Paid Search

Paid search is the practice of buying ad placements on search engine results pages (SERPs) to capture intent-driven traffic. You bid on keywords, your ad is shown to people actively looking for something, and you pay when they click (PPC — pay-per-click). When it works, it feels like cheating at demand capture; when it doesn’t, it burns budget fast.

Unlike Organic Search, you can scale reach immediately and target by query, location, device, and time. The trade-off is cost discipline: you must watch bids, query matching, and landing page relevance to keep unit economics healthy.

Where paid search fits in analytics

Paid search is a classic lower-funnel channel: you measure it by intent quality and downstream outcomes. Core metrics:

Short formulas you’ll actually use:

  • CTR = Clicks / Impressions × 100%
  • CPA = Cost / Conversions

Mini example: If a campaign spends $1,200, gets 3,000 clicks from 60,000 impressions, and drives 60 sign-ups → CTR = 3,000/60,000 = 5%; Conversion Rate = 60/3,000 = 2%; CPA = $1,200/60 = $20.

Practical analytics checklist

  • Tie every campaign/ad group to clean UTM Parameters (e.g., utm_medium=cpc, utm_source=google, utm_campaign=brand_core, utm_term=brand+keyword).
  • Split branded vs. non-brand. Branded inflates CTR/CR and can mask poor non-brand economics.
  • Monitor search terms to prune waste and expand high-intent variants.
  • Align queries → ad copy → landing page; relevance boosts quality and lowers cost.
  • Report by intent bucket (brand, competitor, category, long-tail) and by funnel stage.

Typical paid search metrics to watch

MetricWhat it tells you
CTRQuery–ad fit and ad appeal
Conversion RateLanding page + offer fit
CPACost efficiency per conversion
Revenue / AOVDownstream value quality

TL;DR: Paid search is a precision tool for harvesting demand. Instrument it with rigorous tagging, segment by intent, and judge it by CTR → Conversion Rate → CPA, with attribution to keep the bigger journey honest.