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Vortex' 40-Day Tutorial 2019 (Voluum) - newbie choosing action over info overload (17)
09-24-2019 06:29 AM
#1
afkuni (Member)
Vortex' 40-Day Tutorial 2019 (Voluum) - newbie choosing action over info overload
First of all - huge thanks to @vortex for creating this amazing and comprehensive guide! I appreciate the effort you've put into this, huge thing.
Also many thanks to other members for creating follow-alongs. I'm new to the forum so only have seen those written by: @GregMorrison, @wakeboarder and @Jafar so far - very inspiring, and the reason why I decided to write my follow-along too. Maybe I'll manage to inspire someone one day too 
So I'm starting now - going to apply to affiliate networks, sign up for traffic networks, get the tracker and a domain.
09-26-2019 05:58 AM
#2
afkuni (Member)
Day 1: Applying to various networks
I applied to several networks:
- Mobidea - instant approval.
- Clickdealer - I had to answer several questions on Skype and over the phone, after which I was approved. The AM was very nice and helpful. Gave me multiple offer recommendations good for a newbie and for use in the Tutorial.
- Gotzha - no answer so far.
- Advidi - no answer so far.
- MaxBounty - approved after a short phone interview.
The main topics during the interviews:
- Previous experience - I had some with Pay-per-call and SEO. It's worth to create screenshots before applying, upload them to a service like imgur.com and have links ready. Everything that shows that you are doing something in the IM space is relevant and helpful. I think the worst is to not have anything to say.
- Reasons why you want to work with media buying and CPA, move from Pay-per-call to CPA - it's good to have something other than "to make more money" here. I talked about problems in the SEO, more control over the traffic in comparison to SEO's volatility, scaling potential.
- Campaign links from other networks - here I was lucky. Because Mobidea approves immediately I went ahead and set up a campaign in Voluum right away, just to get my feet wet asap. Then when this question came up during Clickdealer interview I had something to show. So applying to Mobidea first and preparing something there may be a good strategy. Even if you don't get such question during your interviews you can bring it up yourself - and that way show initiative and prove that you're already doing something.
Then I created accounts in traffic sources and made the initial deposits. No problems with both:
- PropellerAds - here I had to deposit minimum $100 and they take $4 service fee for using a payment card. Couldn't use PayPal for the first payment.
- PopAds - here I could use PayPal. The initial deposit minimum is just $10. And there was no service fee.
Then I signed up for Voluum, basic plan. There's no SSL for custom domain in this plan, but for now it's good enough for learning purposes and I can also use the dedicated domain with SSL.
I've bought a custom domain on Namecheap. Its setup was fast and simple both in Namecheap and in Voluum. It may be good to buy the domain and configure it in Namecheap first, even before starting to apply to the affiliate and traffic networks, so that it's ready when you get to the Voluum configuration stage - then you won't have to wait for DNS propagation.
09-30-2019 01:06 PM
#3
afkuni (Member)
Days 2-13: Picking offers; Configuring Voluum; Setting up first campaigns
I've spent some time familiarizing myself with the interfaces of the networks I was approved to. Chose some to run the initial direct linking from several GEOs. That way I could compare prices and available traffic between GEOs. Some were very surprising actually, so before starting with any GEO it's worth having a look at its CPM (besides the available traffic).
Choosing offers was hard. But my main goal though was to set up my initial campaigns ASAP, so I just picked some without agonizing too much, and I managed to get campaigns running. Got some conversions (ROI negative of course). The feeling of having some campaigns running and all data recording properly in Voluum (cost and conversions pretty accurate) was great and very motivating to continue.
In ClickDealer's interface of a given offer it's very easy to test the offer (enabling testing mode) and send a test conversion to verify that all is set up correctly (the little wrench icon below the screenshot). It would be cool to be able to delete this conversion after the test in Voluum but looks like it's not possible.
I've set up Voluum with custom domain - that was pretty straightforward with the instructions in the guide.
For traffic source I've used PropellerAds and PopAds. Although had to wait for a long time before PopAds campaigns were approved. Looks like PropellerAds is great for testing as campaigns there are approved within minutes.
09-30-2019 01:25 PM
#4
afkuni (Member)
Day 14-15: Landing Pages
As stated in the guide running campaigns without landing pages doesn't make much sense. Also my manager from ClickDealer immediately guessed that I don't use any LPs just looking at my stats. So I stopped all the initial campaigns and started looking into landing pages. Investigated the repository here on STM. Signed up for AdPlexity and learned to use the interface, particularly the seach modes. To be honest I expected to find more variety of LPs there, looks like there's a lot of repetitive stuff, but definitely enough to get inspiration. Looks like the best approach will be to collect/create English versions and outsource translating them to other languages, as suggested in the guide.
Day 16: Picking a Vertical and Applying to Offers
Looks like finding offers is my weakest point at the moment. To keep progressing with the guide I'm going to stick with Sweepstakes/Leadgen, SOI for now. My manager at ClickDealer gave me enough offers to get my feet wet with using landing pages.
I felt like I need more understanding of verticals and offer flows, and these 2 guides were very helpful for Pop and Sweepstakes:
Sweepstakes 101 Guide by @vortex
The ultimate guide about POP-traffic! by @mrbraun
(thank you guys, these guides are AWESOME!)
Also having a VPN is very helpful to be able to see the offer pages, which usually redirect to completly different offers when accessed from another GEO. For now I have ExpressVPN till I learn how to use Luminati...
09-30-2019 01:47 PM
#5
afkuni (Member)
Days 17-26: Downloading landers from AdPlexity; CDN; Fixing up landers & optimizing for speed
Downloading landers is easy, but choosing which one to download is more tricky. I sort by "last seen" and combine that with "days running" to figure out which may be the most tested or optimized version from all the available.
It's worth to download several identically looking anyway - some of them are hardly optimized, some are optimized to the point that there's just a single html file - everything is inside it - CSS, JS and images as "data:". Comparing versions also gives some inspiration on what can be done in the process of optimizing the lander. The Guide (+ additional links it provides) explain that in detail and some of these landers are practical examples.
Setting up CDN wasn't too hard, although the AWS interface is a bit annoying. But no major problems with the instructions in the guide and additional hints from @Jafar's follow-along (thanks!). I find using "aws" on command line most convenient for uploading/syncing the LP files.
Now I'm looking for landers, fixing them, optimizing. I think I'll use optimized and not optimized versions during campaign testing to see differences.
GTmetrix.com is great, but often claims to be overloaded and I need to wait quite a bit for the page to get tested. So I'm starting with just what's available in Firefox: Inspect element > Network. Then I upload the before and after versions and continue using GTmetrix.com. I realize that what I see in "Network" is just local, but gives a good clue on how many calls there are and what gets loaded.
I managed to get my first landing page optimized to the point that instead of 20 elements (before) it's just index.html (after) looking exactly the same and loading much faster (about 100% faster).
I also noticed that some landing pages include jquery library (which is a big file), while they don't use any jquery inside. Worth a quick test (disable it and reload the page) to find out if it's possible to eliminate it.
09-30-2019 03:44 PM
#6
gasmobi (Member)
We've got the highest payouts on the market for Sweepstakes/Leadgen, SOI. Hit me up, if you want to increase your ROI%.
https://affiliates.gasmobi.com/register
Ieva Gasmobi
Skype live:ieva.m_1
Telegram @ievamihelsone
09-30-2019 05:32 PM
#7
afkuni (Member)
Thank you, Ieva! I'll contact you on Skype.
09-30-2019 06:21 PM
#8
afkuni (Member)
I have my first bigger puzzle regarding reading test results. I tested 1 offer with 5 versions of landing pages.
For the first 4 hours the first one was a clear winner (up to 20 conversions in total). It had ROI -35% consistently during that time, while all the others had -70% to -90%.
I left the campaign running for the night and in the morning I was not sure about the winner any more... The diffence in ROI seemed not big enough.
Here's the screenshot from Voluum:

Now, if I look at the ROI:
Code:
1) survey 4q : -73% << best, but not a big difference
2) grey wheel + price : -78%
3) grey wheel - price + OPT : -79%
4) grey wheel - price : -80%
5) green wheel : -84%
So I tried calculating cost/conversion - gave the same order, but it's more clear that the first one could be the best:
Code:
1) survey 4q : 0.55 << best, with a more significant difference
2) grey wheel + price : 0.64
3) grey wheel - price + OPT : 0.66
4) grey wheel - price : 0.72
5) green wheel : 0.89
Then I tried
split-test calculator - using visits & conversions:
It gives "Apprx probability of being best":
Code:
1) survey 4q : 56% << best, with a significant difference
2) grey wheel + price : 11%
3) grey wheel - price + OPT : 26%
4) grey wheel - price : 7%
5) green wheel : (not enough space to calculate this)
Then I tried
Scary Math Calculator (Numerator == conversions; Denominator == impressions):
Code:
1) survey 4q : 0.0009-0.0018 << best
2) grey wheel + price : 0.0006-0.0015
3) grey wheel - price + OPT : 0.0006-0.0017
4) grey wheel - price : 0.0006-0.0014
5) green wheel : 0.0006-0.0011
I'm wondering if any of the other calculations matter if the ROI difference is so small?
If I wanted to create very different new landing pages to continue testing and leave just one of the above as the "control" - which number would be the best to use? Or is it not possible to tell and all of them should be retested with a set of additional new landers?
Any tip would be very appreciated.
09-30-2019 09:10 PM
#9
matuloo (Legendary Moderator)
Hello 
I'm wondering if any of the other calculations matter if the ROI difference is so small?
The numbers look quite poor, so it's really hard to talk about any winners here. But we gotta start somewhere, right?
I'm looking at the numbers and there are quite big differences in the number of visits per Lander, why is that?
If I wanted to create very different new landing pages to continue testing and leave just one of the above as the "control"
Yup, this is ok to do, I call these "benchmark" funnels or creatives or whatever (depending on what we are talking about). It's one way of optimizing a campaign, you run something, pick the best, then try to beat it's performance with a new set and over and over
As I mentioned above, the numbers are not that hot, so something is off. The problem is, you don't know yet what it is. It could be the offer, the LPs, wrong angle or maybe you bought BOT traffic. Depending on where the problem is, the required action would be different. For example, if the problem are bots, you can test 100 offers and none of them will work. On the other hand, if the offer is bad, you can send good traffic to it and you still won't reach profits.
At this point, I'd recommend to dive deeper into the data and look for patterns. Check the data by placement, are there any that drain the budget and don't convert? That could signal a few bot placements are messing up the campaigns. Is the performance very poor across all placements? That could signal a poor offer or a poor set of creatives/LPs. Do you see some placements working well with certain LPs? You might want to focus on these, create a whitelist and continue with that ... there are several options, look at the data and try to figure out whether you see any clear patterns or trends in.
10-01-2019 12:37 AM
#10
Jafar (Member)

Originally Posted by
afkuni
Setting up CDN wasn't too hard, although the AWS interface is a bit annoying. But no major problems with the instructions in the guide and additional hints from @
Jafar's follow-along (thanks!). I find using "aws" on command line most convenient for uploading/syncing the LP files.
Glad I could help out a little!
10-01-2019 12:45 PM
#11
afkuni (Member)

Originally Posted by
matuloo
I'm looking at the numbers and there are quite big differences in the number of visits per Lander, why is that? [...]
Thank you for the reply!
I think I now see how I messed the data... Because I didn't find a campaign to test against I wanted to test more things than just landing pages, and I tested too much at the same time in a chaotic manner...
So first, following some example from YouTube, I created multiple campaigns for multiple traffic sources + LOW/MEDIUM/HIGH bids in each traffic source. Then seeing some green placements I created a separate whitelisted campaign. Then another campaign with an additional landing page. And finally I mixed all that data to get one conclusion...
Now when I segment the report I see that the results would be more consistent if I did all step by step. Eg: tested on 1 traffic source only, with 1 bid. Then chose the winner. Then created more landers and tested again with 1 traffic source and 1 bid. I need more patience and systematic, step by step approach.
On this screenshot the results are more consistent:
"LP1A Survey" wins clearly in LOW and MEDIUM bid. And HIGH bid was probably simply a bad idea to use at the initial testing.
10-01-2019 12:51 PM
#12
afkuni (Member)
And the other traffic source - PopCash - shows a lot of suspicious visits and clicks, high cost and hardly any conversions. So surely influenced the final (mixed) results a lot:

10-02-2019 04:33 PM
#13
afkuni (Member)
Although in this post:
https://stmforum.com/forum/showthrea...of-Pop-Traffic
it's recommended to test multiple bids from the start:
"DO test multiple bids from the start. 3-5 camps at staggered bids to see which one give the best ROI."
Not sure if it's the same what I did here though?...
10-02-2019 09:03 PM
#14
matuloo (Legendary Moderator)
So first, following some example from YouTube, I created multiple campaigns for multiple traffic sources + LOW/MEDIUM/HIGH bids in each traffic source. Then seeing some green placements I created a separate whitelisted campaign. Then another campaign with an additional landing page. And finally I mixed all that data to get one conclusion...
When testing multiple things like traffic sources, bids, GEO etc ... you need to create separate campaigns for each, thats the only way to be able to read the data properly. But looking at your screens, looks like you did that, am I right?
But do not try to "mix" all this data together somehow and make conclusions based on that. Each funnel is a specific beats, different bids deliver different traffic even more so when a WL is involved. Always read the data "per campaign".
Although in this post:
https://stmforum.com/forum/showthrea...of-Pop-Traffic
it's recommended to test multiple bids from the start:
"DO test multiple bids from the start. 3-5 camps at staggered bids to see which one give the best ROI."
Not sure if it's the same what I did here though?...
In case you create separate campaigns for different bids, its ok to do... run some volume, then see at the data to see what bid level gives you the best results and go on with that one. Just a note, when testing staggered bids, all the other parts of the campaign have to remain the same.
10-03-2019 03:50 PM
#15
afkuni (Member)
Thank you!
Yes, I created separate campaigns. But then tried to determine the best landing page based on data from all the campaigns.
So the main takeaway is to analyze the data separately per campaign.
Now, looking at the screenshot PropellerAds LOW/MEDIUM/HIGH bids - https://i.imgur.com/e92YTjY.jpg - what would be the best way to proceed? Which campaign is the best one - would that be HIGH campaign with LP2A because it has 9 conversions, and also the lowest cost/conversion (0.24 vs 0.30 LOW and 0.32 MEDIUM for the best ROIs respectively)? And try variations of this landing page with different copy, etc?
Or with such bad ROIs should I:
1) create new LOW/MEDIUM/HIGH campaigns
2) eliminate LP2A landing page which was the worst in each campaign
3) add several new, different landing pages
and run the test again?
10-06-2019 05:12 PM
#16
afkuni (Member)
I took some time to read the remaining lessons. It was very helpful and answered many doubts and questions I've gathered in my initial campaigns. Definitely worth reading for me before running next campaigns, as I now see how many newbie mistakes I made in just a few days of running campaigns... 
I now believe it was a mistake to run multiple campaigns in parallel the last time as my conversions were diluted between camps. And then drawing any conclusions from digging into variables was hard. Each camp had just a handful of conversions from different traffic sources and bids. Next time I'll stick to one traffic source and focus on testing first and foremost, not "optimizing". Once I find (through testing) a promising combination of lander/offer I'll start optimizing. And only if I get at least close to green I'll use other traffic sources (i.e.: scale).
I also applied to a few more networks and am now accepted to five which gives me enough offers to choose from.
And I practiced fixing and optimizing landers too, which was taking a lot of time. Started writing some code that automatically replaces all images in the html file with base64 data. Hope it will be worth sharing here once I improve it, for now it's just a quick prototype, but managed to replace all images without spoiling the lander.
10-06-2019 06:54 PM
#17
matuloo (Legendary Moderator)

Originally Posted by
afkuni
Thank you!
Yes, I created separate campaigns. But then tried to determine the best landing page based on data from all the campaigns.
So the main takeaway is to analyze the data separately per campaign.
Now, looking at the screenshot PropellerAds LOW/MEDIUM/HIGH bids -
https://i.imgur.com/e92YTjY.jpg - what would be the best way to proceed? Which campaign is the best one - would that be HIGH campaign with LP2A because it has 9 conversions, and also the lowest cost/conversion (0.24 vs 0.30 LOW and 0.32 MEDIUM for the best ROIs respectively)? And try variations of this landing page with different copy, etc?
Or with such bad ROIs should I:
1) create new LOW/MEDIUM/HIGH campaigns
2) eliminate LP2A landing page which was the worst in each campaign
3) add several new, different landing pages
and run the test again?
From what I see in the screens, I'd focus on the "high" option. The amount of clicks is comparable with all the variations (LOW has the most but also the highest amount of suspicious clicks), LP ctrs looks pretty much the same too and ROI was the best in case of HIGH. So there is no reason to run several bids at once. I'd drop the worst LP too and look deeper at the data to see if there are any placements to block.
Next step would be to test more copy/layout variations to see if you can improve the numbers further.
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