TL;DR:
Andromeda is Meta’s next-gen ads retrieval engine that decides which ads are even eligible to enter the auction. It rewards creative variety, clean conversion signals, and consolidated, broad setups. If you are still splitting audiences into tiny ad sets and shipping small creative tweaks, you are leaving performance on the table.
The one-minute version
- What: Retrieval system that selects a few thousand ad candidates from millions before ranking and auction.
- Why it matters: Creative quality and diversity now influence whether your ad gets a shot at the impression. Micro-targeting has less impact than it used to.
- How to adapt: Consolidate structure, keep targeting broad with smart exclusions, load genuine creative variety, and strengthen Conversion API with proper deduplication.
- Outcome: More stable learning, less budget cannibalisation, and better matching between message and person.
What exactly is Andromeda?
When someone opens Instagram or Facebook, Meta has a huge pool of ads that could be shown. Before any auction happens, Andromeda rapidly narrows this pool to the most relevant candidates using large-scale AI and accelerated infrastructure. In short, it is a smarter gatekeeper that influences which ads even make it to the starting line.
Retrieval vs ranking in plain English
- Retrieval: The shortlist. Andromeda picks the contenders.
- Ranking and auction: The order of finish. Bids, predicted outcomes, and quality signals decide the winner from that shortlist.
If you never reach the shortlist, your bid and budget do not matter.
What changed for advertisers
- Creative is a primary signal. The system rewards distinct concepts that can be matched to different people. Superficial variations help less than clearly different angles, formats, and messages.
- Broader beats brittle. The marginal value of granular interest stacks and many split ad sets is lower. Consolidation helps the system learn faster and avoid internal competition.
- Signal quality still rules. Clean, deduped conversion events from pixel plus Conversion API allow the system to recognise real outcomes and keep your ads in the candidate pool.
- Infrastructure upgrade. Faster models and hardware mean Meta can scan more candidates per impression, which increases the importance of feeding the system with variety and good data.
Playbook: how to set up for Andromeda
1) Structure and targeting
- Prefer fewer campaigns and ad sets with broad targeting.
- Use exclusions to protect existing customers or low-value segments instead of narrow inclusions.
- Avoid constant edits that reset learning. Aim for steadier budgets and pacing.
2) Creative strategy
Think of creative as the new targeting.
- Concept diversity: Build 4 to 8 genuinely different ideas per ad set. Change the promise, the proof, and the format.
- Format mix: Video, reels, carousels, static, UGC, motion graphics.
- Angle library: Problem first, product-led, social proof, offer, educational, authority, objection-handling.
- Refresh rhythm: Plan a two to four week sprint cadence. Retire fatigued angles and rotate in new ones.
3) Measurement and signals
- Conversion API with pixel deduplication is non-negotiable.
- Map events to actual business outcomes, not vanity metrics.
- Use lift tests or geo holdouts where possible to validate incremental impact.
- Keep naming conventions clean so you can attribute learnings to the right concept and audience context.
4) Budgeting and learning hygiene
- Let the system collect enough data per concept.
- Avoid heavy budget swings that cause instability.
- Treat each change like a test and give it time to mature.
Creative checklist for teams
- Do we have at least 5 distinct concepts live, not just colour or copy tweaks?
- Are we mixing UGC and brand-led treatments?
- Do we show clear value in the first 2 seconds of video?
- Is the offer and CTA unmissable on both sound-on and sound-off?
- Are we covering multiple buying stages: awareness, consideration, and action?
Measurement checklist
- Pixel and CAPI events deduped and verified.
- Primary optimisation event tied to revenue or qualified leads.
- UTM framework consistent across all placements.
- Weekly review of concept-level performance, not just ad-set rollups.
- Scheduled anomaly checks on spend, CPA, CVR, and CPM.
Common mistakes to avoid
- Too many ad sets, too few creatives. You stretch budget thin and starve the system of learning.
- Chasing micro-interests. Broader eligibility plus better creative matching beats brittle stacks.
- Optimising to soft proxies. Link clicks and view content events distort learning. Aim for signals that track value.
- Constant tinkering. Frequent edits reset progress and hide which changes helped.
FAQs
When did Andromeda roll out?
Meta announced Andromeda publicly in December 2024, with visible advertiser impact through 2025.
Should I still use Advantage+ Shopping or broad prospecting?
Yes. These setups align well with retrieval-driven matching, provided you feed them meaningful creative variety and strong conversion signals.
Is creative everything now?
Creative is not everything, but it has increased leverage. Creative plus signals plus stable structure is the winning triangle.
What about lead gen vs purchase?
Optimise to the highest-quality event you can reliably measure. For lead gen, focus on quality gates such as qualified lead or opportunity, not raw form fills.