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He explained how leadgeneration uses a short term, sales-focused strategy. It has extremely low close rates, and high volumes of junk leads. On the other hand, demand generation , on the other hand, uses a long term, education-focused strategy.
Some of the same underlying principles apply, but because of the inherent differences in buying decisions and salescycles, pulling B2C optimization practices straight from the book might be a bad idea. There are a few things that make optimizing for B2B a different beast: The salescycle is usually longer.
If you’ve been in business for about 10 years or more, think back – what was your salescycle before the search engine ruled the world? I am willing to guess that if you said your salescycle used to be 6 months, and you really look at the time from engagement to close today, it probably is 6 to 8 weeks now.
For Web and SaaS businesses with smaller transactions at higher volumes, this kind of modeling and tracking is much easier, as web-based leadgeneration and marketing have easy to implement measurements, and the greater the volume of transactions, the more clearly patterns emerge.
In my case (LucidEra -- a SaaS analytics provider focusing on sales, marketing, and financial analytics), weve found that success requires not only building some best practices for analytics into our solution, but also coming up with a repeatable and scalable way to show the customer how to use the analytics and how to interpret the results.
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