So we’ve been working on autoresponders for v4.1 for a while, and are going to be launching it in a few days.
One of the things that concerned our engineers during the build out was, “How would customers judge the effectiveness of autoresponder campaigns?” How would reporting be different from regular campaigns, if at all?
So they’re introducing a new report just for autoresponder campaigns (they’ll probably do it for all campaigns someday too):
Here’s the idea.
Let’s say you setup a series of scheduled campaigns.
Like, “Top 10 banana recipes” for new customers. After someone signs up to your list, you want a recipe to go to them each month for 10 months.
You let it run for a little while, then you decide to tweak autoresponder #6′s design. After you tweak the design, you need to know if opens and clicks went up or down for that autoresponder.
So you look at the “Opens and clicks over time” report for autoresponder #6, and check out your open rates and click rates before and after your changes.
This would be great graphed a slightly different way.
I’d like to see a graph of Open Rate (% of sent) and CTR over time.
I was not able to find it…. where is it?
@Jeremy – I think it actually does use percentages. Big caveat our programmers just gave me though: this graph is *only* for autoresponder campaigns right now. They’re planning on making it available to all campaigns, but not yet.
I’ve re-written this post to reflect the fact that this was only for autoresponders, and not all other campaign types (yet).
@Tiago, this will go live next week, when v4.1 is live.
When marketing folks really dive into autoresponders, we will be setting multiple related schedules of mails. The valuable information for clients will follow the sales funnel.
Say we have a schedule of three mails that get sent to a new contact. The second and third mails will call the reader into some action. Now some folks may be pushing for a sale, though these days those don’t work as near as well as engagement.
The action we want is the reader to sign up for another schedule of mails that deliver information they are interested in (education).
One client sells wine and their first mails ask the reader to choose white or red. If they choose red, they automatically enter the red schedule which then sends a series of mail with red wine information… (there’s more to it of course).
Well the analytics we want show the movement of contacts between the schedules first and then drill into the effectiveness of different pieces.