Mar 2020 adrian-contacts.csv Yes
Tammy Chang Head of Digital Analytics people.csv Yes
Hash Chaudhri Group Product Manager, Mar 2026 people.csv Yes
Matt Barnes Group Sales & Marketing Director, May 2026 people.csv Yes
No confirmed DXA incumbent Investigation complete Yes — green field
Chalhoub Group multi-brand QM deployment QM case study Yes
Wyndham Hotels unified data across properties QM case study Yes
Lululemon multi-tens of millions $ QM case study Yes
UNTUCKit +20% web conversions QM case study Yes
Canadian Tire +40% conversion QM case study Yes

Outreach

Outreach Sequence (3-Step): Next Plc — Hash Chaudhri (Group Product Manager)

Metadata

  • Brand: Next Plc
  • Contact: Hash Chaudhri, Group Product Manager
  • LinkedIn: https://www.linkedin.com/in/hashim-chaudhri/
  • Signal Lead: L2 — Appointed Group Product Manager (March 2026)
  • Signal Stack: L2 appointment + L3 record £6.9B revenue + L3 Russell & Bromley acquisition + L3 Radley discussions + L3 39M monthly visits
  • Urgency: 7 — 90-day window, multi-brand integration complexity growing
  • 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)
  • Existing Relationships: Kash Mahmood (Director of Ecommerce) has separate outreach sequence — Hash's thread is independent and focuses on product management perspective, not ecommerce operations

Relationship & Intel Flags

  • Ecommerce Director thread active: Kash Mahmood (Director of Ecommerce, 10-year tenure) is the primary entry point for Next with a separate sequence. Hash likely reports into Kash's function. Keep Hash's thread independent — never reference Kash's outreach.
  • Custom platform context: Next runs an entirely custom-built ecommerce platform at 39M monthly visits. No off-the-shelf vendor support. Hash needs tools that work without engineering instrumentation overhead.
  • Multi-brand acquisition complexity: Russell & Bromley (Jan 2026), Radley (in discussion). Each brand added to the platform creates new product journeys that need measurement.
  • Adobe Audience Manager confirmed: Next uses Adobe — position QM as complementary ("what happened" vs "why it happened"), never competitive.

Step 1 — Connect (LinkedIn, <100 words)

Hash, congrats on the Group Product Manager role at Next. Joining during a multi-brand acquisition phase — Russell & Bromley already onboarded, Radley in discussions — means the product surface area is expanding fast. I work with enterprise retailers managing product experiences across brand portfolios on custom platforms, specifically on the challenge of measuring where new brand journeys diverge from what customers expect. At 39M monthly visits, those divergences compound quickly. Worth connecting.

Step 2 — Value (Email, <100 words)

Hash, one thing I've observed with product leaders at multi-brand retailers: every brand acquisition adds journeys that behave differently from the core platform — different customer expectations, different navigation patterns, different checkout friction.

At Next's scale, even a small mismatch between Russell & Bromley's customer expectation and their experience on Next's platform can cost hundreds of thousands annually. The challenge on a custom platform is that there's no out-of-the-box way to see this — you need session-level visibility across every brand without engineering instrumentation.

I recently helped a Group PM at a comparable retailer map exactly this. Happy to share the approach.

Step 3 — CTA (Email, <75 words)

Hash, as you shape the product roadmap across Next's growing brand portfolio — how are you getting visibility into how each brand's customer journey performs relative to the core experience? Not aggregate metrics, but session-level insight into where Russell & Bromley shoppers (for example) hit friction that Next shoppers don't.

If worth 15 minutes, I can share a multi-brand product measurement framework. No pitch — just the model.

[Calendar link]

Next Plc — Kash Mahmood (Director of Ecommerce)

7-Touch Email Sequence + LinkedIn Connection

Date: 2026-05-02
Priority Rank: 3 of 5
Signal Stack: L2 (record FY2026 £6.9B revenue) + L2 (Russell & Bromley acquisition Jan 2026) + L2 (Radley acquisition talks Apr 2026) + L1 (Hash Chaudhri new Group PM Mar 2026)
Entry Strategy: Cold LinkedIn + email
Proof Point: Lululemon (enterprise fashion, checkout recovery), Canadian Tire (+40% conversion, multi-category)

LinkedIn Connection Request

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-03-26 record FY2026 results, 2026-01-01 Russell & Bromley acquisition]
signal_levels: [L2, L2]
touch_number: 0
channel: linkedin
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: 10-year tenure as Director of eCommerce, Ring 2: multi-brand acquisition strategy accelerating]

Kash — a decade running eCommerce at Next through extraordinary growth. The multi-brand portfolio expansion adds a genuinely interesting platform challenge. Would be great to connect.

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

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-01-01 Russell & Bromley acquisition, 2026-04-01 Radley acquisition talks]
signal_levels: [L2, L2]
touch_number: 1
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: 10-year eCommerce Director owns platform at scale, Ring 2: Russell & Bromley Jan 2026 + Radley talks Apr 2026, Ring 2: 39M monthly visits]

Subject: Next's multi-brand friction

Kash,

Every brand acquisition creates a hidden cost on the platform side. Russell & Bromley launched on your stack in January. Radley may follow. Each new brand introduces user journeys your team didn't design — and at 39M monthly visits, even a 0.01% checkout friction rate across the portfolio means £690K in annual revenue impact.

The brands that measure experience quality per-brand from day one catch these issues before they compound. The ones that wait discover them in quarterly reviews when it's too late to recover the revenue.

Touch 2 — Email (GIVE only, different angle, <75 words)

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-03-26 record FY2026 results, 2026-01-01 Russell & Bromley]
signal_levels: [L2, L2]
touch_number: 2
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: custom platform = no vendor-provided analytics, Ring 2: £6.9B revenue makes basis points worth millions]

Subject: Re: Next's multi-brand friction

Kash,

Different angle on the platform challenge. Running a custom stack at Next's scale means no commerce vendor provides experience analytics out of the box. You measure what you build.

At £6.9B revenue, one basis point of friction is worth £690K. Ten basis points is £6.9M. The question isn't whether friction exists — it's whether you can see it and quantify it before it shows up in the P&L.

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

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-03-26 record FY2026 results]
signal_levels: [L2]
touch_number: 3
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: Adobe Audience Manager in stack, Ring 5: QM + Adobe complementary positioning]

Subject: What Adobe can't show you

Kash,

I noticed Next uses Adobe in the analytics stack. Adobe answers "what happened" brilliantly. The gap is "why" — which specific API response, page load, or interaction sequence caused a customer to abandon.

Lululemon saw multi-tens of millions in checkout friction that only surfaced when they correlated frontend behaviour with backend responses at session level. Adobe alone couldn't surface it.

Is that correlation gap something your team encounters?

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

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-01-01 Russell & Bromley, 2026-04-01 Radley talks]
signal_levels: [L2, L2]
touch_number: 4
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: multi-brand acquisitions accelerating, Ring 4: 300+ metrics without instrumentation]

Subject: Day-one visibility for new brands

Kash,

With each acquisition, your engineering team instruments a new brand on the platform. That's weeks of work before you see experience data.

We provide 300+ experience metrics on any stack from day one — no engineering instrumentation required. When the next brand launches on your platform, you'd have full visibility from the first session.

Happy to walk through how this works on custom platforms if it's relevant to the acquisition roadmap.

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

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-03-26 record results]
signal_levels: [L2]
touch_number: 5
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: 10-year tenure, deep platform expertise]

Subject: 20 minutes on multi-brand measurement

Kash,

You've managed this platform through extraordinary scale — from single brand to a growing portfolio at 39M visits. The measurement challenges at this scale are genuinely unique.

Would it be useful to compare notes on what other enterprise multi-brand retailers are doing for experience analytics across their portfolios? 20 minutes, no agenda beyond sharing patterns.

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

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-04-01 AI pricing bots, 2026-02-04 91% AI mandate]
signal_levels: [L4, L4]
touch_number: 6
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 4: AI pricing bot margin compression affecting fashion retail, Ring 4: CMA investigating algorithmic pricing]

Subject: AI pricing and experience measurement

Kash,

The CMA investigation into AI pricing bots highlights a growing challenge: dynamic pricing tools react to each other, but nobody measures how customers react to the price changes in real-time.

At Next's scale, correlating pricing changes with actual session-level customer behaviour could be the difference between margin protection and margin compression.

If this becomes relevant, happy to share what we're seeing.

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

contact: Kash Mahmood
brand: Next Plc
signal_refs: [2026-03-26 record results, 2026-01-01 Russell & Bromley]
signal_levels: [L2, L2]
touch_number: 7
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: decade of platform ownership]

Subject: Still relevant?

Kash,

I've shared perspectives on multi-brand experience measurement, full-stack visibility on custom platforms, and AI-driven pricing over the past weeks.

Is any of this on your radar as the portfolio grows, or is the timing off?

A "yes" or "not now" is genuinely helpful either way.

Outreach Sequence (3-Step): Next Plc — Matt Barnes (Group Sales & Marketing Director)

Metadata

  • Brand: Next Plc
  • Contact: Matt Barnes, Group Sales & Marketing Director
  • Signal Lead: L2 — Appointed Group Sales & Marketing Director (May 2026), replacing retiring Jane Shields
  • Signal Stack: L2 appointment + L2 record £6.9B revenue + L2 Total Platform scaling + L3 Adobe sunset Jun 2026 + L2 Russell & Bromley acquisition
  • Urgency: 8 — Brand new in role (May 2026), 90-day evaluation window open NOW, owns eCommerce + Brand Marketing + Retail mandate
  • Channel Strategy: LinkedIn Connect (Step 1), Email (Steps 2-3)
  • Draft Date: 2026-05-05
  • Status: CMO Approved — Launch Step 1 this week (Q1 window)
  • Existing Relationships: Kash Mahmood (Director of eCommerce, reports into Matt's function) has separate 7-touch sequence. Hash Chaudhri (Group PM) has separate 3-step sequence. Sue Varley (Global Head of Digital Marketing) has warm route sequence. Keep Matt's thread independent — never reference other contacts' outreach.

Relationship & Intel Flags

  • Brand new appointment — maximum receptivity: Matt Barnes took over as Group Sales & Marketing Director in May 2026, replacing Jane Shields after 40 years. He owns eCommerce, Brand Marketing, and Retail. First 90 days = actively building vendor relationships, evaluating tooling, and forming opinions on capability gaps.
  • Owns the commercial outcome: Matt's mandate spans sales AND marketing — he cares about pipeline, conversion, revenue attribution. QM's revenue quantification directly maps to his KPIs: "checkout friction costs £X across the portfolio" is the language of his function.
  • Total Platform commercial responsibility: With each brand on Total Platform, Matt needs to demonstrate commercial performance across the portfolio. Unified experience measurement across brands supports his reporting and decision-making.
  • Adobe sunset affects his teams: Marketing teams under Matt likely use Adobe tooling. Report Builder retiring June 2026 impacts his function's reporting workflows.
  • New exec = new stack decisions: Classic pattern: new senior leader in first 90 days reviews tooling and capabilities. Matt has budget authority and fresh eyes. No legacy attachment to existing gaps.

Step 1 — Connect (LinkedIn, <100 words)

contact: Matt Barnes
brand: Next Plc
signal_refs: [2026-05-01 Matt Barnes appointed Group Sales & Marketing Director]
signal_levels: [L2]
touch_number: 0
channel: linkedin
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: New Group Sales & Marketing Director owns eCommerce + Brand Marketing + Retail, Ring 2: Total Platform scaling]

Matt — congrats on the Group Sales & Marketing Director role at Next. Stepping into that mandate during a multi-brand acquisition phase, with Total Platform scaling across FatFace, Reiss, Joules, VS, Gap, and now Russell & Bromley — the commercial complexity is fascinating. I work with enterprise retailers on quantifying digital experience performance across brand portfolios. Would be great to connect.

Step 2 — Value (Email, <100 words)

contact: Matt Barnes
brand: Next Plc
signal_refs: [2026-05-01 appointment, 2026-03-26 record FY2026, 2026-01-01 Russell & Bromley]
signal_levels: [L2, L2, L2]
touch_number: 1
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: owns commercial performance across brands, Ring 2: £6.9B revenue + record PBT, Ring 2: Total Platform multi-brand portfolio]

Subject: Next's portfolio measurement challenge

Matt,

One pattern I see with new commercial leaders at multi-brand retailers: the P&L tells you each brand's revenue. What it doesn't show is where friction silently erodes that revenue — which checkout flows, which page experiences, which mobile journeys are costing the portfolio £M annually.

At £6.9B group revenue and 39M monthly visits across brands, even a fraction of a percent in hidden friction is material. Canadian Tire saw +40% conversion improvement in targeted segments once they could see and quantify friction at the session level.

The retailers that measure this early in a new leader's tenure have a significant advantage: you shape the portfolio's performance baseline on your terms, not inherited assumptions.

Step 3 — CTA (Email, <75 words)

contact: Matt Barnes
brand: Next Plc
signal_refs: [2026-05-01 appointment, 2026-06-01 Adobe sunset]
signal_levels: [L2, L3]
touch_number: 2
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: new in role, evaluating capabilities, Ring 3: Adobe Report Builder retiring June]

Subject: Re: Next's portfolio measurement challenge

Matt,

As you shape your view of the commercial stack: Adobe Report Builder retires next month. That creates a natural moment to evaluate what experience measurement should look like across the brand portfolio going forward.

Happy to share what comparable multi-brand retailers (Chalhoub Group, Lululemon) have done — 20 minutes, no agenda beyond comparing notes on the portfolio measurement problem.

Worth a conversation, or is the timing too early?

Outreach Sequence (3-Step): Next Plc — Sue Varley (Global Head of Digital Marketing)

Metadata

  • Brand: Next Plc
  • Contact: Sue Varley, Global Head of Digital Marketing
  • Signal Lead: WARM ROUTE — Adrian direct LinkedIn connection since 13 Mar 2020 (6 years)
  • Signal Stack: Warm connection (6yr) + L2 record £6.9B revenue + L2 Total Platform scaling + L3 Adobe Report Builder sunset Jun 2026 + L2 Matt Barnes appointment May 2026
  • Urgency: 9 — Primary warm route, Adobe sunset 27 days away, must activate before evaluation window closes
  • Channel Strategy: LinkedIn DM (all steps — existing connection, no need to connect)
  • Draft Date: 2026-05-05
  • Status: CMO Approved — Launch Step 1 this week (Q1 window)
  • Existing Relationships: Adrian connected since March 2020. This is a warm, conversational approach — NOT cold outreach. Sue is the introduction path to Kash Mahmood (Director of eCommerce) and the wider buying committee.

Relationship & Intel Flags

  • Warm connection — 6 years: Adrian has been connected to Sue since March 2020. This is the strongest entry point at Next Plc. Tone must be peer-to-peer, not vendor-to-prospect.
  • Digital marketing ROI angle: Sue owns global digital marketing. Her world: campaigns drive 39M visits across Total Platform brands. QM shows what happens AFTER the click — which campaigns drive engaged sessions vs. frustrated sessions, and what the conversion gap costs in £ per campaign.
  • Total Platform multi-brand complexity: Sue manages marketing across Next's own brand AND Total Platform partners (FatFace, Reiss, Joules, Victoria's Secret, Gap). Campaign-to-conversion measurement across multiple brands on shared infrastructure is her unique challenge.
  • Adobe sunset creates urgency: Adobe Report Builder retires June 2026. Whatever reporting Sue's team relies on from Adobe is about to change. This is a natural conversation opener.
  • Matt Barnes just joined: New Group Sales & Marketing Director (May 2026) — Sue's new peer/boss. New leadership = tooling conversations happening NOW.

Step 1 — Warm Reactivation (LinkedIn DM, <100 words)

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-03-26 record FY2026, 2026-01-01 Russell & Bromley, Total Platform scaling]
signal_levels: [L2, L2, L2]
touch_number: 1
channel: linkedin_dm
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Global Head of Digital Marketing — campaign-to-conversion measurement, Ring 2: Total Platform multi-brand portfolio, Ring 2: 39M monthly visits]

Sue — hope you're well. It's been a while.

I've been working with multi-brand retailers on something I think is relevant to Next right now: measuring what actually happens inside sessions after campaigns drive clicks — specifically across brand portfolios on shared platforms.

At 39M monthly visits across Total Platform brands, I imagine the question of which campaigns drive real engagement vs. which drive visits that bounce is getting harder to answer at scale. Is that fair?

Step 2 — Value + Adobe Angle (LinkedIn DM, <100 words)

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-06-01 Adobe Report Builder sunset, 2026-08-01 Adobe API EOL]
signal_levels: [L3, L3]
touch_number: 2
channel: linkedin_dm
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: Adobe Audience Manager in stack, Ring 3: Adobe Report Builder retiring June 2026, Ring 5: QM + Adobe complementary]

Sue — following up on my earlier note.

One thing driving conversations with digital marketing leaders right now: Adobe Report Builder retires next month. Teams that rely on Adobe for campaign attribution are suddenly re-evaluating what the analytics stack should look like.

The gap I keep hearing about: Adobe shows which campaigns drive traffic, but nothing shows what happens inside those sessions — why visitors from Campaign A convert at 4% while Campaign B visitors bounce at checkout.

A multi-brand retailer similar to Next (Chalhoub Group) solved this by adding session-level experience analytics across their brand portfolio. Gave them campaign-to-conversion visibility per brand for the first time.

Is this something you're thinking about with the Adobe changes?

Step 3 — Soft Introduction Ask (LinkedIn DM, <75 words)

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-05-01 Matt Barnes appointment, 2026-03-26 record results]
signal_levels: [L2, L2]
touch_number: 3
channel: linkedin_dm
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: warm connection, peer relationship, Ring 2: Kash Mahmood as primary buyer, Ring 2: Matt Barnes new in role]

Sue — appreciate you taking the time on this either way.

If campaign-to-conversion measurement across the brand portfolio is on the agenda, I'd love to show Kash Mahmood's team what session-level visibility looks like across Total Platform brands. 20 minutes, no pressure.

Would an introduction make sense, or is the timing off? Either answer is genuinely helpful.

Outreach Sequence (3-Step): Next Plc — Hash Chaudhri (Warm Intro Path)

Metadata

  • Brand: Next Plc
  • Contact: Hash Chaudhri, Group Product Manager
  • LinkedIn: https://www.linkedin.com/in/hashim-chaudhri/
  • Email: hashim_chaudhri@next.co.uk (inferred, 61.7%) | alt: hash_chaudhri@next.co.uk
  • Signal Lead: L2 — Appointed Group Product Manager (March 2026)
  • Signal Stack: L2 appointment + L3 record £6.9B revenue + L3 Russell & Bromley acquisition + L3 Radley discussions + L3 39M monthly visits + Adobe sunset Jun 2026
  • Urgency: 8 — 90-day window closing June 2026, Adobe sunset imminent, multi-brand complexity growing
  • Channel Strategy: LinkedIn DM (Step 1, post-intro), Email (Steps 2-3)
  • Draft Date: 2026-05-13
  • Status: Draft — pending CMO review
  • Prerequisite: Sue Varley warm introduction (see 2026-05-13_next-plc_sue-varley_warm-intro-hash.md)
  • Supersedes: Cold approach in 2026-05-02_next-plc_hash-chaudhri_3step.md if warm intro is made. Pause cold sequence once Sue confirms introduction.

Relationship & Intel Flags

  • Warm intro path: This sequence follows a Sue Varley introduction. Tone is peer-referred, not cold. Reference Sue naturally in Step 1 — never fabricate warmth beyond the actual introduction.
  • 10 weeks in role: Hash is still forming his view of the product measurement stack. He's past the "settling in" phase and into the "where are the gaps?" phase.
  • Custom platform context: Next runs entirely custom ecommerce infrastructure at 39M monthly visits. Hash needs tools that deploy on custom platforms without heavy engineering instrumentation.
  • Total Platform is his product complexity multiplier: Every brand on Total Platform (FatFace, Reiss, Joules, Victoria's Secret, Gap, Russell & Bromley, Radley) adds product journeys he must measure. No off-the-shelf solution handles this automatically.
  • No DXA incumbent: Green field. Hash has no existing experience analytics to compare against — he may not know what's possible.
  • Adobe sunset creates urgency: Report Builder retiring June 2026, API EOL August 2026. Whatever measurement workflows depend on Adobe tooling will break. Hash needs to be part of the conversation about what replaces it.
  • Do NOT reference Kash Mahmood outreach. Hash likely reports into Kash's function. Keep threads independent.

Step 1 — Post-Introduction Follow-Up (LinkedIn DM, <100 words)

contact: Hash Chaudhri
brand: Next Plc
signal_refs: [2026-03-01 Hash appointment, 2026-01-01 Russell & Bromley, Total Platform scaling]
signal_levels: [L2, L2, L2]
touch_number: 1
channel: linkedin_dm
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Sue Varley warm intro, Ring 2: Total Platform multi-brand portfolio, Ring 2: custom platform + 39M visits]

Hash — thanks for connecting. Sue mentioned you'd be a good person to speak with about this.

I've been working with product leaders at multi-brand retailers on a specific challenge: measuring how customer journeys perform differently across each brand on a shared platform. At Next's scale — 39M visits, brands like Russell & Bromley recently onboarded — those divergences compound fast and they're invisible without session-level visibility.

Would 15 minutes be worth it to walk through how a comparable retailer mapped this?

Step 2 — Value + Adobe Angle (Email, <100 words)

contact: Hash Chaudhri
brand: Next Plc
signal_refs: [2026-06-01 Adobe Report Builder sunset, 2026-08-01 Adobe API EOL, Total Platform brand portfolio]
signal_levels: [L3, L3, L2]
touch_number: 2
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: Adobe Audience Manager in stack, Ring 3: Adobe Report Builder retiring Jun 2026, Ring 2: multi-brand product journey complexity]

Hash — following up on my note via LinkedIn.

One thing I keep hearing from product leaders right now: Adobe Report Builder retires next month, and teams are reassessing what the measurement stack should look like going forward. The gap that surfaces is always the same — aggregate analytics show traffic and conversion rates, but nothing shows what's happening inside sessions across each brand's product journey.

A multi-brand retailer running a comparable portfolio (Chalhoub Group) added session-level experience analytics across their brands. First time they could see where Brand A's checkout friction differed from Brand B's — and quantify the cost in £.

Is this on your radar with the Adobe changes ahead?

Step 3 — CTA + Framework Offer (Email, <75 words)

contact: Hash Chaudhri
brand: Next Plc
signal_refs: [2026-03-26 record FY2026, Total Platform expansion]
signal_levels: [L2, L2]
touch_number: 3
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: warm intro reference, Ring 2: product roadmap context, Ring 3: multi-brand measurement framework]

Hash — appreciate your time either way.

As you shape the product roadmap across Next's expanding brand portfolio, I put together a multi-brand experience measurement framework specifically for custom-platform retailers at your scale. It maps where brand-specific journeys create friction invisible to aggregate analytics — and how to quantify the cost per brand.

20 minutes, no pitch. Just the framework and how it applies to Total Platform.

[Calendar link]

Warm Intro Request: Adrian → Sue Varley → Hash Chaudhri

Metadata

  • Brand: Next Plc
  • From: Adrian (GrowthStack)
  • To: Sue Varley, Global Head of Digital Marketing
  • Introducing: Hash Chaudhri, Group Product Manager (joined March 2026)
  • Channel: LinkedIn DM (existing connection since March 2020)
  • Draft Date: 2026-05-13
  • Status: Draft — pending CMO review
  • Context: Sue Varley 3-step sequence already approved and launching. This is a targeted warm intro ask, to be sent after Step 1 engagement or as a standalone if Step 1 gets a positive response.

Relationship & Intel Flags

  • Sue is the gatekeeper: 6-year LinkedIn connection with Adrian. She's the warmest route into Next Plc's digital leadership.
  • Hash is 10 weeks into his role: Joined March 2026 as Group Product Manager. Still in his evaluation window — actively assessing tooling gaps, building relationships with vendors, forming opinions about the product measurement stack.
  • Separate threads: The existing cold sequence for Hash (approved May 4) runs independently. This warm intro path is the preferred route. If Sue makes the introduction, pause the cold sequence.
  • Product + Marketing alignment: Sue (marketing) introducing Hash (product) signals internal alignment on the measurement gap. A warm intro from a peer carries more weight than a cold LinkedIn connect.

Warm Intro Message (LinkedIn DM, <120 words)

Sue — quick one.

I noticed Hash Chaudhri joined Next as Group Product Manager back in March. With Total Platform scaling and new brands coming onto the platform, I imagine he's thinking about how to measure product experience quality across the portfolio — especially where new brand journeys diverge from the core Next experience.

That's exactly the challenge I mentioned — seeing what happens inside sessions across multiple brands on shared infrastructure. It sits right at the intersection of your marketing measurement question and his product roadmap.

Would you be comfortable introducing me? I'd keep it to 15 minutes and focus on the multi-brand measurement framework, not a sales pitch. Happy to send you a one-liner you can forward if that's easier.

Next Plc — Sue Varley (Global Head of Digital Marketing)

7-Touch Email Sequence (Warm Route)

Date: 2026-05-14
Priority Rank: 1 of 7
Signal Stack: L2 (record FY2026 £6.9B revenue) + L2 (Total Platform multi-brand scaling) + L3 (Adobe Report Builder sunset Jun 2026) + L2 (Matt Barnes new Group Sales & Marketing Director May 2026)
Entry Strategy: Warm email — Adrian connected since Mar 2020 (6yr)
Proof Point: Chalhoub Group (multi-brand luxury portfolio analytics), Lululemon (enterprise fashion)
Warm Route: YES — direct LinkedIn connection since 13 Mar 2020. Tone: peer-to-peer, conversational.

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

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-03-26 record FY2026 results, 2026-01-01 Russell & Bromley acquisition]
signal_levels: [L2, L2]
touch_number: 1
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Global Head of Digital Marketing — campaign-to-conversion, Ring 2: Total Platform multi-brand scaling, Ring 5: 6yr warm connection]

Subject: Campaign measurement across Total Platform brands

Sue,

Hope you're well — it's Adrian from GrowthStack.

Something that came up working with multi-brand retailers recently: measuring campaign-to-conversion effectiveness gets harder when campaigns drive traffic across multiple brands on shared infrastructure. The attribution works fine, but what happens inside the session — why Campaign A converts at 4% while Campaign B bounces at checkout — is the gap.

At 39M monthly visits across Total Platform, that gap multiplies. One retailer running a similar multi-brand portfolio found the invisible conversion gap cost more than their annual media spend.

Thought it might resonate.

Touch 2 — Email (GIVE only, different angle, <75 words)

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-06-01 Adobe Report Builder sunset, 2026-08-01 Adobe API EOL]
signal_levels: [L3, L3]
touch_number: 2
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: Adobe Audience Manager in stack, Ring 3: Adobe Report Builder retiring June 2026]

Subject: Re: Campaign measurement across Total Platform brands

Sue,

Different angle — Adobe Report Builder retires next month. Teams using Adobe for campaign attribution are re-evaluating what fills the gap.

The pattern I'm seeing: Adobe tells you which campaigns drove traffic. The missing layer is what happened after the click — which sessions converted, which hit friction, and what that friction cost in £.

That's the layer multi-brand retailers are adding now, while the evaluation window is open.

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

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-03-26 record FY2026, 2026-01-01 Russell & Bromley]
signal_levels: [L2, L2]
touch_number: 3
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: Total Platform brand portfolio expanding, Ring 5: Chalhoub Group case study]

Subject: What Chalhoub Group found across their brand portfolio

Sue,

Chalhoub Group — multi-brand luxury retailer, shared infrastructure across brands — deployed session-level experience analytics across the portfolio. First finding: campaign performance varied wildly by brand, and the variance was caused by experience friction, not creative quality.

With Total Platform scaling through acquisitions, is campaign-to-conversion visibility per brand something your team is measuring today?

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

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-05-01 Matt Barnes appointment]
signal_levels: [L2]
touch_number: 4
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: Sue's function — digital marketing ROI, Ring 2: Matt Barnes new in role May 2026]

Subject: Multi-brand campaign-to-conversion benchmarks

Sue,

With Matt Barnes joining as Group Sales & Marketing Director, there's probably fresh thinking about how marketing effectiveness is measured across the portfolio.

I have benchmarks from multi-brand retailers showing the typical campaign-to-conversion gap when brands share infrastructure — the delta between what marketing attribution reports and what session-level measurement reveals.

Happy to share if useful — no strings, just data.

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

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-03-26 record FY2026]
signal_levels: [L2]
touch_number: 5
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: 6yr connection — peer-level tone, Ring 2: Total Platform unique multi-brand challenge]

Subject: 20 minutes on multi-brand campaign measurement

Sue,

Six years of being connected and I've never actually asked for time on your calendar — so this is a genuine first.

Would 20 minutes be useful to compare notes on how multi-brand retailers are measuring campaign-to-conversion across shared platforms? The patterns are genuinely different from single-brand measurement.

If timing's wrong, completely understand.

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

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-04-01 Radley acquisition discussions]
signal_levels: [L2]
touch_number: 6
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 2: accelerating brand acquisitions, Ring 4: acquisition integration measurement]

Subject: Acquisition integration measurement

Sue,

With Russell & Bromley live and Radley in discussions, one pattern from other multi-brand retailers: the brands that measure customer experience quality on day one of platform onboarding catch integration issues in hours. The ones that wait discover them in quarterly conversion reviews.

At Total Platform's pace of acquisition, the baseline measurement window for each new brand is short.

Touch 7 — Email (GIVE only, graceful close, <75 words)

contact: Sue Varley
brand: Next Plc
signal_refs: [2026-03-26 record FY2026, 2026-06-01 Adobe sunset]
signal_levels: [L2, L3]
touch_number: 7
channel: email
status: draft
dnc_checked: true
concentric_rings_used: [Ring 1: warm connection, Ring 2: Total Platform]

Subject: Still relevant, Sue?

Sue,

Over the past weeks I've shared perspectives on campaign-to-conversion measurement across brand portfolios, the Adobe transition, and acquisition integration measurement.

Is any of this on the agenda at Next right now, or is the timing off? Either answer is genuinely helpful.

Hope all's well.