Performance Media Operations
Performance Media Built on Data, Not Guesswork
We manage campaigns across Google, LinkedIn, and Meta with deep analytics integration — so you know exactly which dollar drives which result.
What's included
Everything in this engagement.
Paid Search (Google Ads)
Search, shopping, and performance max campaigns optimized for downstream conversion — not just clicks.
Paid Social (LinkedIn, Meta)
B2B-focused social campaigns with CRM audience integration and offline conversion tracking.
Media Strategy & Planning
Channel mix modeling, budget allocation, and creative strategy aligned to your revenue targets.
Attribution & Measurement
Connect ad platform data to CRM outcomes through BigQuery for true cost-per-acquisition visibility.
FAQ
Questions buyers actually ask.
What ad platforms do you manage?
Google Ads (Search, Shopping, PMax, YouTube), LinkedIn Ads, Meta Ads (Facebook/Instagram), and programmatic through selected DSPs.
What makes your media management different?
We connect ad platform data directly to your CRM and analytics infrastructure. You see actual pipeline and revenue impact — not just platform-reported conversions.
What is the minimum media budget you work with?
We typically work with clients spending $5,000/month or more on paid media. Below that threshold, the management fee-to-spend ratio doesn't make sense, and you're better served by a simpler setup. Our sweet spot is $10K to $100K/month — large enough to test and optimise across platforms, but not so large that you need an in-house team.
Which platforms do you recommend for B2B in APAC?
It depends on your ICP and deal size. Google Search is almost always in the mix for intent capture. LinkedIn is essential for enterprise and mid-market targeting but expensive — we manage it tightly. Meta works surprisingly well for B2B retargeting and lookalike campaigns at lower CPMs. We recommend starting with 2 platforms and expanding based on data, not assumptions.
How often do you report on performance?
You get a live dashboard (Looker Studio connected to BigQuery) that updates daily. We do weekly internal performance reviews and flag anything that needs attention immediately via Slack. Formal strategy reviews happen monthly — we walk through pipeline attribution, spend efficiency, and recommendations for the next period. No waiting 30 days to find out something is broken.
What attribution model do you use?
We build custom multi-touch attribution models in BigQuery. Most clients start with a position-based model (40% first touch, 40% last touch, 20% distributed across middle touches) and evolve from there. The key difference is we attribute to pipeline and revenue in HubSpot, not platform-reported conversions. This means your attribution reflects what actually influences deals, not what Google and LinkedIn want you to believe.