The examples below are fictional and illustrative — built to show our approach, not to claim real client results. All metrics are realistic sample ranges.
Steady referral business but unpredictable months. No paid presence, no tracking, and a website that wasn't built to convert paid traffic.
Local search campaigns around remodel-intent keywords, a dedicated estimate-request landing page, and call tracking so every lead source was measurable.
Roughly 90 days from audit to a stable, optimized campaign.
In an engagement like this, we'd typically look for cost per lead to trend down 15–30% from launch baseline as negatives, ad copy, and page tests compound, with monthly estimate requests growing steadily quarter over quarter.
This is a fictional, illustrative case study with sample metrics. It does not describe a real client, and results vary by industry, budget, competition, creative quality, and offer.
Great close rate on calls, but almost no calls. Previous agency drove clicks that never became meetings.
Intent-mapped keyword research separating buyers from job-seekers and students, LinkedIn-style audience refinement on paid social, and a landing page rebuilt around a single clear consultation offer.
Four to five months, reflecting a longer B2B consideration cycle.
A realistic target here is lead quality improvement first — a higher share of leads accepting a meeting — followed by gradual volume growth of 20–40% over the engagement as the account matures.
This is a fictional, illustrative case study with sample metrics. It does not describe a real client, and results vary by industry, budget, competition, creative quality, and offer.
Feast-or-famine demand: overwhelmed in July, quiet in October. Budget spent evenly year-round without matching demand curves.
Seasonal budget pacing, service-specific ad groups (repair vs. maintenance vs. install), and a mobile-first landing page with click-to-call prominent for emergency intent.
One full season (about six months) to prove the pacing model.
Sample outcomes for this pattern: steadier month-to-month lead flow, better budget utilization in shoulder months, and a cost-per-lead range that narrows rather than spikes with the weather.
This is a fictional, illustrative case study with sample metrics. It does not describe a real client, and results vary by industry, budget, competition, creative quality, and offer.
Previous ads repeatedly disapproved for policy issues. The team assumed paid media 'didn't work' for their category.
Policy-compliant creative and landing page copy, careful claim substantiation, and native advertising tests alongside search — all built to pass review, not dodge it.
About 90 days, including platform review cycles.
Realistic expectations: consistent ad approval, a stable account standing, and gradual booking growth in the 10–25% range once compliant campaigns can actually run and be optimized.
This is a fictional, illustrative case study with sample metrics. It does not describe a real client, and results vary by industry, budget, competition, creative quality, and offer.
Every engagement starts with an honest audit — not a promise.
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