Analyse and optimize a email subject line
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 for a campaign, by suggestively guiding him/her select the best possible subject line by:
Predicting the estimated open rate for any given subject line
We use Machine Learning based supervised algorithms to estimate the expected open rate of a campaign mail, 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 provide a higher open rate.
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
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.
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
CEE has a list of metatags that impact inboxing & open rates. These are shown as suggestions to the marketer.
To Enable to SLO feature in the CEE, there should be at least 400 Historic Email Campaigns.
These Campaigns need to be sent to minimum of 1000 users.
These requirements are necessary for the CEE Machine Learning model to successfully predict the accurate Open Rate.
To enable this feature
Please contact [email protected]
Updated 3 months ago