Subject Line Optimization in Email, APN and BPN broadcast

Analyse and optimize a Email subject line, APN Titles and BPN Titles

In order to use Subject Line Optimization, click on 'Test Subject Line' beside subject line input.

Netcore’s AI powered SLO helps the marketer experiment and finalize the best possible Subject Line/Title for a campaign, by suggestively guiding him/her select the best possible Subject Line/Title by:

Scoring any given Subject Line/Title
 We use Machine Learning based supervised algorithms to score a Email, APN and BPN campaigns, if it’s sent with a particular subject line within a specific time frame. This can help the marketer to compare different subject lines and decide which of them can tentatively perform better.

Showing top 5 best and worst performing similar subject lines historically
 This helps the marketer by matching the entered subject line with all the subject lines which have been used earlier, in terms of similarity score, and selecting the best and worst five most similar subject lines based on open rate and spam score respectively. This helps the marketer by matching the entered subject line with all the subject lines which have been used earlier, in terms of similarity score, and selecting the best and worst five most similar subject lines based on open rate and spam score respectively.

Predicting the Inboxing Quality for Email Campaigns
 We analyze the subject line and evaluate the propensity of the campaign email going to spam, based on which we suggest if it has “High” or “Low” inboxing chances. The marketer can use this spam analyzer, to ensure the campaign enjoys higher reach. Generally, a higher reach ensures higher open rate and eventually results in higher conversion.

Sentiment Analysis
 Subject lines featuring extreme sentiments, either positive or negative result in higher open rates. Really crazy, isn’t it! People get intrigued when they see unexpected strong words like “MADNESS”, “URGENT”, “LOOSE” etc. In a subject line, which perhaps leads to a higher tendency to open.

Word and Metatag Suggestions
Metatags are some predefined lists of proper nouns or emojis or character combinations (like location, client name, hashtags etc. ) which generally occur in a subject line.
Example: “ABC launches a new store in Mumbai 
?
Metatags: Client, Location, Emoji
 Smartech has a list of metatags that impact inboxing & open rates. These are shown as suggestions to the marketer.


Criteria for enabling AIML based Subject Line Optimisation

  • ·         To Enable to SLO feature in the Smartech, there should be at least 400 Historic Email/APN/BPN Campaigns.
  • ·         These Campaigns need to be sent to minimum of 1000 users.


These requirements are necessary for the Smartech Machine Learning model to successfully predict the accurate Open Rate.