Industry · SaaS
Alfred for Marketing
Alfred for Sales
Powered by Alfred Core
ARR this month
↑ +£84k vs last month
Blended CAC
↑ +£380 — top of funnel
Net Revenue Retention
→ Stable
Churn risk accounts
Early signals · this week
Avg sales cycle
↓ −6d vs last quarter
The problem
With the global SaaS market on its way to $1.48 trillion, SaaS is moving faster than any dashboard can keep up with. Trial conversions drop on a Tuesday. A £300k deal goes quiet. CAC creeps up 18% across two quarters without anyone catching it until the board deck.
Your CRM, your product analytics, your ad platforms — they all have the data. None of them talk to each other. And by the time someone reconciles the picture, the window to act has closed.
Alfred is the intelligence layer that connects every function of your SaaS business and tells your leadership what to act on before the cost has already compounded.
Book a demo
CAC drift traced — top-of-funnel ICP quality declining
CAC up £380 over 6 weeks. LinkedIn generating high volume, low ICP fit. 34% of last month’s SQLs already stalled.
Alfred Core
Now
3 accounts showing early churn signals
Nexus Corp: login frequency down 60% over 3 weeks. No champion contact. Feature adoption stalled at onboarding.
Churn risk
2h ago
Expansion signal — Meridian SaaS ready for upsell
DAU up 40% in 30 days. 3 power users on free tier hitting limits daily. Expansion opportunity: £28k ARR.
Expansion
3h ago
AI Visibility — brand absent from key buying prompts
Your brand cited in 29% of “best revenue intelligence software” AI prompts. Competitor A: 74%.
AI Search
5h ago
ARR forecast updated — 96% confidence, £2.84M
2 deals moved from commit to upside. 1 churn risk account de-risked after CS intervention.
Revenue
6h ago
Alfred Core
Alfred Core is the unified intelligence layer that connects every function of your SaaS business — marketing, revenue, product signals, sales, operations, and board — into one continuously updated view of reality. It doesn’t just store your data. It reasons across it.
Capability
What it means for SaaS
Cross-Function
Cross-Function Intelligence
Trial behaviour, pipeline stage, and campaign spend interpreted together — not in isolation. A CAC shift and a pipeline drop stop being separate problems when Alfred connects them.
Root Cause
Root Cause Intelligence
When MQL volume drops, Alfred traces it to the source. Channel, creative, ICP shift, or funnel leak — you get the cause, not the metric. Not the symptom. The decision.
Institutional Memory
Institutional Memory
Alfred learns your winning deal patterns, your highest-converting segments, and your seasonal rhythms. Every inference sharpens with time — the system knows your business better with every cycle.
Compounding
Compounding Intelligence
Every new signal sharpens every future recommendation. The system gets smarter with your business — intelligence that compounds as your customer base, your team, and your market evolve.
Start with the function under most pressure. The intelligence compounds across every module you activate.
Alfred for Marketing
SaaS marketing runs on thin margins for error. CAC creeps quietly. Trial conversion dips on a Tuesday. A top keyword loses position overnight. By the time it shows up in a weekly review, the cost has already compounded. Alfred gives your marketing leadership a continuous read on every signal and tells you what to do about it before the window closes.
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
Every channel, campaign, and platform consolidated into a single cross-functional view. Awareness, engagement, conversion, and efficiency aligned with spend and revenue influence. The manual reporting cycle, gone.
See Unified
Anomaly Alerts
Alfred monitors every marketing signal continuously, 24/7. When something deviates — a CPA spike, a conversion drop, an unexpected traffic shift — Alfred surfaces it within hours, not days. Root cause included. What changed, why, what to do.
See Anomaly
Spend Mix
Alfred continuously analyses how your budget is distributed across channels and campaigns. When marginal returns shift, Alfred surfaces the imbalance and recommends reallocation with projected impact — before the waste compounds across the quarter.
See Spend
Creative Intelligence
The Creative Fatigue Agent monitors every asset across its lifecycle. It detects early signs of declining engagement, quantifies the impact on spend and outcomes, and tells you exactly which assets to refresh, rotate, or pause — and when.
See Creative
AI Visibility Score
Your SaaS buyers are discovering tools 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 month?
Alfred
LinkedIn is generating 34% more leads but ICP fit has dropped from 68% to 44%. Those lower-fit leads are progressing to SQL stage but stalling — inflating pipeline without converting, driving up cost-per-closed-deal. The campaign targeting has drifted from your defined ICP.
Alfred for Sales
In SaaS, the difference between a closed-won and a churned opportunity is often a signal that was visible but missed. Alfred for Sales runs your entire revenue operation — from the first intent signal to the signed contract and beyond.
01 — Intent Intelligence
Alfred monitors website behaviour, LinkedIn activity, and webinar engagement to surface warm accounts before your competitors even know they’re looking. Visiting your pricing page three times in 48 hours. A post about a broken RevOps stack. Alfred detects the signal, ranks it, and hands your rep a fully pre-written outreach email, LinkedIn DM, or call script — ready to send.
ICP-fit accounts — surfaced today
Nexus Corp
ICP fit: 94 · Intent: 88
Pricing page × 5 · G2 comparison · trial started
Orbit Analytics
ICP fit: 87 · Intent: 71
Webinar attended · competitor comparison post
Outreach ready: Pre-written email for Nexus Corp — personalised to their stack, team size, and use case.
Churn risk — Nexus Corp
Login frequency
↓ 60% over 3 weeks
Champion status
Sarah Chen left company
Feature adoption
Stalled at onboarding
Renewal in
47 days · £84k ARR
Action: Re-engage with new champion. Alfred has identified the replacement contact and drafted the re-engagement email.
02 — Deal Deviation + Churn Protection
Deal Deviation watches every live opportunity against your historical winning patterns. Churn Intelligence monitors every existing account for early indicators — falling DAU, support ticket patterns, champion departure — and flags both with corrective actions before the damage is done.
03 — Forecast + Expansion Intelligence
Forecast Intelligence replaces stage-weighted CRM probability with deal-level predictions grounded in your own win history. Your number updates in real time, not when a rep remembers to move a stage. Alfred also monitors usage signals to identify expansion accounts before your CS team has made the call.
ARR forecast · Q3 · updated now
New ARR commit
£840,000
Expansion ARR
£214,000
Churn risk
£168,000 · 3 accounts
Net ARR forecast
£886,000 · 96% confidence
What changes
At-risk accounts successfully retained when Alfred’s churn signals trigger intervention weeks before the health score would have surfaced it.
NRR improvement when expansion signals are acted on before the customer asks — turning product usage into revenue before the window closes.
ARR forecast accuracy. The number the CRO presents to the board is the number that lands.
Every cohort, every churn pattern, every expansion signal — Alfred’s model of what healthy looks like sharpens with every customer.
