Paid social is the work of getting in front of a defined audience in their feed — interest-led, behaviour-led, lookalike-driven — at the moment they're scrolling. Different specialism to paid search (which is intent-led). We run paid social through the AOS across Meta, LinkedIn, TikTok, X and YouTube — same continuous-optimisation loop, calibrated to social-platform creative velocity and audience economics.
What we run
The standard programme covers:
- Meta (Facebook + Instagram) — feed, stories, reels, in-stream, lead-gen ads. The dominant channel for most B2C and a growing channel for B2B brand work.
- LinkedIn — sponsored content, message ads, lead-gen forms. The dominant channel for most B2B paid social.
- TikTok — in-feed and TopView formats. Increasingly significant for younger-skewing B2C and emerging B2B (the platform's professional ad inventory has grown materially).
- X — promoted posts and ads. Niche but useful for thought-leadership amplification and crisis-window targeting.
- YouTube paid — bumpers, in-stream, discovery. Often grouped with paid search (Google) but the creative and audience model is much closer to social.
How the work runs
Inside the AOS
The continuous optimisation loop
Same five-phase loop as paid search, calibrated to social-platform creative velocity and audience economics.
- Configure
Audience model + creative direction + commercial bounds
First-party audiences (CRM exports, site visitors, engagement audiences), lookalike strategies, exclusion lists. Brand and creative guardrails. Commercial targets and policy bounds.
- Plan
Channel mix + creative briefs
Budget allocation by audience and channel, creative direction per format (vertical video, carousel, static, lead-gen), measurement plan.
- Execute
Push live across platforms via API
Approved campaigns ship to Meta, LinkedIn, TikTok, X, YouTube via official APIs. Server-side conversion tracking (CAPI, Conversion API) wired from day one.
- Optimise
Variant velocity + audience reallocation
Fresh creative variants ship continuously inside brand rules. Underperformers pause. Audience-budget reallocation runs against attribution signal. Creative fatigue caught early before performance decays.
- Attribute
Closed-loop CRM signal back to platforms
Conversions and revenue flow back from the CRM into the platforms (Meta CAPI, LinkedIn Conversions API, TikTok Events API). The optimisation algorithms learn from real revenue, not just ad-platform conversions.
Why creative velocity matters more than creative perfection
On social platforms, creative is the variable that moves performance most. Audiences saturate fast — 4-6 weeks per variant in B2C, 6-10 weeks in B2B. The agencies that win on social aren't the ones producing the single best creative; they're the ones producing the largest VOLUME of good-enough variants and letting the algorithm find the winners.
Most fixed-team operations cap out at 5-10 fresh variants per channel per month. The AOS handles 30-50 for B2C and 15-25 for B2B — variant production runs through the platform under brand and policy guardrails set by senior creative direction.
What stays human: campaign concept, brand voice, the big visual ideas, escalation when the platform surfaces something unusual. What runs through the platform: production-scale variant testing, headline/copy iteration, format adaptation across channels, performance-driven retirement of fading creative.
First-party audience strategy
Third-party cookies are degrading; iOS App Tracking Transparency has reduced the audience-signal Meta and other platforms can build from third-party data. The durable answer is first-party audiences:
- CRM-exported audiences (customer lists, lifecycle stage segments, lookalike seeds) uploaded server-side via hashed identifier matching
- Site-visitor audiences captured via server-side pixel + first-party cookies (resilient to ITP)
- Engagement audiences (video viewers, ad clickers, page engagers) built natively in each platform
- Email-engaged audiences synced from your email platform (engaged subscribers, recent purchasers)
These audiences perform materially better than third-party data in 2026 — they're durable, they're owned by you, and they survive platform privacy changes. We build the architecture to maintain them as part of the engagement.
How performance is measured
Same metric framework as paid search — channel-level performance for reallocation decisions, blended ROAS for board-level reporting, CRM-attributed revenue for the truth signal.
Interactive · Channel Benchmark Lookup
Indicative paid social channel benchmarks
Pick your industry, channel and region. Useful for sanity-checking your assumed conversion economics before launching.
Cost per click
£3.62
Local currency, indicative
Click-through rate
6.66%
Click rate on impressions
Conversion rate
7.52%
Click → primary action
Cost per primary action
£48
Cost per lead
How to read this
Per-channel benchmarks compiled from public industry reports (WordStream, LocaliQ, Databox, LinkedIn marketing benchmarks) plus Involve Digital portfolio data, in USD baselines. Industry multipliers are applied to search-style channels; social channels get the conversion-rate adjustment only because CPC there is behaviour-driven, not query-driven. Regional CPC multipliers and currency conversion are applied last. High-ticket B2B uses a 0.25× CVR dampener so the click → qualified-enquiry rate stays realistic. These are starting points; real proposals calibrate against your own actuals.
Want benchmarks calibrated against your real account data, not just industry averages? The Growth Discovery models your specific mix.
Run the discovery→AI-powered vs traditional paid social delivery
Operating model
What changes when paid social runs through the platform
What it costs
Same fee schedule as paid search — sliding-scale percentage of monthly media spend. Most programmes run paid search and paid social together; the combined media spend tier determines the fee percentage.
Interactive · Cost Calculator
Compare against your current paid social setup
Set your in-house headcount, agency retainer, tools and media spend. The calculator shows side-by-side annual cost vs an AI-powered model.
Your current setup
Current annual cost (excluding media)
£180,000
People + agency + tools. Media spend is held constant on both sides.
AI-powered agency · annual cost (excluding media)
£85,202
Management fee on £20,000/month spend at 23.0% + your existing tools.
Difference
£94,798/year
£7,900/month freed up. Reinvested into media, that’s an extra 4.7 months of working spend each year.
Indicative only. Loaded cost per head includes salary, oncosts, software seats and overhead. Real proposals model your specific channel mix, attribution and margin targets via the discovery.
Where this service wins
- B2C brands with a deep creative library and the appetite for high variant velocity
- B2B programmes on LinkedIn with closed-loop CRM signal — the gap between platform CPL and CRM-qualified-CPL is usually 3-5x; closed-loop fixes it
- Brands hitting a creative-supply ceiling — fixed teams can't sustain 30-50 fresh variants/channel/month; the platform can
- Multi-channel social programmes (3+ channels) where the rebalancing capability across audiences and platforms compounds
Where it doesn't fit
- Single-channel programmes (e.g. only Meta) — the value comes from multi-channel reallocation; single-channel cuts off most of the upside
- Brands without a creative pipeline that can keep up — the platform produces variants under brand rules, but it doesn't invent the brand. Need a creative source upstream
- Heavily regulated sectors where every variant needs compliance sign-off — the velocity benefit is capped by approval throughput
Read deeper on this
- Paid Search & Display — the intent-capture half of the performance media stack.
- Conversion tracking foundations for AI-led marketing — the server-side tracking work paid social depends on (Meta CAPI, LinkedIn Conversions API, TikTok Events API).
- Why your CAC is climbing — and what to do about it — the privacy + signal degradation forces hitting paid social hardest.
FAQs
Common paid social questions
Do you work across all the social platforms?
What's your fee model?
Will you produce creative or do we supply it?
How do you handle the iOS attribution gap (ATT)?
Do you use Meta Advantage+ / Performance+ campaigns?
How quickly does paid social start performing?
Can we run paid social as a pilot before committing?
What's the relationship between paid social and content?
How do you handle brand safety on platforms with volatile content moderation?
Will you optimise for organic social engagement too?
Sources and further reading
- Meta — Conversions API documentation — Meta's official guide to server-side conversion tracking.
- Apple — App Tracking Transparency — Apple's developer documentation on the ATT framework.
- LinkedIn — Conversions API documentation — LinkedIn's official guide to server-side event tracking.