Hi friend what is PPC ?

Dani AI

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As already gave basic links and suggested searching, this short primer updates the 2013 thread and gives a practical, hands-on checklist so and others can get started without wading through long articles. Platform names and features have changed since 2013 (for example, AdWords is now Google Ads and Bing Ads is Microsoft Advertising), so the focus below is on the actions that still matter.

Key things to understand:

  • Common platforms: Google Ads, Microsoft Advertising, Facebook/Instagram Ads, Amazon Ads (each fits different goals).
  • Campaign types: search, display, shopping, video, remarketing — pick the one that matches the intent (search = intent, display = awareness).
  • Core metrics: CPC, CTR, conversion rate, CPA, ROAS, and Quality Score (expected CTR + ad relevance + landing page experience).

Quick start checklist:

  1. Define a single measurable goal (lead, sale, signup) and a realistic daily budget.
  2. Do keyword research; group tightly themed keywords into ad groups.
  3. Create 2–3 ad variations per ad group that match user intent and include a clear call to action.
  4. Ensure landing pages match the ad and load fast on mobile; one clear CTA per page.
  5. Set up conversion tracking (platform pixel or Analytics + goals) before driving traffic.
  6. Add negative keywords from day one to reduce wasted spend.
  7. Start with conservative bids, collect conversion data, then consider automated bidding.
  8. Review search-terms reports weekly; pause low-performers and iterate ad copy and landing pages.

Common mistakes and quick fixes:

  • Broad keywords without negatives burn budget — use long-tail and phrase/exact matches.
  • No conversion tracking = guessing. Track everything you care about.
  • Ignoring Quality Score increases CPC; improve relevance and landing experience.
  • Let campaigns run unmonitored; optimize by data (not intuition).

This is a compact, practical follow-up to the earlier replies: use it as a checklist to set up a small test campaign, measure results, then scale.

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