Industry · Fintech
Alfred for Marketing
Alfred for Sales
Powered by Alfred Core
App installs today
↑ +18% vs yesterday
Blended CAC
↑ +£8 — onboarding drop
Trial activation rate
↓ −4pp this week
ARR pipeline
↑ +£180k this week
Enterprise risk flags
Deal deviation alerts
The problem
Fintech moves at a pace that most intelligence infrastructure wasn’t designed to keep up with. A cohort that looked healthy last Tuesday is churning by Thursday. A campaign that was delivering qualified activations last month is now filling the top of the funnel with the wrong users. A deal that had a champion has gone quiet, and no one flagged it.
The signals were there. They just never reached the right person at the right time. By the time it’s visible in a report, the decision that could have changed it is three weeks behind you.
Alfred was built for exactly this operating environment.
Book a demo
Cohort churn traced — activation funnel drop detected
March cohort retention down 18pp from February. Root cause: onboarding step 3 completion rate fell after the UI deploy on 28 Feb. Brief generated.
Alfred Core
Now
CAC spike — wrong-fit users filling top of funnel
CAC up £8 over 4 weeks. Campaign targeting drifted from ICP. 34% of this month’s activations haven’t completed KYC. Channel brief ready.
Risk
2h ago
AI keyword position lost — neobank competitor overnight
Competitor B now ranking above you for “best business current account UK” on Perplexity and ChatGPT. AI Visibility brief generated.
AI Search
3h ago
Deal deviation — Series B prospect gone quiet post demo
Procurement introduced security sign-off requirement not flagged. Champion silent 8 days. £340k ARR at risk. Corrective action ready.
Sales
5h ago
Spend Mix — £2,400 reallocation recommended
Meta app install campaign marginal ROAS below 1×. Google App Campaigns headroom available. Projected activation improvement: +22%.
Marketing
6h ago
Alfred Core
Alfred Core sits beneath every module — a continuously reasoning intelligence layer that unifies signals from acquisition, activation, monetisation, retention, and risk — maintaining a living understanding of how they connect.
Capability
What it means for Fintech
Cross-Function
Cross-Function Intelligence
Acquisition, product, revenue ops, and finance signals interpreted together — not in isolation. A CAC shift and a pipeline drop stop being separate problems. An onboarding drop and an activation decline stop being two investigations.
Root Cause
Root Cause Intelligence
When something moves, Alfred traces it to the source. Not the metric. The cause. Not the symptom. The decision. When a cohort starts churning, Alfred identifies whether it’s a product issue, a targeting issue, or an onboarding issue — before the quarter is over.
Institutional Memory
Institutional Memory
Alfred learns what healthy looks like in your business. Activation benchmarks. Deal velocity patterns. Win signatures by ICP segment. Seasonal cohort behaviour. Every inference sharpens with time.
Compounding
Compounding Intelligence
Every module you activate makes every other module smarter. Every new data source improves the entire system. Intelligence compounds as your business grows — more accurate with every cohort, every campaign, every deal.
Start with the function where you need it most. Expand as your organisation scales. The core carries forward.
Alfred for Marketing
Fintech marketing runs on thin margins for error. CAC creeps quietly across quarters. A high-intent cohort converts on one channel and disappears on another. A top keyword loses position to a neobank competitor overnight. By the time it shows up in a weekly review, the cost has already compounded.
Daily Bulletin
Alfred’s brief lands before your first meeting. What moved overnight, what caused it, what needs a decision today — summarised in a structured narrative ranked by business impact. Not a dashboard to interpret. A briefing to act on.
See Daily
Unified KPI Cockpit
Performance across every channel, campaign, and platform consolidated into a single view. Awareness, engagement, activation, and conversion aligned with spend and revenue influence. The manual reporting cycle, gone.
See Unified
Anomaly Alerts
Alfred monitors every marketing signal continuously, 24/7. A CPA spike. A drop in app installs. An unexpected traffic shift. Alfred surfaces it within hours — root cause included. What changed, why it changed, what to do about it.
See Anomaly
Spend Mix
Alfred continuously analyses how your budget is distributed across acquisition channels and campaigns. When marginal returns shift, Alfred surfaces the imbalance and recommends reallocation with projected impact on outcomes — before the waste compounds.
See Spend
Creative Intelligence
Alfred monitors every creative asset across its lifecycle. Detects early signs of declining engagement. Quantifies the impact of fatigued creatives on spend and activations. Tells you exactly which assets to refresh, rotate, or pause — and generates replacements directly inside the platform.
See Creative
AI Visibility Score
Fintech buyers are discovering products through AI search platforms before they ever run a Google search. Alfred tracks how your brand surfaces across AI-driven discovery, identifies gaps relative to competitors, and guides content improvements.
See AI
Seek Alfred
A conversational intelligence layer connected directly to your live data and business context. Ask anything about marketing and pipeline — answered instantly, in plain language, without an analyst in the loop.
Ask Alfred anything
You asked Alfred
What’s driving our CAC increase this quarter?
Alfred
The primary driver is Meta App Install campaign drift — ICP fit dropped from 71% to 44% after the audience expansion in week 6. Those lower-fit users are completing install but dropping at KYC step 2, inflating CAC without contributing to activated revenue. The creative refresh from week 4 is not the issue — it’s audience targeting.
Alfred for Sales
In fintech, the difference between a closed-won enterprise deal and a churned opportunity is often a signal that was visible but missed. A procurement cycle that stalled. A champion who went quiet after a competitor demo. A risk review that no one flagged until the deal slipped.
01 — Intent Intelligence
Alfred monitors website behaviour, LinkedIn activity, and engagement signals to surface warm enterprise accounts before your competitors know they’re looking. Visiting your pricing page three times in 48 hours. A post about a broken data infrastructure. Alfred detects the signal, ranks it, and hands your rep a pre-written outreach email, LinkedIn DM, or call script — ready to send.
Warm enterprise accounts — today
Series B FinCo Ltd
Intent score: 91
Pricing page × 4 · API docs × 3 · LinkedIn CTO
Meridian Payments
Intent score: 76
Compliance page × 5 · competitor comparison
Outreach ready: Pre-written email for Series B FinCo — personalised to their compliance requirements and integration stage.
Deal deviation — Series B prospect
Risk signal
Champion silent 8 days post demo
Missing pattern
Security sign-off not initiated
Procurement risk
Compliance review now required
Historical match
8 of 11 similar deals needed exec escalation
Action: Re-engage with security + compliance angle. Alfred has drafted the exec-to-exec briefing note.
02 — Deal Intelligence + Deviation
Before any call, Alfred generates a complete briefing — stakeholder intel, a time-blocked agenda, discovery questions tailored to deal stage, risk flags including procurement and security sign-off gaps, and the right content to share. Deal Deviation then watches every live opportunity continuously and flags drift early with corrective actions.
03 — Forecast + Coaching Intelligence
Forecast Intelligence replaces stage-weighted CRM probability with deal-level predictions grounded in your own win history. Your number updates in real time. Sales Play reverse-engineers every closed-won deal. Coaching Intelligence benchmarks every rep against your top performers with a 30-day plan generated automatically.
Q3 ARR forecast · updated now
Commit
£1,840,000
Upside
£2,210,000
Confidence
94% · AI-grounded
vs. CRM stage-weighted
£2,640,000 · overstated
What changes
From cohort anomaly to corrective action — before a bad signal compounds into a bad month across the entire acquisition funnel.
CAC reduction when channel drift is caught within the week — before lower-fit users fill the funnel and inflate cost-per-activated-revenue.
Deal-level forecast accuracy. Enterprise pipeline is never flying blind on which deals are real and which are wishful thinking.
Every cohort, every campaign, every deal — Alfred’s model of what healthy looks like in your stack compounds with every data point.
