With 20+ available data key-points available in most ESPs, how do you know
which ones to use to back your decisions?
With 20+ available data key-points available in most ESPs, how do you know which ones to use to back your decisions?
Our team of data experts identified the right metrics and started analyzing them.
We then calculated some custom KPIs that would help us see the whole story of data and rank which subject lines, content types, and day/time combinations worked best so far.
Based on the aforementioned KPIs, we ranked each subject line and found out
which ones worked best.
Based on the aforementioned KPIs, we ranked each subject line and found out which ones worked best.
We also identified 8 key subject line elements that consistently brought higher open rates, so we could start reusing them.
Subject lines would help us get more opens, but what about clicks and
engagement?
Subject lines would help us get more opens, but what about clicks and engagement?
The next step was identifying which type of email (visual HTML, plain text, or hybrid) and which content approach (value-based, promotion-based, or hybrid) brought the best engagement.
Which day brought in the most sales? Which time brought in the highest engage-
ment? Is there a combination of day/time/campaign type that brings the best
results?
Which day brought in the most sales? Which time brought in the highest engagement? Is there a combination of day/time/campaign type that brings the best results?
We started analysing our data and found surprising answers to these questions!
We started analysing our data and found surprising answers to these questions!
The visual aspect of an email is highly important.
Would a white background work better than a dark one? Should above-the-fold
be visual or text-based? Should we use GIFs or not? Which button color has
worked best so far?
Would a white background work better than a dark one? Should above-the-fold be visual or text-based? Should we use GIFs or not? Which button color has worked best so far?
The challenging part was over.
As a final step, we started implementing changes, backed by our data findings.