Free
£0/mo
Test the Playbook to Action Board loop before you pick a paid tier.
- Playbook and Action Board included
- 1 user
- Pro+ cross-domain Playbook on Pro
Every platform's recommendation engine is designed with one goal: increase your spend on that platform. 'Expand your audience.' 'Try automated bidding.' 'Add more placements.' Alpomi's Playbook is different: it prioritises from reconciled performance and your goals. When it proposes pausing a campaign, your team reviews it. When it proposes shifting budget, you approve before anything changes in the ad platforms.
Solved by AI Recommendations — Daily Playbook priorities—proposed tasks your team approves.
AI Recommendations analyses performance patterns across connected ad accounts and turns them into prioritised Playbook insights and proposed tasks on the Action Board—campaigns to review, budgets to reallocate, audiences showing fatigue, and creative combinations worth refreshing. Alpomi prioritises recommendations and proposed tasks from live data—your team reviews, approves, and executes. AI playbook and cross-domain recommendations: Pro+ (see pricing).
Works with
The real operational pain that drives people to Alpomi
Platform AI recommendations are optimised to increase platform spend — not your profit
Without a data analyst, optimisation decisions are made weekly at best, or not at all
Campaign performance changes are often missed for days before someone notices
Budget reallocation between channels requires manually checking all platforms and doing the maths
What changes when you close the loop on this feature
Faster optimisation cycles
Issues flagged in days, not weeks — so budget isn't wasted on underperforming campaigns
Priorities aligned to reconciled ROAS, not platform spend
Playbook items grounded in your performance—not the platform's revenue target
No data analyst required
Specific, actionable suggestions — not raw data to interpret yourself
Peak-period decisions in minutes
AI surfaces the most impactful opportunities during BFCM when every hour of spend matters
Creative fatigue caught early
Before CTR drops and ROAS craters — not after 3 weeks of wasted spend
Budget moves go to the right channel
Proposed tasks based on reconciled ROAS, not platform estimates
Portfolio-level optimisation at individual-account speed
AI reviews all accounts simultaneously — you see the most important actions first
Consistent optimisation policy across all brands
No more individual brand managers applying different logic to the same challenges
Underperformance caught in days, not weeks
Anomaly detection across all accounts means nothing runs undetected at scale
From pain to clarity with AI Recommendations
Review campaigns manually each week. Notice one ad set is underperforming but not sure if it's temporary. Leave it running for another week. It's now wasted 2 weeks of budget.
Playbook flags the ad set on day 3 with a proposed task to pause or refresh creative. You approve on the Action Board, then change the campaign in-platform. Budget saved.
Budget decision: 50/50 split between Google and Meta because that's what you've always done.
Playbook proposes shifting budget from Meta to Google — Meta ROAS has dropped, Google looks stronger on reconciled data. You approve the task, then change budgets in-platform.
See how AI Recommendations solves problems specific to your business type
Know what to check next—without hiring an analyst.
You don't have a dedicated analyst. AI Recommendations surfaces prioritised Playbook items and proposed tasks so you can review, approve, and act across channels in minutes—not hours of spreadsheet work.
During BFCM and peak periods, the brands that win review performance faster. AI Recommendations highlights what changed in your Playbook and which proposed tasks deserve attention first—your team still approves every change.
Portfolio-level priorities across every account
Reviewing performance for 20 accounts manually isn't scalable. Alpomi's Playbook works across your portfolio—surfacing the most impactful proposed tasks first, with enough context that any team member can review and act.
Alpomi ingests performance data from connected platforms—spend, ROAS, impressions, CTR, and conversion rates—across your accounts.
We look for anomalies, fatigue signals, underperformance vs your benchmarks, and cross-channel reallocation opportunities—then rank what to review first.
Proposed tasks are specific: 'Review campaign X—CPA 42% above target.' 'Consider shifting £400 from Meta to Google—reconciled ROAS 3.2 vs 1.7.' You approve before changes go live in ad platforms.
These features work alongside AI Recommendations. See how they fit together.
Book a demo and we'll show you how AI Recommendations connects to your stack and solves your reporting and attribution challenges.
Connect your stack on the free tier. Run your first audit. Get a Playbook with ranked priorities. Your team approves tasks before anything runs.
Starter & Pro billing
Free
£0/mo
Test the Playbook to Action Board loop before you pick a paid tier.
Pro
$470/mo
$350/mo
Early-adopter flat rate
Teams that need cross-domain Playbook, roles, and room to scale.
Quick setup first, then checkout—stay on Free anytime.
Starter
$250/mo
$120/mo
Early-adopter flat rate
Brands running Google Ads, Meta, and Shopify who have outgrown spreadsheets.
Quick setup first, then checkout—stay on Free anytime.
Week-by-week parallel-run checklist to switch from Triple Whale. Five source-of-truth metrics, go/no-go rules, honest stay scenarios, and cutover steps.
Compare Triple Whale, Polar Analytics, and Northbeam by UK GMV band. Matrix, scenarios, job-to-be-done table, and 2-week eval script.
GMV pricing explained for UK Shopify brands. See illustrative £ bands, hidden costs, flat vs GMV break-even math, and a renewal checklist.