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Binom Custom Columns - Sharing Is Caring (4)


05-26-2020 10:56 AM #1 twinaxe (Senior Moderator)
Binom Custom Columns - Sharing Is Caring

One of the features I love in Binom are the custom columns.

They can add some cool functionality to the tracker and can make reading stats easier.

You can add custom columns when you go to "Settings" -> "Stats"



Then you can use formulas to create custom columns for your stats.

I will start with my own custom columns.

When you also have some of them that you want to share just post them here

Name: Conversion Value

Formula: revenue/leads



Description:

When I run campaigns with different offers it shows the average conversion value.

Name: CPA

Formula: cost/leads



Description:

Shows how much a conversion costs me.

Name: Click CR

Formula: leads/lp_clicks*100



Description:

By default you see the conversion rate from incoming traffic to the offer in Binom.
With the "Click CR" custom column you can see the conversion rate from outgoing traffic from the lander to the offer.

Name: Real CPM

Formula: cost/clicks*1000



Description:

Shows the real CPM that I pay.
Of course it´s not 100% accurate because of trafficloss, the better you set the % trafficloss, the more accurate the value is.

Name: Possible CPM

Formula: revenue/clicks*1000



Description:

Shows the maximum possible CPM I can pay to don´t make losses.
Very good when you want to check placements for WL campaigns.


05-28-2020 04:04 AM #2 manchester (Member)

@twinaxe thanks for this share.

I've setup these custom columns in my Binom, started checking them for my camps over the last few days and some of them I've found useful straight away.


05-28-2020 02:36 PM #3 twinaxe (Senior Moderator)

Glad when it helped already.

Would be great when others would share their custom columns as well


12-20-2020 05:32 PM #4 twinaxe (Senior Moderator)

Name: Cost LP Click

Formula: cost/lp_clicks



Description:

Shows how much you pay per click from landing page to offer.

This can be interesting to show the different click costs between pops vs push for example.


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