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Upper Ontology (Generic Common Knowledge) Middle Ontology (Domain-spanning Knowledge)

so it's easy to track, whether it's a trade show handout or an ad in a magazine We recently had a recruiting effort going on where we stuck the URL on the side of a van and drove it around the parking lots of competitors that are having struggles and laying people off It was a perfect opportunity and real cheap way to get a lot of good leads I'm curious about the calculations I want to know if there's a dollar figure attached to acquiring a lead, and then passing it along to the sales team "We can rarely trace a single lead to a single sale We can track an increase in people visiting our Web site based on a certain type of ad or a promotion, but we are not very good as yet at tracking that lead through the entire process to a sale.

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The total transmit power available at the base station is the main capacity limiting factor in the downlink. It was assumed that this power equals 43 dBm, thereby clearly limiting the number of available TCH channels (CCHs were also included in the simulations). It was found that the capacity loss is slightly bigger in the downlink compared to the uplink. The experienced loss in capacity for both links is presented in Figure 9.11; it varies up to 20 % in the studied case. For a uniform traffic distribution (as here) the capacity loss is mainly caused by a non-uniform load within the considered cells when the base station location is not within the triangular grid, moving the problem from an irregular site location to a non-uniform traffic distribution (these two cases are replaceable in many situations). On the other hand, real life conditions can compensate this loss by the operator moving sites closer to intensive traffic areas (but, if not done properly, can also exaggerate it). A similar case is presented in [2,3], but for more realistic network and propagation data and smaller cell sizes. The authors there analyse the network consisting of 17 three-sector base stations with 1.5 km or 3.0 km site-to-site distance, depending on the studied case. Only voice traffic is simulated, and indoor users are also considered. The base station location deviation of one-quarter of the site spacing was assumed. The conclusions from the Monte-Carlo simulation for this kind of irregular network have been that the network performance in terms of service probability, SHO probability and throughput remains almost untouched. It has been shown that hexagonal grids do not need to be optimal when terrain topography and morphology are taken into account.

Next, you could print out this variable:

A lead costs about a dollar if a pure sale comes through the Web, about $25 through a call center, and it's about $500 to $750 depending on the country for a live sales call But it's always going to wind up as a live sales call anyway; it's just how many of them, how qualified are they, and how many prospects can one hit with live people " A large test and measurement technology company I spoke with calls it demand creation Their Internet director spells out the sequence "demand creation creates leads which creates opportunities which creates a funnel opportunity which creates a quote which creates an order "So," he continues, "we're setting that whole process up to have traceablity We finally figured out how to get from funnel opportunity to a quote, because that was from our sales force system across to order processing.

The content cannot be validated precisely where it is of mixed content type. Cardinality is limited to being defined to zero, one, or many occurrences. DTDs lack named element or attribute groups that would enable us to reuse them. XSD Schema was designed, among other things, to provide superior datatyping to the DTD, to provide greater flexibility but yet with control of content models, and to provide definitions of cardinality not possible using a DTD.

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