Paid Social Portfolio Management

Each platform gets a clear job inside one paid-social portfolio.

Meta, LinkedIn, and TikTok don't share a campaign shape. Each platform gets a declared job in the journey along with its own creative and audience rules. A shared conversion-quality contract holds the portfolio together. You end up with a paid-social portfolio you can explain platform by platform, with each channel's role clear on its own. For teams already running paid social on more than one platform, or ready to add a second one without copying every habit from the first.

A paid-social strategist coordinating several native campaign workstreams around one shared portfolio board

Some of the 500+ brands we've worked with

See all references
  • KPMG
  • Acıbadem Sağlık Grubu
  • Defacto
  • Edenred
  • eOfis
  • Sporjinal
  • BAT
  • Amazon
  • BMW
  • Shell
  • Hyundai
  • PepsiCo
  • Red Bull
  • Decathlon
  • MediaMarkt
  • Bayer
  • Sanofi
  • EY
  • GE
  • 3M
  • Domino’s
  • Lexus
  • Trendyol
  • Hepsiburada

How the work runs

Six human gates hold the portfolio together

Each phase leaves reviewable evidence. AI can research, draft, and compare within that record. It must not move budget between platforms, publish creative, or load an audience. Named human owners make those decisions.

How we hold ourselves to it

  • Every platform earns a job before it earns a budget
  • The strategy stays shared while execution stays native
  • Downstream quality guides optimization ahead of raw clicks
  • AI multiplies the options. Named humans keep the authority.

  1. Agree the portfolio contract

    Define the value event, the quality rule behind it, approved claims, consent limits, sales capacity, and who signs off on a new platform, a budget move, or a launch. Strategy lead and client owner approve the contract.

    Signed portfolio contract naming the value event, quality rule, approved claims, consent limits, capacity and approvers.

  2. Map roles and audience evidence

    Pull research, CRM patterns, sales insight, and current channel history, then give each platform one journey job: create demand, build consideration, capture response, or retain. A human strategist validates every persona and eligibility claim.

    Platform-role map giving each platform one journey job, backed by research, CRM and channel history.

  3. Design the portfolio architecture

    Assign each platform its budget, conversion contract, test reserve, and escalation path. The architecture records why each platform belongs in the portfolio. The client approves platform scope and the budget envelope.

    Portfolio architecture assigning each platform its budget, conversion contract, test reserve and escalation path.

  4. Build the creative, then check it twice

    Turn approved evidence into concepts, then adapt the hook, pacing, and format for each platform. Configure the campaigns paused and verify destinations, audiences, budgets, and naming before anything can spend. Creative, brand, and a second reviewer sign off before launch.

    Native creative set plus a paused-build QA record covering destinations, audiences, budgets and naming.

  5. Watch the approved scope go live

    Activate only the approved scope, confirm delivery and signals are working, and use the runbook the moment a platform behaves differently than expected. An authorized media owner makes every live change.

    Launch record confirming delivery and signals, with the runbook step taken when a platform deviated.

  6. Decide, then feed the learning back

    Scale, adapt, hold, reallocate, or stop a platform's role, and record the evidence, the uncertainty, and the next review date. The channel leads and the portfolio owner approve the decision.

    Portfolio decision entry naming the action, the evidence, the uncertainty and the next review date.

What lands with your team

Every portfolio decision leaves a record

The role map, ledgers, and decision log explain why each platform is active, what changed, and what comes up at the next review.

  • Platform-role map

    Every live platform's audience, journey job, offer, creative mode, and destination in one readable view.

  • Creative hypothesis and adaptation matrix

    Each variant's source evidence, native adaptation, and the decision rule that will judge it.

  • Audience and exclusion ledger

    Source, consent, overlap, and refresh status for every audience in play, with duplicated reach shown in the same record.

  • Portfolio decision log

    What moved, what may explain it, what's still unknown, and which action is approved next.

Before the work starts

When this work is the right next step

Every platform can report a win. That doesn't mean the business gained one. Meta, LinkedIn, and TikTok each track delivery and conversions their own way. With no shared role per platform, the same lead can look like three separate wins, and budget quietly drifts toward whichever dashboard reports the lowest cost before downstream evidence has been reconciled.

A good fit when

  • Meta, LinkedIn, TikTok, or a second platform matters to the business, but nobody can explain the distinct journey job or budget logic each channel should own.
  • Named owners, approved audience data, and creative sign-off exist on each live platform, but no shared portfolio record connects them.
  • One platform's campaign shape keeps getting copied into the others, even though each channel needs its own creative, audience rules, and journey role.
  • Two platforms are already claiming credit for what looks like the same lead.
  • One creative file gets resized across platforms, even when each placement calls for a native build.
  • Budget starts following the lowest reported cost ahead of the role each platform was given.
  • Nobody can say how much audience overlap already exists across platforms.

Better handled as other work when

  • Only one small pilot is live and it has not found its native platform shape yet, so portfolio rules would arrive before useful channel evidence.
  • The team cannot separate a useful lead or order from wasted volume, so a shared conversion-quality contract has no outcome to govern.
  • Daily delivery uses the whole budget, leaving no test reserve for a second platform to learn before its role is judged.

People who own a single channel

Paid Search, Paid Social, CRO, and Programmatic each run under a named owner at Zeo. The consultants below are matched to the channel this page is about, so you can see who you'd actually work with.

Tools we use

Tools behind this work

  • Optmyzr

    the one report both platforms actually land in, without a manual export from either

  • Northbeam

    the shared conversion-quality read that holds regardless of which platform is reporting the win

Turn platform activity into a portfolio

Make the next platform decision explainable

We can start with the platform whose role is least clear and trace the evidence behind its current budget before discussing more spend.
Review your paid-social portfolio

The questions we hear most

Is this the same as Zeo's Meta or LinkedIn ads service?

Platform-specific services handle native execution on one channel. Portfolio management sets the operating rules across them. It covers platform roles, shared conversion quality, creative learning, audience overlap, and budget comparison. Each channel still keeps its own execution model.

How do you compare platforms fairly when each one reports differently?

Each platform is judged against its assigned role and the agreed value and quality rules, with platform-reported CPA kept as one input.

Can AI generate and publish ads on its own?

No. AI can draft creative variants, cluster research, and compare a paused build against the checklist. A named human approves every claim, audience, creative version, launch, and spend change.

Do you move budget to whichever platform reports the lowest CPA?

The lowest reported CPA does not decide the move. We compare the next unit of spend using the shared quality rule, the platform's role, confidence, and downstream evidence. Native CPA stays one input in a decision with visible attribution limits.