Paid Media & Performance Marketing
Your brand needs an agency to engineer multi-channel systems where targeting, creative, and the best possible attribution work together to drive CACs that make CFOs smile. B2B, B2C, B2B2C, B2A (agents) e-commerce, and extra compliance depth in regulated industries.
AIMCLEAR builds paid campaigns built to convert across surfaces where your buyers spend time, including Google, Meta, LinkedIn, TikTok, Amazon, X, Pinterest, Reddit, Quora, OTT (like Disney+, Uber, Roku, etc.), podcasts, paid inclusion, and channels most agencies haven’t touched yet. You’re ready for customer-side agentic purchasing platforms (bots shopping on the customer’s behalf).
Sell More, Spend Less, Eat Competitors for Lunch
Audience Intelligence & Targeting
Find buyers before they search. AIMCLEAR maps ICPs by device behavior and purchase journey across surfaces, models audience viability by psychographic and demographic variables across online/offline and regional segments, and activates first-party data so your CRM becomes a paid media asset. When every competitor has the same AI tools, what you feed the system is the only differentiator. Incrementality testing validates go-to-market targeting for global brands expanding into new markets and multilocation products alike.
Measurement & Proof
Platforms grade their own performance. AIMCLEAR measures true incremental lift, correlates offline sales to online activities, and models brand halo impact across the full picture. AI scenario modeling and gap analysis forecast outcomes before dollars go out the door. Marketing-finance alignment gets built in from the start: CAC in context of COGS, ROAS as input rather than outcome, LTV-informed bidding. The language CFOs actually trust.
Campaign Architecture & Optimization
Account structures get built to survive platform policy changes and algorithm shifts, consolidated for signal density and split only when the business case demands it. Automation layers human intelligence on top of platform systems, with business rules the algorithms can’t see, drift monitoring, and override capabilities for situations the machines weren’t trained on. Real-time spend and budget management runs daily. Multivariate testing grids cover targets, creative, and landing experiences simultaneously. Shopping and PMax get full treatment: Merchant Center audits, product feed tiers, asset group setup, and SKU-level testing. For accounts in crisis, full-stack data management diagnoses what broke and rebuilds from there.
Cross-Channel Strategy & Deliverables
No media commission or markup on annual spend under $5 million. Above that, the percentage is modest. Paid and organic tactics merge to seed conversations across Reddit, LinkedIn, Quora, and high-citation publications, content built to earn its way into AI-generated answers. Media plans above and below the fold are available as standalone deliverables, alongside landing page design and development.
Most brands spread budgets too thin across audiences too large to measure brand halo, which makes it impossible to prove how brand saturation drives performance or defend the spend to leadership. Testing brand halo in lower-cost sandboxes produces proof, a story for leadership, and results that hold up in the quarterly review.
Every Dollar Accountable. Every Channel Engineered to Convert.
Platforms Work for Themselves. We Work for You. Default settings, recommendations, and attribution models are engineered for platform economics, not yours. Every default says spend more. Every attribution model takes credit that isn’t earned.
Proof Over Vanity Metrics. Leadership demands growth, finance demands efficiency, and dashboards full of impressions and click-through rates answer neither question. AIMCLEAR builds measurement around the levers that actually move revenue.
Built for the Complexity You’re Actually Living In. Whether you’re running a lean B2B team or scaling a B2C brand with eight figures in spend, the variables are the same: constant platform changes, AI rewriting how buyers find products, and no margin to get it wrong.