Performance Marketing Strategy Built for B2B Lead Generation, Not Vanity Metrics.

Primarily Google Search, Meta (Facebook & Instagram), and LinkedIn — matched to wherever your actual buyers make decisions, not every platform by default.

No. My pricing is a flat consulting fee, so I'm never incentivized to inflate your ad budget to increase my own fee.

Search campaigns typically show directional performance signal within the first 2-3 weeks of launch, since search captures existing intent. Meta and LinkedIn full-funnel campaigns need 4-6 weeks of real conversion data before aggressive optimization is safe to apply. Most ad platforms need roughly 50 conversions per ad set within a week to exit the learning phase and optimize reliably.

A realistic minimum is $2,000-$3,000/month in ad spend — enough to generate the conversion volume most platforms need to optimize meaningfully within a normal reporting cycle. The exact number depends on your industry and funnel length, confirmed during the audit rather than quoted generically upfront.

The fastest lever is usually fixing conversion tracking and landing page conversion rate before touching targeting or spend — most CAC problems are attribution or funnel leaks, not audience problems. Cutting top-of-funnel volume to lower CAC almost always costs more pipeline than it saves. CAC equals total sales and marketing spend divided by new customers acquired — cutting the volume side without fixing the conversion side just delays the same problem.

Automated bidding works well once a campaign has enough conversion volume and accurate tracking for the algorithm to learn from — typically 30 or more conversions per month per campaign. Below that volume, or with unreliable tracking, manual or semi-automated bidding gives more control and avoids the algorithm optimizing toward the wrong signal.

• Automated bidding needs clean, accurate conversion data to work — garbage tracking in means garbage optimization out
• Low-volume campaigns often perform worse under full automation since the algorithm never exits its learning phase reliably
• A hybrid approach — automated bidding on well-tracked, high-volume campaigns, manual control on newer or lower-volume ones — is common in practice
• Automated bidding removes day-to-day bid management but doesn't remove the need for account structure and audience strategy

Most ad creatives need at least 3-5 days and roughly 1,000 or more impressions per variant before performance data is statistically meaningful enough to judge — killing a creative after a few hours or a handful of clicks usually means reacting to noise, not a real signal.

• Statistical significance depends on volume, not calendar time — a low-traffic account needs longer to gather enough data
• Early performance swings are common as the algorithm's learning phase settles, not necessarily a sign of a bad creative
• A creative clearly underperforming on cost-per-click or CTR within the first day can sometimes be paused early to limit wasted spend
• Testing multiple creatives simultaneously, rather than sequentially, reaches a statistically valid answer faster

Yes — paid media search term reports and landing page conversion data reveal exactly which keywords and messaging convert before investing months into ranking for them organically, turning paid campaigns into a fast, low-risk validation layer for SEO strategy.

• Paid search term reports show real searcher language, often surfacing long-tail keyword variants missed in keyword research tools
• Landing page test results from paid campaigns can inform which messaging to prioritize on organic-facing pages
• High-converting paid keywords are strong candidates for dedicated SEO content, since commercial intent is already proven
• This works in reverse too — strong organic-ranking topics can inform which audiences and messages to test in paid campaigns