Platform AI keeps telling you to spend more. You need priorities you can trust.
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.
Why For SMEs look for this solution
The real operational pain we solve
Problem
Platform AI recommendations are optimised to increase platform spend — not your profit
Problem
Without a data analyst, optimisation decisions are made weekly at best, or not at all
Problem
Campaign performance changes are often missed for days before someone notices
Problem
Budget reallocation between channels requires manually checking all platforms and doing the maths
How AI Recommendations helps
Alpomi analyses performance across connected platforms and turns patterns into Playbook priorities and proposed tasks. You see which campaigns need review, which creatives are fatiguing, and where a budget shift could help—without pulling exports yourself. Nothing applies until your team accepts it on the Action Board.
Before Alpomi vs After Alpomi
From pain to clarity with AI Recommendations
Before
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.
With Alpomi
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.
Before
Budget decision: 50/50 split between Google and Meta because that's what you've always done.
With Alpomi
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.
What you get when you use AI Recommendations
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
Want the full technical breakdown?
See how AI Recommendations worksRelated features for you
These features work alongside AI Recommendations for for smes.
Ready to fix this for your business?
Book a demo and we'll show you how AI Recommendations solves these exact problems for for smes.