2.
Telephone, 1C, CRM — this is the minimum, without which there is nothing to do in B2B. Cohort analysis is the most hackneyed example of customer base analytics. They identify cohorts (segments) of people based on some similar characteristics and look at what happens to these groups (cohorts) over time.
Conducting a cohort analysis is easy. However, south africa consumer email list determining what data to use and how to divide the groups is not easy.
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3. Ability to build customer lifecycles
Where ROI fails, because time, net profit and advertising channels are not normally taken into account, all this can be taken into account in life cycles.
Only through lifecycle analysis can you see how customers go through different advertising journeys. To initially attract a visitor requires a completely different set of marketing activities than those needed to attract them for subsequent purchases.
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As a result
All data and events are collected not only from the website. It is necessary to use mobile devices, desktop computers, cash registers from an offline store, and delivery service telephone data. All data must be in a single log file. Unfortunately, these are different systems now, and therefore different log files. There must be a unified log in which all this data will be stored.
Web analytics as such is no longer interesting. In fact, it is becoming business analytics. This is an old trend that is now gaining special importance.
Linking with accounting systems
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