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.
Solved by AI Recommendations — Campaign intelligence without a data team.
What AI Recommendations does
AI Recommendations analyses performance patterns across all your connected ad accounts and surfaces specific, actionable suggestions — campaigns to pause, budgets to reallocate, audiences showing fatigue, and creative combinations underperforming their potential. Unlike generic platform suggestions that are designed to increase your spend, Alpomi's recommendations are aligned to your true ROAS and business goals.
- Campaign-level performance anomaly detection
- Budget reallocation suggestions based on true ROAS
- Creative and audience fatigue alerts
- Under-performing campaign flags with pause recommendations
- Cross-channel budget shift opportunities
- Weekly AI summary — what changed, what to do
Works with
Why teams look for a AI Recommendations solution
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 you get when you use AI Recommendations
Real outcomes from teams using this feature in production
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
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
Recommendations based on true 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
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.
Built for your segment
See how AI Recommendations solves problems specific to your business type
For growing businesses
Optimise like you have a data team. Without hiring one.
You don't have a dedicated analyst. AI Recommendations flags the changes that matter and tells you exactly what to do — so you can optimise across all your channels in minutes, not hours.
- Get told what to pause, what to scale, what to shift
- No data science degree or analyst required
- Recommendations aligned to your goals, not platform spend targets
During BFCM and peak periods, the brands that win are the ones making faster, better decisions. AI Recommendations surfaces your top opportunities in real time — so you act before competitors do.
- Peak-period budget shift recommendations
- Product campaign performance analysis at SKU level
- Creative fatigue alerts before performance drops
For enterprise teams
Portfolio-level AI optimisation across every account
Reviewing AI recommendations for 20 accounts manually isn't scalable. Alpomi's AI works across your entire portfolio — surfacing the most impactful opportunities first, with enough context that any team member can act.
- Portfolio-level recommendations — not per-account guesswork
- Consistent optimisation policy across all brands and regions
- Cross-brand budget opportunities surfaced automatically
Get started in three steps
Connect your campaigns
Alpomi ingests performance data from every connected platform — spend, ROAS, impressions, CTR, and conversion rates — across all accounts.
AI analyses patterns across all channels
We look for anomalies, fatigue signals, underperformance relative to your benchmarks, and cross-channel reallocation opportunities.
You see specific actions, not raw data
Recommendations are specific: 'Pause campaign X — CPA is 42% above target.' 'Shift £400 from Meta to Google — Google true ROAS is 3.2 vs Meta 1.7.'
Frequently asked questions
- How is this different from Google's and Meta's built-in AI suggestions?
- Platform AI is designed to increase your spend on that platform. Alpomi's AI is aligned to your true ROAS and your budget — it will recommend pausing spend on a platform if that's the right call, which Google and Meta's AI will never do.
- How often does the AI generate new recommendations?
- Continuously, with a weekly summary. You can also check the live recommendation feed at any time.
- Does the AI make changes automatically?
- No — Alpomi surfaces recommendations and you take action in the native platform. This is intentional: the AI advises, you decide.
Explore related features
These features work alongside AI Recommendations. See how they fit together.
Ready to see AI Recommendations in action?
Book a demo and we'll show you how AI Recommendations connects to your stack and solves your reporting and attribution challenges.
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