Clicks and open rates as metrics: how accurate are they? | Community
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Charlotte_Lfg
Level 2
June 22, 2023
Solved

Clicks and open rates as metrics: how accurate are they?

  • June 22, 2023
  • 1 reply
  • 3566 views

Hi there, 

We'd like to use clicks and opens as a metric for scoring, but I'm not sure how reliable those metrics are. We activated the bot activity identification, but it looks like there are still some 'fake' clicks (i.e. people click before the mail is open) which I assume is the security testing the mail. I'm not sure that the open rates are by real people. 

How do you do to use those metrics? Or do you completely disregard them? 

 

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Best answer by Darshil_Shah1

This is a great question. So, as you're noticing, even with the bot filtered turned on, there's still always a possibility of bot activities creeping in. Marketo keeps monitoring for such false positives and updates its bot filtering algorithm periodically so it is accurately filtering bot activities. Having said that, over the years, I've seen users giving less priority to opens/clicks. I see some users still include those as a part of their scoring model, but, I haven't seen users fast-tracking a person to MQL or inflating their scores by leaps and bounds just based on a click/open, which is fairly reasonable IMO.

 

1 reply

Darshil_Shah1
Community Advisor and Adobe Champion
Darshil_Shah1Community Advisor and Adobe ChampionAccepted solution
Community Advisor and Adobe Champion
June 22, 2023

This is a great question. So, as you're noticing, even with the bot filtered turned on, there's still always a possibility of bot activities creeping in. Marketo keeps monitoring for such false positives and updates its bot filtering algorithm periodically so it is accurately filtering bot activities. Having said that, over the years, I've seen users giving less priority to opens/clicks. I see some users still include those as a part of their scoring model, but, I haven't seen users fast-tracking a person to MQL or inflating their scores by leaps and bounds just based on a click/open, which is fairly reasonable IMO.

 

Charlotte_Lfg
Level 2
June 23, 2023

Thanks Darshil for the reply!

What would you recommend for our scoring model then? We have a very limited amount of channels, so if we exclude those, there's not much left for scoring... 

Thanks, Charlotte
Darshil_Shah1
Community Advisor and Adobe Champion
Community Advisor and Adobe Champion
June 23, 2023

Apart from clicks and opens below are a few interactions that people use in their scoring model to give you an idea. These are just high-level items- an actual scoring model consists of many sub-divisions of the following based on the different types of events, offers, etc.

  1. Events - Register, Attend, Attend-On-Demand, etc.
  2. Access content offers Download (gated/non-gated)
  3. Fills out form
  4. Trial/Demo Requests
  5. Web visits on high-value web pages (for example- pricing, renewal, etc.)
  6. Viewed multiple web pages in a given time (say a day or two)

Additionally, I'd also recommend thinking around the lines of deducting points for in-activity or activities that signal a person may not be an ideal prospect, e.g., unsubscribe, visit the careers webpage, haven't reached a success step for any program for quite a while, etc.