Lead Quality Analysis

First we define what a good lead means for your business. For a service company it may be a qualified enquiry in the right city with a realistic budget; for a clinic, a booked and attended appointment; for a B2B firm, a sales-accepted opportunity. We agree a small set of outcome labels, such as new, contacted, qualified, proposal sent, won, lost and junk, with reasons for loss. We then collect lead records for a meaningful period, usually three to six months, from your CRM, sheet, call logs and form tool, and join them with marketing data: source, medium, campaign, keyword or ad group, landing page and device. Where source data was not captured, we estimate cautiously and flag it, and we recommend improvements through lead source attribution and offline conversion import support. With the joined data, we calculate for each segment the share of leads that were reachable, qualified and won, the average value of won deals, and the cost per qualified lead and per customer. We look for patterns: a campaign with many leads but few qualified ones, a keyword that brings the wrong intent, a landing page whose form attracts price-shoppers, a time of day when calls go unanswered. We examine the free-text and form answers for signals, for instance that leads mentioning a particular budget or timeline convert far better. We also review response times and follow-up, since delays can hide good leads inside poor numbers. The output is a report with the key segments, clear charts and a short list of actions: pause or reshape low-quality sources, add a qualifying question, change the offer wording, set up call tracking, adjust bidding toward qualified outcomes, or fix the follow-up process. We do not guarantee better sales, since closing depends on your team, price and market, but the analysis shows where improvement is most likely and avoids spending more on volume that does not turn into business.