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A long sales cycle, a five-figure ticket price and a narrow audience \u2014 three signs most agencies shy away from B2B. Here’s how B2B PPC lead generation, combined with quizzes, retargeting and email marketing, gave a client a steady flow of leads and gradually drove down the cost of each one.<\/p>\n
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| \u221240%<\/th>\n | $3<\/th>\n | +30<\/th>\n | +16\u201320<\/th>\n<\/tr>\n<\/thead>\n |
|---|---|---|---|
| drop in PPC lead cost<\/td>\n | average lead cost from a quiz<\/td>\n | extra leads\/month from the quiz<\/td>\n | extra leads\/month from on-site chat<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n <\/p>\n What makes a B2B niche hard to work with<\/h2>\nA hard B2B niche combines a long decision cycle, a high ticket price and a narrow target audience \u2014 a combination that makes classic advertising playbooks slower and less predictable. In this case, the client sold products priced in the tens of thousands of dollars: the buying decision took weeks, sometimes months, was signed off by several people inside the company, and every single lead mattered. The core task wasn’t just to drive traffic \u2014 it was to give the sales team a steady, predictable stream of qualified leads they could work systematically instead of chasing scraps.<\/p>\n To solve it, the team leaned on four complementary channels: PPC advertising<\/strong>, paid social with retargeting<\/strong>, quizzes for lead generation<\/strong> and email marketing<\/strong>. Each channel covered a different stage of the funnel \u2014 from the first touch with a cold audience to nurturing and closing already-interested prospects.<\/p>\n B2B PPC lead generation delivers a predictable, scalable flow of leads, but only when tracking is set up correctly \u2014 without it, optimizing campaigns is just guesswork. Before launch, the team ran a technical audit of the site: PPC campaign setup<\/a> started not with the campaigns themselves, but with ecommerce tracking, button click events, cart tracking and phone-number click tracking. Without that data, Google’s bidding algorithms couldn’t learn and optimize against real conversions instead of just clicks.<\/p>\n |