Spend Mix — Alfred for Marketing
Spend Mix · live
updated 4m ago
£28k
monthly mix
Google Search
38%
Meta
24%
20%
Amazon
18%
Pacing to ROAS goal
3.2× / 3.5×
Google Search
↑ +£2,400
Meta
↓ −£1,800
Amazon
↑ +£600
On track · next correction in 6h
Every goal. Every platform. Every day. Alfred tracks progress against all your goals each morning and surfaces the one corrective action that keeps you on trajectory.
Goal health tracking
ROAS, leads, and CAC tracked daily against target — not at period end when it’s too late to correct.
Spend allocation
See exactly how budget splits across Google, Meta, LinkedIn, and Amazon, with the rationale behind every percentage.
Campaign-level diagnosis
Alfred pinpoints which campaign is dragging a goal off track — down to the platform, the metric, and the amount.
Exactly what to do next
Every morning, the one corrective action — the budget shift, the bid change — with its projected impact on your goal.
Today’s goal status
Week 6 of 12 · 4 platforms connected
ROAS
Blended
3.2× against a 3.0× target across all four platforms
On track
Leads
MQLs
284 of 400 · 4.2 / day current vs 6.5 / day needed
At risk
CAC
Blended
£94 vs a ≤ £80 target · LinkedIn dragging the average up
Behind
Spend
Mix
£41,200 / mo across Google, Meta, LinkedIn, and Amazon
Balanced
Features
Five steps. One system. Alfred takes your goals and manages the spend across every platform to hit them.
01 — Goal configuration
Tell Alfred what you’re trying to achieve. It handles the rest.
Set your marketing goals — ROAS, CAC, revenue, leads, impressions, or clicks — and the period you’re working within. Alfred uses them as the basis for every spend decision it makes. Not a reporting metric — the actual objective that drives the plan.
ROAS
CAC
Revenue
Leads
Impressions
Clicks
Goals for this period
ROAS
Target: 3.0×
Leads
400 / mo
CAC
≤ £80
Revenue
Not set
Impressions
Not set
Clicks
Not set
3 goals configured. Alfred is now building the spend mix to hit all three simultaneously.
Spend mix · £41,200 / mo
Google Search
£15,800
38%
Meta Ads
£10,700
26%
LinkedIn Ads
£9,800
24%
Amazon Ads
£4,900
12%
Why this mix: Google Search carries 38% — the lowest historical CAC for this ICP. LinkedIn is capped at 24%; it drives awareness but not enough MQL volume for the leads goal.
02 — Spend mix creation
Alfred builds the allocation across every connected platform.
Once goals are set, Alfred analyses historical performance across every connected platform and builds the spend allocation most likely to hit all your goals at once. Not industry benchmarks — a plan grounded in how your campaigns have actually performed, calibrated to your goals.
Google Ads
Meta Ads
Amazon
Goal-weighted
Historical data
03 — Daily goal tracking
Every goal tracked daily. Not at the end of the month.
Alfred tracks progress against every goal every day — not at period end when it’s too late to correct. It models the trajectory: given current performance, are you on track to hit the goal by the deadline, and how many days do you have to course-correct?
Daily progress
Trajectory modelling
Days-remaining signal
All goals at once
Goal trajectory · Day 18 of 30
ROAS — 3.0× target
On track
3.2×
107% of target · 12 days remaining
Leads — 400 target
At risk
284
71% complete · need 116 more in 12 days
CAC — ≤ £80 target
Behind
£94
£14 above target · LinkedIn dragging CAC up
⚠ Leads goal at risk · Day 18
At current pace you’ll finish at ~340 leads — 60 short of target. LinkedIn CAC is £62 above goal and volume is declining. Two actions recover trajectory.
Action 1 — Budget shift
Shift £2,400 from LinkedIn to Google Search. Google is generating leads at £68 CAC — within target. Adds ~28 leads in 12 days.
Apply shift
Action 2 — Bid adjustment
Raise Google Search bid caps 15% on 3 high-intent keyword groups. Projected incremental leads: +18 in the remaining period.
Apply bids
04 — Daily nudges
A nudge every morning. Not a report every month.
When a goal drifts off trajectory, Alfred surfaces the nudge in your daily brief — the specific signal, the goal at risk, and the corrective action required. Not a dashboard alert. A directed message to the person who can act on it, with the action already specified.
Goal-specific
Named action
Right person
Before 8am
05 — Corrective measures
From nudge to campaign change. Without leaving Alfred.
When Alfred recommends a corrective action you can apply it directly from the brief — budget shifts, bid adjustments, pause and resume — executed across connected platforms in one action. Alfred then tracks whether the correction moved the goal back on trajectory and adjusts the next day’s nudge.
Budget shifts
Bid adjustments
Pause & resume
One-click
Outcome tracking
Corrective action · CAC goal recovery
✓
Goal drift detected — CAC £14 above target on Day 18
✓
Root cause — LinkedIn campaign CAC at £142, dragging the portfolio average
→
Actions generated — £2,400 shift LinkedIn → Google + bid cap +15% on 3 keyword groups
4
Apply — one click — and on your approval, executes across both platforms simultaneously
5
Alfred monitors the outcome — tomorrow’s nudge confirms whether trajectory recovered
Performance impact
Teams that configure goals in Alfred and follow the daily nudges hit more of their goals by period end — because corrections happen on day 18, not day 31.
Without Alfred’s daily nudges
Goals hit per quarter
1.4 of 3 avg
Average goal miss margin
23% below target
When corrections happen
End of period
With Alfred’s daily nudges
Goals hit per quarter
2.7 of 3 avg ↑
Average goal miss margin
4% below target ↓
When corrections happen
Mid-period, in time
How Alfred knows when to nudge. Alfred models your goal trajectory daily — comparing current pace against what’s required to hit each goal by the deadline. When a goal is drifting, the nudge fires that morning with the specific corrective action, not a generic alert.
Enterprise ready
Alfred Spend Mix operates across every platform, every market, and every team — managing goals at portfolio level and campaign level simultaneously.
Alfred Core — Enterprise
Every goal tracked. Across every market.
From a single campaign to a global media portfolio. Alfred manages goals and spend across every connected platform and every market — with cross-market goal aggregation and campaign-level corrective actions.
Multi-platform and multi-market
Set goals at the portfolio level and Alfred manages allocation across every connected platform and every market simultaneously.
Native ad platform integrations
Direct read-and-write connections to Google Ads, Meta Ads, LinkedIn Campaign Manager, and Amazon Ads Manager — corrective actions execute without manual work.
Team and agency workflows
Route nudges to the right person by platform or goal type. Agency teams get the briefings for their channels; CMOs get the portfolio view.
Platform specifications
Ad platforms connected
Google · Meta · LinkedIn · Amazon
Goal types supported
ROAS · CAC · Revenue · Leads
Goal tracking frequency
Daily — before 8am
Corrective action execution
One-click to platform
Multi-market support
Yes — cross-market view
Campaign history
Full performance archive
Data isolation
Logically isolated per customer
Customer data used for training
Never
Logically isolated
No cross-customer data
Multi-brand
API access
Alfred Core
Alfred builds a private performance library for your brand — every goal, every allocation, every outcome — so the spend mix it builds next quarter is grounded in what actually worked, not what the industry says should work.
The spend mix Alfred builds is based on your brand’s own historical performance — not a generic model optimised for an average advertiser.
Alfred learns which corrective actions worked before. If shifting budget from LinkedIn to Google recovered a leads goal in Q1, that pattern informs Q2’s recommendations.
When a new CMO or media planner joins, the full history of every goal, allocation, and outcome stays. Institutional knowledge doesn’t leave with the person.
Alfred’s memory — 3-quarter goal history
Q4 2024
First goal period
ROAS 2.5× and 300 leads targets set. LinkedIn over-weighted at 35%.
Leads: 241 of 300. LinkedIn CAC too high for the leads goal.
Q1 2025
Alfred adjusts allocation
LinkedIn reduced to 24%. Google Search increased. CAC goal added.
Leads 318 / 300 ✓ · ROAS 2.8× ✓ · CAC £76 ✓
Q2 2025
Pattern confirmed
Alfred flags LinkedIn as structurally high-CAC for this ICP. Budget ceiling applied on your approval.
All 3 goals hit by Day 26 of 30.
Q3 2025
Amazon opportunity detected
Intent signal on Amazon rising. Alfred spun up a £4,900 allocation.
Portfolio CAC improved to £68 — lowest on record.
Outcomes
Every goal tracked. Every campaign assessed. Every corrective action surfaced before the window closes.
Average goals hit per quarter when Alfred’s daily nudges are followed. Up from 1.4 without.
Average day Alfred detects a goal drift and fires a corrective nudge. Not day 31 when it’s too late.
