How do I calculate epc's from an offer?
- Thread starter guyseo
- Start date
Graybeard
Well-Known Member
you mean
ad spend/clicks = CPC
cost/yield(return)
How about creating algorithms for website or even for landing pages -- user affinity based on events?
You wont find that on these simple web interface stats ...
AdamLatiff
Member
It's good to know the formula, if you wanna automate calculating EPC and other campaign metrics you can use this handy tool http://adcalc.net
@Graybeard, thanks for clarifying, i totally understand now.
and by the way that's good too when you want to run an ads, you just target users with the same affinity, who have converted.
Graybeard
Well-Known Member
User affinity, as a metric, is gathered by the user events leading to a successful conversion.
The word affinity is synonymous to 'likes' so it is a gathering of the data of people (users/referrals) that convert in some way: subscribe or purchase would be two examples. It could also be: participate in a poll, register for a site., (etc -- the desired action).
The outcome of good customer affinity is a customer journey, as a proven dataset of actions, that results in your business objective. The opposite dataset -- demonstrated failure: e.g.; page falloff (page bounce), shopping cart abandonment, (other undesirable results) is the *anti-affinity* (to coin a term) or the "unlike" <<< what you need to fix.
The difference is gaining empirical data v. trial and error guesswork. You need a dataset of maybe 10K user sessions, as a statistically valid sample, on the same website/webpage to do this.
This is how you really understand A/B or multiple scenario testing.
The word affinity is synonymous to 'likes' so it is a gathering of the data of people (users/referrals) that convert in some way: subscribe or purchase would be two examples. It could also be: participate in a poll, register for a site., (etc -- the desired action).
The outcome of good customer affinity is a customer journey, as a proven dataset of actions, that results in your business objective. The opposite dataset -- demonstrated failure: e.g.; page falloff (page bounce), shopping cart abandonment, (other undesirable results) is the *anti-affinity* (to coin a term) or the "unlike" <<< what you need to fix.
The difference is gaining empirical data v. trial and error guesswork. You need a dataset of maybe 10K user sessions, as a statistically valid sample, on the same website/webpage to do this.
This is how you really understand A/B or multiple scenario testing.
Pretty much right ...EPC---Earnings per click
So If total Revenue = $300
And total No of clicks is 1000 then
EPC=$300/1000=$0.3/click
So If total Revenue = $300
And total No of clicks is 1000 then
EPC=$300/1000=$0.3/click
PurePay
Active Member
Can i ask who you are running with since they are not showing you your EPC in their backend?Hi guys,
I'm new to the Affiliate world so be gentle
How do I calculate epc's from an offer?
Good example can really help
Thanks a lot
But most people already answered this. EPC is not always the best to go from though, sometimes CR makes more sense
Naveh Jalen
Member
HI Friends
You can find out by calculating the EPC. To calculate the EPC, you simply divide the commission generated by the number of clicks. For example, if you receive a commission of $20 after sending 100 clicks (visitors) to the merchant… It's very important to know this figure.
You can find out by calculating the EPC. To calculate the EPC, you simply divide the commission generated by the number of clicks. For example, if you receive a commission of $20 after sending 100 clicks (visitors) to the merchant… It's very important to know this figure.
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