Google and Meta have AI recommendations too. They all say 'increase your budget.' Ours don't.
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 AI is different: it's aligned to your true ROAS and your budget. When it says pause a campaign, it means that campaign is losing you money. When it says shift budget, it means to the channel that's actually returning more.
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's AI analyses performance across all connected platforms and flags the specific actions that will improve your true ROAS. You see which campaigns are underperforming, which creative combinations are fatiguing, and exactly where a budget shift would improve overall return — without having to pull the data yourself.
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
Alpomi flags the ad set on day 3. Suggests pausing or testing a new creative. You act immediately. Budget saved.
Before
Budget decision: 50/50 split between Google and Meta because that's what you've always done.
With Alpomi
Alpomi recommends shifting 30% from Meta to Google this week — Meta ROAS has dropped, Google is over-indexing on conversions. You move it.
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
Recommendations aligned to your ROAS, not platform spend
AI that works for your business, 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.