COLD IS GOLD × PROFIT INSIGHT
OPERATIONAL BRIEF · MAY 2026

A predictable flow
of new UK banking and payments clients.

This document lays out an operational plan to build a steady flow of UK financial-institution and payment-company engagements through cold email outreach — reading time ~ 6 minutes.

Read first

What you are about to read is a first take, drafted ahead of our conversation to give you a concrete preview of how we work.

The prospects, signals and projections presented here are working hypotheses — we will refine them together during the engagement.

The aim of this document is to let you picture concretely what a campaign could produce.

Scroll
01 / YOUR BUSINESS

We understand your DNA.

Profit Insight is a data-analytics and advisory firm specialising in profitability optimisation for financial institutions, founded in 1973 and headquartered in Mooresville, North Carolina, with a global delivery footprint across 60 countries on six continents. Leadership combines US and international banking veterans, including a UK-based CEO (George White) and an International President (Malek Mroueh) with deep UK and EMEA payments experience. The firm is SSAE 18 / SOC 2 Type II certified, runs all engagements on its proprietary PI3 analytics platform, and serves over 400 banks, card issuers, payment providers and credit unions. The flagship public UK case study identified between £40.2m and £68.3m of opportunities in a single 12-month review.

50+
years of FI focus
founded in 1973, built on a base of repeat-engagement banking clients
400+
FI clients served
banks, card issuers, payment providers and credit unions across 60 countries
$50bn+
strategy value identified
cumulative revenue and savings opportunities surfaced across all engagements
£40m+
found for a UK card issuer
in a single 12-month engagement, on the fourth repeat with the same client

What sets you apart

Profit Insight finds money already inside the portfolio — no new product, no new customer acquisition, no new risk. Every engagement is led by people who have actually run P&Ls inside banks, applying the proprietary PI3 platform to anonymised transaction-level data. The business model is built on becoming a recurring partner rather than a one-shot vendor: the public UK card-issuer case is a fourth engagement with the same client. SOC 2 Type II certification removes the procurement friction that sinks most US-origin firms pitching UK Tier 1s.

What we will push on your behalf

Earnings Optimisation, the flagship offer: a 12-week diagnostic on the prospect's existing book (cards, deposits, lending, fees) that surfaces 7–9 figures of recoverable revenue and leakage, with a defined Detect → Correct → Prevent methodology and proven UK precedent. The promise is measurable, risk-free, and maps directly to a CFO or Head of Cards' annual KPIs. The cold email lands on a universal pain point that every UK financial institution recognises: "we know there is yield leaking out of the back book, we just cannot prove where".

02 / YOUR MARKET

A market identified and qualified.

We start from the UK financial-services and payments universe (PRA-regulated banks, BSA building societies, FCA-authorised payment institutions, Companies House filings, sector trackers). We then map that to the people who actually buy Earnings Optimisation: CFOs, COOs, Heads of Cards / Payments / Lending / Deposits, Strategy and Risk leaders. Most large UK financial institutions carry multiple in-scope decision-makers (often 5 to 12 named buyers per Tier 1 or Tier 2 bank), so we count people, not institutions. The result spans about 770 UK institutions across nine segments — Tier 1 retail banks, challenger and digital banks, specialist card issuers, BNPL, consumer and specialist lenders, building societies, payment processors and acquirers, B2B payments and treasury fintechs, lending and wealth fintechs — for a working universe of roughly 2,300 senior decision-makers.

~2,300
decision-makers identified
across ~770 UK financial institutions and payment companies, nine segments combined
~1,150
contactable prospects
after applying the 50% ratio (named decision-maker + business email findable and verified)
~19
commercial opportunities
over 12 months (weighted mean of the 4 scenarios, 4 emails per prospect)
~4
potential new clients
over 12 months (UK B2B average closing rate: 20%) — at typical Profit Insight engagement values, roughly £500k to £1.8m of first-year invoiced revenue

How we build this database

We cross-reference the public registers (PRA, FCA, BSA), Companies House, LinkedIn Sales Navigator, sector press and event speaker lists to identify decision-makers that match your criteria. Every contact is then verified and enriched by AI: persona role check, business email validation, last-12-month news scrape per company. Impossible to do manually on a few thousand FI buyers — this is what makes qualification possible at scale.

Why 50% are contactable

Senior banking decision-makers are rarely listed in public databases with their direct business email. This 50% ratio is deliberately conservative for the segment — FI seniority levels typically yield 40% to 60% verified emails through Sales Nav, Apollo, Hunter and our enrichment stack — to give you realistic projections rather than optimistic ones.

This sizing is the maximised, defensible version of the addressable UK base. We can tighten it (Tier 1 only, card issuers only, building societies only) or push the geography wider (UK + Ireland, then EMEA) once Phase 1 of the campaign has run.
03 / PROSPECT SAMPLE

10 companies identified by our AI.

Before launching at full scale, we always start with a sample of 10 real UK financial-institution prospects, picked across the nine segments above to demonstrate that the approach works beyond a single vertical. For each one we identify a named decision-maker, surface a recent verifiable signal, and explain why the prospect fits Profit Insight’s Earnings Optimisation offer. The same method will then be applied to your full database of ~1,150 contactable decision-makers.

For each prospect, our AI identifies a concrete signal: a recent piece of news, a deal, a strategic move, an executive change. That signal justifies why to reach out now and provides the foundation for personalising the email.

This sample spans card issuers, challenger banks, building societies, Tier 1 retail banks, payment processors, B2B payments fintechs and wealth platforms — a preview of what your full UK database will look like. You will have the opportunity to validate it and steer us before the campaign goes live.

01

NewDay

John Hourican · Chief Executive Officer
UK’s largest specialist consumer credit-card issuer (own-brand cards plus the leading store-card programme portfolio).
SIGNAL DETECTED

Sep 2025: KKR agreed to acquire NewDay’s £5.2bn consumer credit receivables portfolio from Cinven and CVC. Earlier in Feb 2025, NewDay took on the Argos Financial Services store-card portfolio (£834m of receivables, 2.2m customers). Underlying H1 2025 PBT up 30% to £107m.

WHY THIS PROSPECT FOR PROFIT INSIGHT

A new owner (KKR) and a freshly-absorbed Argos portfolio is a textbook Earnings Optimisation moment. New private-credit ownership demands a clean, defensible read on portfolio economics — PI3 is built for exactly this kind of post-deal interrogation. The public UK card-issuer case study (£40m+ identified in one engagement) is the closest-fit precedent in the firm’s collateral.

02

Allica Bank

James Heath · Chief Financial Officer
Challenger bank focused on established UK SMEs. Named fastest-growing startup in Europe by the FT.
SIGNAL DETECTED

FY25 record results: revenue £371.3m (+27%), pre-tax profit £43.7m (+34%), loan book £3.7bn (+23%), deposits £5.7bn (+29%). Third consecutive profitable year; the customer base on the primary-banking-relationship metric has more than doubled.

WHY THIS PROSPECT FOR PROFIT INSIGHT

Heath spent his prior career running CFO seats at ABN AMRO UK, Cambridge & Counties and Close Brothers — he knows precisely what mature-bank fee economics look like. As Allica’s loan book scales 23%/yr, the gap between ‘good’ and ‘fully optimised’ pricing structures widens fastest. The Earnings Optimisation diagnostic gets a sharp reception from a CFO who has seen the same exercise land at three previous banks.

03

Capital on Tap

Damian Brychcy · Chief Executive Officer
SME business credit cards. Over £20bn lifetime spend across more than 200,000 small businesses in the UK and US.
SIGNAL DETECTED

Nov 2025: closed ‘London Cards 3’, a £500m asset-backed securitisation — the largest non-bank credit card ABS ever issued in Europe. May 2025: raised £650m to expand the Master Trust facility to £1.2bn (new partners: SMBC, Société Générale, Lloyds). Ranked #1 fintech in the FT’s 2025 Long-Term Growth Champions Europe list.

WHY THIS PROSPECT FOR PROFIT INSIGHT

Funding diversification at this scale puts new institutional investors directly into the cap table — they will demand granular, defensible portfolio economics. £20bn of lifetime card spend × any basis-point of recovered margin = material EBITDA contribution. Brychcy stepped into the CEO seat from COO/CPO/Product roles in Jan 2024 — the kind of operator who reads a Profit Insight one-pager and knows exactly which P&L lines it is pointing at.

04

Tide

Dr. Oliver Prill · Chief Executive Officer
UK SME business banking platform. 1.5m+ members, ~10% UK SME market share, became a unicorn in 2025.
SIGNAL DETECTED

Sep 2025: $120m strategic investment led by TPG took Tide to a $1bn valuation. Capital earmarked for international expansion (India, Germany, France), agentic-AI investment, and new accounting / payroll / credit product layers.

WHY THIS PROSPECT FOR PROFIT INSIGHT

Prill is ex-Kreditech COO and has scaled financial-services P&Ls before; he reads operating economics fast. International expansion plus new product layers means transaction-cost surface explodes — PI’s value lands hardest before unit economics drift. The pitch lands as ‘let us put a number on the leakage your COO already suspects is there’ rather than as a cold sell.

05

Coventry Building Society

Steve Hughes · Chief Executive Officer
Second-largest UK building society. Combined entity post-Co-op Bank acquisition: ~£89bn assets, 4.5m members.
SIGNAL DETECTED

1 Jan 2025: completed £780m acquisition of The Co-operative Bank (a top-10 UK lender outcome). FY25 statutory PBT £801m (vs £323m FY24), of which £584m was a day-one gain (purchase consideration ~40% below fair value of net assets). Oct 2025: consulting on 100+ redundancies as integration progresses.

WHY THIS PROSPECT FOR PROFIT INSIGHT

Two large institutions integrating into one is the single highest-yield environment for Earnings Optimisation. Hughes (chartered management accountant by training, ex-CFO at Principality) reads diagnostics fluently. The Co-op acquisition brings Coventry a card book and a current-account franchise it has never operated at scale — exactly the mature-product surface where the public UK card-issuer case study (£40m–£68m identified) is the closest precedent.

06

Lloyds Banking Group

Linda Weston · Head of Commercial Cards
Big-4 UK bank. FY25 statutory PBT £5.47bn. Tier 1 retail and commercial franchise.
SIGNAL DETECTED

Weston was appointed to the newly created role of Head of Commercial Cards in Jun 2024 — building the function out from scratch. Mar 2025: Lloyds launched Visa-enabled Virtual Cards for B2B supplier payments via a Taulia / SAP partnership, and consolidated cards / payments / trade-invoice-finance teams into a single Transaction Banking Solutions unit.

WHY THIS PROSPECT FOR PROFIT INSIGHT

A brand-new commercial cards function inside a Tier 1 bank is the perfect moment for an external diagnostic — it is being built deliberately, has board visibility, and has clean budget headroom. Weston brings 25 years of cards experience from Barclaycard, J.P. Morgan and RBS, so the Profit Insight pitch lands in vocabulary she already speaks (interchange, MIF, fee waterfall, virtual-card supplier-side stickiness).

07

Zopa Bank

Jaidev Janardana · Group Chief Executive Officer
Digital bank with full UK licence. £6.4bn deposits, £3.8bn loans, 1.7m customers across savings, lending and everyday banking.
SIGNAL DETECTED

FY25 results: PBT doubled to £65m (third consecutive profitable year), revenue +24% to £377m, deposits +17%, loans +23%, customer base 1.7m (+500k gross new). Launched current accounts and an Investments product during the year. Cost-to-income ratio 34.8% (category-leading).

WHY THIS PROSPECT FOR PROFIT INSIGHT

Multi-product expansion (loans + savings + current accounts + investments + cards) means multi-P&L means multi-layered leakage opportunity. Janardana publicly targets continued profit doubling — Earnings Optimisation is a measurable lever at exactly the right moment in the bank’s life-cycle. The category-leading 34.8% CIR shows operational discipline, but every basis-point of yield improvement on a £3.8bn loan book = £380k of recurring contribution.

08

Dojo

Amos Teshuva · CEO & Co-founder
UK SME card-payment processor and merchant acquirer (formerly Paymentsense). FY25 payment volume £46.2bn.
SIGNAL DETECTED

FY25 (year to Mar 2025): payment volume +8% to £46.2bn, turnover +11% to £455m, but gross profit only +4% to £226m and operating profit collapsed to £17m. Pre-tax loss £75m. Accumulated losses now £720m. Apr 2025: $190m equity injection from a new investor. Now expanding into Italy and Spain.

WHY THIS PROSPECT FOR PROFIT INSIGHT

The numbers tell the story: volumes still growing but margins compressing fast. £46bn of annual payment volume × even a 5–10 bp leakage recovery = £25–45m / year. Revenue assurance, pricing/margin management and audit reviews are PI’s three named focus areas inside Earnings Optimisation — a 1:1 fit with what Dojo’s P&L is screaming for. Fresh equity from a new investor will have come with covenants on margin trajectory.

09

Modulr

Myles Stephenson · Founder & CEO
B2B embedded-payments platform. Processes £180bn+ and 200m+ transactions per year across UK and Europe.
SIGNAL DETECTED

2025: reported its first full-year net profit (Stephenson called it an ‘important milestone’). 10-year anniversary year. PayPal-backed. No external fundraise planned — future growth funded from cashflow.

WHY THIS PROSPECT FOR PROFIT INSIGHT

Now-that-we-are-profitable companies enter a different operating phase: the next 12 months is about expanding margin, not chasing growth at any cost. £180bn of payment value × any basis-point of fee or cost optimisation is material EBITDA. Stephenson is a founder-CEO who built and sold a UK prepaid business (CorporatePay) before — receptive to a diagnostic that puts a number on the optionality.

10

AJ Bell

Peter Birch · Chief Financial Officer
UK investment platform serving consumers and advisers. AUA £103.3bn, 644k customers (FY25).
SIGNAL DETECTED

FY25 (year to 30 Sep 2025): AUA +19% to £103.3bn, customers +19% to 644k, ~102k net new clients. From 1 Jan 2025, Birch took on Group operational responsibilities in addition to CFO (after COO Roger Stott retired Dec 2024). Meanwhile, Hargreaves Lansdown cut its platform fee from 0.45% to 0.35% in 2025 — ratcheting fee-compression pressure on the entire UK platform sector.

WHY THIS PROSPECT FOR PROFIT INSIGHT

Birch is now operationally accountable for the cost base and financially accountable for the income statement — rare combination, ideal Profit Insight buyer. £103bn AUA × any basis-point of recovered yield = millions of recurring contribution. HL’s fee cut means every UK platform now needs a defensible answer to ‘where can we recover what we just gave up at the headline?’. Birch’s Deloitte audit background = high tolerance for analytics-led diagnostic.

04 / AI PERSONALISATION

Emails that look written by hand.

The difference between an email that gets ignored and an email that gets a reply is rarely the offer itself, it is the first sentence. When a UK bank CFO or Head of Cards opens an email and reads a sentence that names a specific number from their last results, a recent strategic move they signed off, or something they themselves said publicly, the email earns the right to keep going. Cold is Gold’s AI workflow extracts those facts at scale across hundreds of UK financial-institution prospects, then weaves them into the opening line of each email so every message reads as if a human spent two minutes researching the recipient. No flattery, no horoscope copy, no “I came across your website” generic openings, just a precise, verifiable fact in the buyer’s own vocabulary, tied directly to the Earnings Optimisation pitch.

The principle: when a CFO or COO reads the email, they should think “this person looked into me”, not “this is a bot”. Every opening sentence cites a precise, verifiable fact in UK banking vocabulary — basis points, front book vs back book, fee waterfall, supplier-side stickiness.

Here are the 3 types of signals we would use to personalise every email sent on your behalf, stacked from most-findable to most-personal so the AI pipeline always has a clean fallback.

01

Latest published financial result

What we look for The prospect’s most recent annual or interim result, plus the one number in it that signals where the P&L is under tension or in growth (PBT, revenue, loan book, deposits, AUA, payment volume, gross margin, cost-to-income).
Where we find it Investor relations pages · RNS announcements · Companies House filings · FT · Finextra · FintechFutures · The Banker
Findable on 90% of prospects
Raw data

Allica Bank FY25 results published Apr 2026: revenue £371.3m (+27%), pre-tax profit £43.7m (+34%), loan book £3.7bn (+23%), deposits £5.7bn (+29%). Third consecutive profitable year.

AI personalisation →

“Read your FY25 numbers. 23% loan-book growth alongside 27% revenue growth suggests the front book is outpacing the back book on yield, which is usually the moment a portfolio review pays for itself.”

02

Recent strategic event

What we look for The most recent material corporate event in the last 6 to 12 months: acquisition or integration, capital raise, securitisation, product launch, FCA / PRA authorisation, executive hire, geographic expansion.
Where we find it Company press releases · Finextra · FintechFutures · Business of Payments · Mortgage Solutions · Investment Week · LinkedIn company page
Findable on 75% of prospects
Raw data

Coventry Building Society completed its £780m acquisition of The Co-operative Bank on 1 January 2025, producing a £584m day-one gain. Currently consulting on 100+ redundancies as integration progresses.

AI personalisation →

“Now that the Co-op deal is closed, you’ve inherited a card book and a current-account franchise at a scale Coventry has not run before. Year one of integration is usually where the largest hidden yield-pockets sit, and it is the closest fit to the UK card-issuer engagement we have publicly written about.”

03

Public statement by the named decision-maker

What we look for Something the named decision-maker personally said in the last 12 months: quote in a press article, panel comment, podcast line, LinkedIn post, or the CEO / CFO commentary inside their company’s own results PDF.
Where we find it Personal LinkedIn · industry podcasts · conference recordings · trade-press interviews · results PDF commentary
Findable on 55% of prospects
Raw data

Linda Weston (Lloyds, Head of Commercial Cards), in a 2025 interview on the Visa-enabled virtual cards launch with Taulia, said the bank is “passionate about helping businesses unlock value through virtual cards for supplier payments”.

AI personalisation →

“Read what you said about unlocking value through virtual cards for supplier payments. That buyer-side framing is usually where commercial-card books leak the most yield, because most diagnostics still look at issuer economics rather than supplier stickiness.”

05 / CAMPAIGN EXAMPLES

Real campaigns we have run.

These 13 examples are intentionally varied — both in sector (construction, hospitality, luxury, SaaS, influencer marketing, editorial, EMS, factoring…) and in outcomes. You will find campaigns matching each of our 4 projection scenarios — from the minimum guarantee to exceptional cases. The goal is not to show a curated best-of, but the genuine diversity of what we produce. The campaign cards below are kept in their original French to remain faithful to the real artefacts we delivered. The AI-personalised sentences are highlighted in terracotta.

Campagne 01 / 13

Matériel EMS × coachs & studios sportifs

Prospection auprès de tous indépendants et centres de soins intéressés par l'EMS : coachs sportifs, studios, kinés, centres d'esthétique.
14 500
prospects contactés
413
opportunités générées
6
mois de campagne
Source IA Bio Instagram du coach + persona client qu'il cible (femmes 45+, remise en forme, rééducation...) + promesse principale qu'il met en avant dans sa communication.
Campagne 02 / 13

Agence OVB × prospection Instagram automatisée

Notre propre agence. 100% de notre acquisition provient du cold email — 100 à 200 clients signés par mois. Ciblage très large : toutes entreprises avec un compte Instagram et des besoins de prospection.
800 000
prospects contactés / an
10 500+
opportunités générées / an
12
mois de campagne
Source IA Un post Instagram récent du prospect (thématique, création, actualité) + métier précis + localité, pour rendre la proposition immédiatement crédible.
Campagne 03 / 13 · EN

Hardware décoratif haut de gamme × architectes d'intérieur

Prospection en anglais auprès d'architectes d'intérieur UK et US.
11 500
prospects contactés
82
opportunités générées
3
mois de campagne
Source IA Un projet récent du prospect (nom du projet) + détails design identifiés dans le travail du cabinet (tonalités, textures, matériaux, ambiance).
Campagne 04 / 13

Caviste × restaurants & hôtels

Prospection auprès de tous secteurs de la restauration susceptibles de vendre du vin : restaurants, bistrots, bars à vin, hôtels (hors fast-food).
20 000
prospects contactés
458
opportunités générées
12
mois de campagne
Source IA Type et style d'établissement du prospect (bistrot, restaurant gastronomique, hôtel...), cuisine ou positionnement (bistronomique, italien, traditionnel...) et localité précise.
Campagne 05 / 13

Stands éco-conçus × salons professionnels

Prospection auprès de toute entreprise ayant exposé sur un salon professionnel (tous secteurs, toutes fonctions décisionnaires).
8 030
prospects contactés
29
opportunités générées
3
mois de campagne
Source IA Un salon récent auquel le prospect a exposé (nom du salon + lieu) + les produits phares mis en avant par l'entreprise.
Campagne 06 / 13

Pizzas sous-vide × bars à vin et snacking

Prospection auprès de tous restaurants et commerces susceptibles de vendre des pizzas (hors fast-food) : bistrots, bars à vin, épiceries fines, snacks, commerces de proximité.
19 500
prospects contactés
1 308
opportunités générées
6
mois de campagne
Source IA Type d'établissement du prospect (bar à vin, bistrot, épicerie fine...) + positionnement (produits proposés, ambiance, cible) + localité précise.
Campagne 07 / 13

Affacturage × TPE/PME du BTP

Prospection auprès de dirigeants de TPE/PME du BTP (VRD, génie civil, gros œuvre, maçonnerie, charpente).
11 500
prospects contactés
31
opportunités générées
6
mois de campagne
Source IA Un marché public ou chantier récemment remporté par le prospect (nom, localisation) + spécialité technique principale de l'entreprise (VRD, charpente, maçonnerie...).
Campagne 08 / 13

Maison d'édition × impression d'art

Prospection auprès d'architectes d'intérieur et de décorateurs.
12 500
prospects contactés
134
opportunités générées
6
mois de campagne
Source IA Un projet récent trouvé sur le portfolio du prospect + 1 à 2 détails déco concrets (matériaux, volumes, couleurs).
Campagne 09 / 13

Socratech.io × création de contenus vidéo

Notre deuxième agence. 100% de notre acquisition via cold email — +20 clients/mois, panier moyen 8 k€. Ciblage : dirigeants d'entreprises (2-3+ salariés) avec une interview ou une parution presse dans les 6 derniers mois.
100 000
prospects contactés / an
1 200+
opportunités générées / an
12
mois de campagne
Source IA Une intervention récente du prospect (podcast, conférence, interview) + expertise métier pointue + offre spécifique à son univers.
Campagne 10 / 13

Vidéo IA générative × marques & marketing

Prospection auprès des directions marketing et brand managers d'entreprises de plus de 10 salariés.
22 500
prospects contactés
98
opportunités générées
6
mois de campagne
Source IA Secteur et produits phares de la marque + 2 à 3 idées créatives de vidéos impossibles à tourner en production classique, conçues spécifiquement pour leur univers.
Campagne 11 / 13

SaaS de pilotage × bureaux d'études

Prospection auprès des dirigeants de bureaux d'études, toutes disciplines confondues.
5 000
prospects contactés
32
opportunités générées
3
mois de campagne
Source IA Un projet récent du bureau d'études (trouvé sur leur site ou dans la presse spécialisée) + inférence d'un point de douleur précis sur la gestion des temps et la facturation à l'avancement.
Campagne 12 / 13 · EN

Marketing d'influence × marques de spiritueux

Prospection en anglais auprès de marques alimentaires, de spiritueux et de produits B2C ayant une présence active sur les réseaux sociaux. L'IA vérifiait les collaborations influenceurs passées.
7 700
prospects contactés
48
opportunités générées
3
mois de campagne
Source IA Catégorie produit précise (Japanese gin, single malt...), nom du produit phare, handle Instagram de la marque, persona d'audience cible (gin enthusiasts, whisky collectors...).
Campagne 13 / 13

Rédaction éditoriale × marques de vin

Prospection auprès d'entreprises ayant une présence éditoriale (magazine, newsletter, blog, prises de parole publiques).
6 500
prospects contactés
68
opportunités générées
6
mois de campagne
Source IA Analyse des contenus publiés par le prospect (LinkedIn, site, articles, interviews) pour identifier ses thèmes récurrents, ses engagements et son angle éditorial distinctif.
06 / CASE STUDIES

What we have already done.

Cosmetics distributor
Premium salon products · 12 employees · 3-month campaign
32 opportunities in 10 days
7 new resellers signed across the 3-month campaign · reported 6x ROI
Read the full case study →
Agence OVB
B2B services · 8 employees · 12-month engagement
From £500K to £2M revenue
Revenue quadrupled in 12 months thanks to cold email prospecting
Read the full case study →
Thomas Bennett Group
E-commerce · 15+ employees · 1-month campaign
33 opportunities in 20 days
Targeted prospecting on a panel of 3,000 e-commerce decision-makers
Read the full case study →
07 / ROADMAP

How the engagement unfolds.

Here are the 6 phases of our engagement. The first ones run in parallel so that your campaigns start as quickly as possible.

Phase 1
Technical setup
Weeks 1-4
Phase 2
Workshop (1h)
Week 2
Phase 3
Sequence copywriting
Weeks 2-3
Phase 4
Database build
Weeks 3-4
Phase 5
Launch
Week 5
Phase 6
Reporting
Ongoing
Good to know: phases 2, 3 and 4 run in parallel with the technical setup (phase 1). Concretely, during the 1-month technical warm-up we build your database and write your sequence — so the first emails go out from week 5.

Phase 1 — Technical setup

Creation of dedicated sending domains, SPF/DKIM/DMARC configuration, opening and setting up the email addresses, launch of the warm-up (1 month). No action required on your side.

Phase 2 — Workshop (1h)

A structured working session to define together the structure of the database, the tone of voice for the emails, and to gather your case studies and key differentiators. This phase runs in parallel with phase 1 (Technical setup).

Phase 3 — Sequence copywriting

First draft, feedback rounds and optimisations with you, then layering in the AI personalisation (the signals shown above). We validate the overall email content with you before moving on to the database.

Phase 4 — Database build

We assemble a sample of prospects (like the 10 above) for you to validate. Once approved, we build the full database with quality control: field verification, contact qualification.

Phase 5 — Campaign launch

Sending starts as soon as the warm-up is complete. First results within the first week. Real-time tracking: open rate, reply rate, opportunities generated.

Phase 6 — Reporting & optimisation

Real-time reporting through our platform. Continuous adjustments and A/B testing on subject lines, opening sentences and sequences. Regular monthly or quarterly check-ins depending on results.

08 / PROJECTIONS, PRICING & GUARANTEE

Projections, pricing and results guarantee.

Simulate your return on investment
Three parameters to adjust to estimate your results. Projections based on the real conversion rates achieved for our existing clients.
AYour parameters
Campaign duration
Over 12 months, we re-engage your prospects 4 times with different angles (spaced 3 months apart) — multiplying your results by 4 vs. a short campaign.
%
UK B2B average. Adjust to your own rate.
BYour projected results
YOUR PROJECTION
↑ Enter your margin per client above to see your projection.
Projections by scenario The 2 central scenarios = 80% of real cases
10% of our clients' campaigns
Minimum guarantee
net margin
Show details
Qualified opportunities
New clients
Gross margin generated
40% of our clients' campaigns
Common case
net margin
Show details
Qualified opportunities 38
New clients
Gross margin generated
40% of our clients' campaigns
Favourable case
net margin
Show details
Qualified opportunities 75
New clients
Gross margin generated
10% of our clients' campaigns
Exceptional case
net margin
Show details
Qualified opportunities 150
New clients
Gross margin generated
YOUR TWO PRICING OPTIONS

We don't sell emails sent. We sell commercial opportunities.

Two options are available, depending on the level of commitment you want. Both are calculated on your parameters above. The displayed prices are adjustable.

Duration
Click to adjust the prices without scrolling back to your simulation.
WITHOUT RESULTS GUARANTEE
£ / month, ex. VAT
That is 18,000 £ ex. VAT over 12 months
Your estimated net margin
Average across our clients · after deduction
Our commitment
No contractual commitment on the number of opportunities.

How the guarantee works in 3 clauses.

D0 · Launch
CLAUSE.01
Our commitment

We commit to generating at least opportunities per month, i.e. opportunities over months. This target matches the low scenario of our projections (10% of our clients' campaigns).

M+1 · Check
CLAUSE.02
If we fall short of the target

As soon as a month closes below opportunities, your billing is immediately frozen. Concretely: you stop paying from that month onwards, until we have fully caught up the cumulative shortfall. You never pay for a month where we don't deliver on our commitment.

M+3 · Limit
CLAUSE.03
If the shortfall persists over 3 consecutive months

Termination is possible at no cost. We keep working at our own expense during those 3 months of shortfall; beyond that, we acknowledge the failure and you are no longer billable for what follows.

Dynamic values

The figures shown in these clauses are not fixed: they are recalculated automatically based on the parameters set in your simulation above. The final contractual commitment will depend on the parameters validated together at the start of the engagement.

Contractual definition of an opportunity: a prospect responding positively to one of our prospecting emails — either an information request or a meeting request.

In addition to fees, 3 technical costs to plan for.

The first is a one-off investment that you own for life — your prospects remain yours, even if you stop working with us. The other two are monthly technical subscriptions, essential for any cold email campaign.

ONE-OFF · AT LAUNCH
Database
yours for life
Enter the market size above
100% qualified prospects · email validated by AI · full enrichment · £0.09 per lead
MONTHLY SUBSCRIPTION
Instantly
no commitment
97 $ / month
Sending platform + CRM
Cancellable any time · essential for automated sending
MONTHLY SUBSCRIPTION
Sending addresses
$5 per address
Enter the market size above
30 sends per business day per address · ~21 business days / month
A FINAL WORD

This document is not a sales pitch. It is a projection built on the real numbers from our campaigns — the scenarios presented are not promises, they are averages observed across our clients.

Our method has been operational for several years. It works as soon as the fundamentals are in place: a clearly identified market, a differentiating positioning, a measured closing rate. Profit Insight has all three.

Our conviction is that we can install for you a steady flow of qualified Earnings Optimisation conversations with UK CFOs and Heads of Cards across the banking, card-issuing and payments sector over the next 12 months — with indicators we steer together, month after month.

Whenever you want to talk about it concretely, we are here.

Cold is Gold · Lyon
Analysis
Your business Your market Prospects Personalisation
Evidence
Campaign examples Case studies
Engagement
Roadmap Projections & Pricing