We're expanding our execution pipeline to support more channels and deeper account-level intelligence. Stay tuned for the next release.
Meta Ads Assistant
From recommendation to live change in Meta, without the manual work
Pangolin's models generate the budget or bid move. Once you approve it, Pangolin executes the change directly in Meta Ads Manager - no manual reallocation, no waiting for someone to log in.
The problem with manual Meta Ads management
Most teams already know, roughly, where their Meta budget should move. The gap isn't insight - it's execution.
Recommendations sit in a deck or a Slack message while the account keeps running on last week's settings, because someone has to log into Meta Ads Manager, find the right campaign or ad set, and make the change by hand - often across dozens of ad sets and several accounts.
By the time it happens, the moment the recommendation was based on has often passed.
The Advertiser's Burden
Pangolin's Meta Ads execution pipeline
Pangolin's recommendation engine is connected directly to an execution layer that can push budget and bid changes into Meta Ads Manager via the platform's API.
Approve and action insights with a click
Why this is different
No one has to log into Meta Ads Manager to make the change once it's approved. Pangolin handles all tedious multi-adset configurations instantly.
Changes are driven by Pangolin's model of the whole account and mix, not a single-platform threshold. We look at true marginal incrementality.
Every change still passes through a human approval step before it goes live. You always hold the keys to budget deployment.
What it means commercially
Frequently Asked Questions
Does Pangolin make changes automatically, or does someone need to approve first?
Every change is proposed first and only goes live once a human approves it. We preserve complete advertiser control.
How is this different from Meta's own Advantage+ automated rules?
Meta's automated rules react to thresholds within a single campaign. Pangolin's recommendations come from a model of the whole account and the wider mix, and still require approval before anything changes.
Can we set our own approval thresholds and spend limits?
Yes. Your team defines the guardrails, for example auto-flagging any change above a set percentage or £ amount for extra sign-off, or requiring senior approval on specific high-spend campaigns. Pangolin proposes within those limits, it never overrides them.
What happens if a recommendation turns out to be wrong?
Every change is logged with the model's reasoning, so it's fully traceable and reversible. Because updates run weekly rather than being locked in for a quarter, any misstep can be undone or gets corrected at the next cycle, rather than compounding for months.
How many accounts or ad sets can this manage at once?
Pangolin monitors every campaign and ad set across your connected accounts simultaneously, the same dozens of ad sets your team currently checks by hand, without the manual login-and-click routine.
Does this replace our media buyer or agency, or work alongside them?
Alongside. Pangolin removes the manual reallocation work, it doesn't replace the strategic decisions your team or agency makes about creative, targeting, or overall channel strategy.
Ready to scale Meta with Pangolin?
Free consultation for brands spending >500k / month.