AI-Driven Performance Marketing Services

Lead quality starts with campaign architecture, not post-campaign filtering. We align keyword selection, audience targeting and ad copy to the intent signals that indicate genuine purchase readiness, not just category interest. We configure conversion tracking against the lead quality signals that matter, qualified meetings booked, trials activated, demos attended, not just form submissions. We build exclusion audiences that remove irrelevant segments before they consume budget. And we report on pipeline quality downstream of the lead, which means we know within four to six weeks whether a campaign change that improved lead volume also improved lead quality, or just made the top-of-funnel metrics look better.

Attribution accuracy starts with conversion tracking validation before any campaign goes live. We audit GA4 configuration, verify that conversion events are firing against actual purchase and lead events rather than proxy metrics and check that cross-device and cross-browser tracking gaps are accounted for. We configure data-driven attribution in Google Ads and Meta for accounts with sufficient conversion volume. For accounts where platform attribution is unreliable, we build multi-touch attribution models using first-party data. And we run incrementality tests on major channels to separate genuine attribution from last-touch credit claiming.

Most accounts show measurable efficiency improvements within four to six weeks of account rebuild and optimization, assuming the conversion tracking is accurate and the conversion volume is sufficient for algorithmic learning. For new channels or new markets with no conversion history, the learning period typically runs six to ten weeks before performance stabilizes. Accounts we inherit from other agencies with poor structure and inaccurate attribution often show significant quick wins within the first two to three weeks from structural fixes alone, before AI optimization layers fully activate.

You own everything. The ad accounts are in your name with your billing. The audience data, the conversion data, the creative assets and every insight and report we produce belong to you. We work in your accounts, not in agency-owned accounts that become a retention mechanism. If you bring the work in-house or move to another agency, you take the full account history, the audience lists and the institutional knowledge we’ve documented. We operate this way deliberately because we think it’s the only honest commercial model for performance marketing.

The minimum effective budget varies by channel and market. For Google Ads, a meaningful paid search test requires at least $3,000 to $5,000 per month in ad spend in most competitive B2B categories, more in high-CPC verticals like fintech and legal. For Meta, $2,000 to $4,000 per month provides enough data for the algorithm to optimize effectively. For programmatic, $5,000 to $10,000 per month is typically the minimum for meaningful reach and frequency. Total programme budgets under $8,000 to $10,000 per month in ad spend are difficult to run profitably across multiple channels simultaneously. We’ll tell you honestly if your budget isn’t sufficient to generate meaningful results on a given channel before we take the engagement.

Three models: Dedicated Performance Marketing Team (for full-service, multi-channel programme management), Time and Material (for defined projects, channel launches and campaign bursts) and Fixed Cost (for scoped deliverables like account audits, account rebuilds and CRO sprints). We recommend the model honestly based on your situation, your budget and your in-house capability, not based on which model generates the most agency revenue.

eCommerce performance marketing requires feed management, margin-aware ROAS targets and seasonal planning to be built into the practice from day one. We manage Google Shopping and Performance Max with feed optimization as a continuous discipline, not a setup-and-forget configuration. ROAS targets are set at the product category level to account for margin differences across the catalog. Promotional calendar planning runs three months ahead so budget is in place before peak periods, not scrambled during them. And we build inventory signals into campaign management so spend adjusts as stock levels change rather than continuing to drive traffic to out-of-stock products.

Yes. B2B performance marketing is a significant part of our practice. The approach differs from B2C in several important ways: longer buying cycles require full-funnel campaign architecture rather than direct-response-only approaches, LinkedIn is often a primary channel rather than a supplementary one, conversion events are qualified meetings and pipeline opportunities rather than purchases, and attribution needs to connect paid media activity to closed revenue over a three to nine month sales cycle. We build performance marketing programmes for B2B SaaS, professional services, logistics, fintech and enterprise software with the attribution frameworks and pipeline reporting that make paid media accountable across the full B2B buying cycle.

Yes, and it’s one of the most common ways we start a new engagement. We conduct a full account audit first: campaign structure, conversion tracking accuracy, attribution configuration, audience quality, creative performance history, landing page conversion rates and the accumulated account decisions that have compounded into the current performance baseline. We give you an honest assessment of what the current agency has built, what’s worth keeping and what needs to change. Transitions are managed carefully to preserve conversion history and audience data while implementing structural improvements.