How can you improve your email marketing campaigns with advanced analytics tools?

#Email #marketing is a key strategy for every marketing #organisation in #b2b and #B2C domains. Hence the analytics associated with email marketing entails multiple activities. All customer behavior from product awareness till buyers journey are very important. Email #Open rate, #CTR, #CTOR, #Unsubscribe rate, #deliverability are some very important #metrics for identifying the best #analytics tools.

#Segmentation means identifying a group of audience who will receive a #marketing #offer per their eligibility. In other words we can also say, a list of #audience identified based on a given business rule after applying all #inclusion or #exclusion criteria. In the #MarTech world we categorize the audience with #smartsegments and #strategic #segments, both have their significance per their usability but definitely help for measuring the campaign effectiveness. There are multiple tools for reporting but now email marketing tools provide building reporting like #hclunica earlier used #cognos and now with #birt. It can connect with #powerbi, #tableau, #Googlelooker.

#predictive #analytics is very crucial for implementing MarTech strategy now a days. #Unica #Interact has smart #segmentation and #predictive #modeling inbuilt, which makes it unique while using analytics with customer communication. Tools also consist of #predictive #modeling to ensure right communication with #prospect or customer. #Selflearning #models of different tools helps to clearly defined predictions based on historical #datasets. All #promotional #communications can be made more effective based on #historical customer #behavior and #customer #transaction #patterns . To achieve the best conversion rate from rate, it is must to have predictive insights in the email marketing.

#A/B #testing a fabulous concept in not only #email #marketing but also in all #digitalstrategy . This helps to understand more about #CTA #performance, #email #content #effectiveness, #Subject line impact, #personalization vs non personalized content. It can be leveraged in numerous ways to clearly articulate the insights we receive. Almost all marketers use A/B test strategy in content , subject, audience and many more factors which provides later insights to understand more about customer behavior, their buying strategy & customer journey. Right Segmentation identification can be clearly identified with this. A/b testing is now out of box feature in #Unica #Campaign and #deliver and in other similar products ex #marketo, #sfmc, #SLA

#Realtime #analysis is another key feature to make email marketing more effective. #rtp #realtime #personalization is factually based on real time analysis. #sla #subject #line #analyzer , run time #offer #personalization based on customer behaviour in website and presenting offer per visit and most time spent in Web section are different examples for the same. #sas #rtdm real time decision maker, #pega #nba, #hclunica #interact, #unica #journey are different products serving offer personalization based on real time analysis.