Multichannel Analytics - What is it, tips and examples

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Modern marketing covers many channels: from social networks to search and email newsletters. To understand how each of them affects conversions, multichannel analytics is necessary. This approach allows you to comprehensively analyze all channels and optimize marketing strategies to increase profits and reduce costs.
Why do you need multi-channel analytics?
In the digital marketing era, users often interact with a brand through multiple channels before making a purchase. For example, they may first see an ad on Instagram, then click on an ad in a search engine, and ultimately place an order through an email newsletter. Multichannel analytics takes into account all these touchpoints and helps you list of peru whatsapp phone numbers understand how each channel contributes.
Without a comprehensive analysis, marketers face a number of problems:
Difficulty in assessing the effectiveness of individual channels.
Redistribution of the budget in favor of the least profitable channels.
Insufficient optimization of the sales funnel, due to which customers may not complete the purchase.
multi-channel analytics
Basic principles of multichannel analytics
Multichannel analytics is based on several key principles:
Attribution. Determines how much each channel contributed to the conversion. There are different attribution models: linear, positional, time-decay, and others.
Touch Sequence. Considers not only the number of touches, but also their order. Sequence analysis helps you understand which channel is effective at each stage of the funnel.