Going from $257/day to $5k/day in 1 month while putting customers on sleep. How to reduce the wastage of ad spend: Dim Niko’s complete set of Revealbot Rules. $1k Google Ads experiment: Testing keyword match types for lead gen.

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FACEBOOK

How to live the dream and scale. Help people sleep better while raking in $5k/day

We bring you another case study for the weekend. But first, some stop-loss rules shared by Dimitri Nikolakakis.

Dim Niko’s Stop-loss rules

Do you really have to hustle 24/7 if you want to live the dream, or is there a better way? Maybe working smarter and using some automated tools is a more effective use of your time.

First up: Automatically managing your Facebook Ads with stop-loss rules.

Dimitri Nikolakakis to the rescue, bringing us the stop-loss rules he uses with Revealbot. This tool allows him to automatically pause campaigns when certain conditions are met, and his rules will give you enough slack for CBOs to gather enough data but without burning unnecessary cash.

So, here are the rules:

Budget:

  • The daily budget is 40x CPA if the campaign has over 10 ad sets.
  • 5x CPA if you have 5 ad sets.
  • In all other cases, the budget is $500/day.

For this example, the CPA is $50

  • Stop-loss – Ad set level: $200 spent with no sales -> turn off ad set.

Turn off the campaign

  • Turn off the campaign when spend is over $1000 and CPA is over $65.
  • Turn off the campaign when spend is over $1500 and CPA is over $55.
  • Turn off the campaign when spend is over $2000 and CPA is over $50.
  • Turn off campaign when spend is over $xy (Important when you have rules to scale or have a limited daily spend on specific days).

Safety campaign – turn on campaign when:

  • Today’s spend is >= $1000 and
  • CPA is < $49 and
  • CPA is > $1 and
  • Today spend is < $xy (top max daily spend) and time today is earlier than 10pm.

Campaign restart: Turn on the campaign at midnight when: yesterday spend is > $100.

These are the rules that Dim uses. However, these are not always static rules and can change depending on how the accounts behave.

Usually, he starts with no rules, giving Facebook space to do its thing. Then, once you have enough data, you can set rules.

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From $257/day to $5k/day in 1 month

Just another case study to end this week with some inspirational and actionable information.

It was shared by Anwar Jabirov, and it’s about an e-commerce store in the Sleep & Comfort accessories niche. The market targeted is USA and they have an AOV of $89. The website conversion rate is 2.6%.

Moving to the execution phase.

Testing phase

They started with 3 campaigns testing three different LLAs sizes:

  • 2% LLAs.
  • 2-5% LLAs.
  • 5-10% LLAs + Narrow to 1 Target Interest (Sleep).

Each campaign contained 12 ad sets with different audience seed for the LLA:

  • Purchase 7, 14, 30 days.
  • Checkouts Initiated 7, 14, 30 days.
  • Adds To Cart 7, 14, 30 days.
  • Viewed Content (refined by freq. ≥ 2) 7, 14, 30 days.

They excluded FB and IG engagers and website visitors from 180 days.

The campaigns had a conversion objective and ad set level budget (Not CBO).

Ad set level: Conversions optimized for AddToCart, bidding tpe was “lowest cost” and only placement targeted was Mobile Feed.

Creatives: 5 creatives per ad set: 15s video, 30s video, 1minute video, carousel, 1 image.

Scaling phase

Here, Anwar turned to CBO. For each campaign, he added only one ad set. This is due to the potential reach between ad sets being different, so the CBO would allocate most of the budget on the ad set targeting the largest audience.

At this stage, he launched three new campaigns:

  • CBO 2% LLAs –> 1 Adset (best performing 2% LLAs from testing phase) –> Top performing creatives (2-3).
  • CBO 2-5% LLAs –> 1 Adset (best performing 2-5% LLAs from testing phase) –> Top performing creatives (2-3).
  • CBO 5-10% LLAs –> 1 Adset (best performing 5-10% LLAs from testing phase) –> Top performing creatives (2-3).

Warm traffic campaigns

Here, they targeted the following audiences:

  • Page Engagers 30 days (exclude website visitors 180 days).
  • Viewed Content 30 days (exclude website visitors 180 days).
  • 95% Video Viewers 30 days (exclude website visitors 180 days).
  • Page Viewers (exclude content viewers).

More settings: Conversion objective optimized for Purchase. Ad set level budget, Lowest cost bid. Automatic placements, 1-day click optimization window.

Creatives: For users who already know the brand, they used User Generated Content ads such as video testimonials, text reviews and video starring influencers.

Hot traffic campaigns

Audiences targeted:

  • Cart Abandoners 7 days.
  • Cart Abandoners 8-21 days (exclude ATCs 7d audience).

Settings: Conversion objective optimized for Purchase. Ad set level budget, Lowest cost bid. Automatic placements, 1-day click optimization window.

Creatives: Here they went with a “complete your purchase angle” and discounts for the Cart Abandoners 8-21 days audience.

Finito! The post seems pretty like a pretty detailed case study, so hopefully it will help you scale!


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The WTAFF Crew wants you to get in touch! Why? Well, to run ads with us, of course!

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  • A traffic network
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You can check out a detailed breakdown of our reach, past results and pricing right here. Yep, we don’t see a reason to hide our prices for these ads.

What’s with the #sellout, you ask?

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We want to make sure that everyone reading this is aware we’re here to help put their products and services in front of 7.5k+ marketers. We think we’ve now proven ourselves as a great promo avenue, just check out all the case studies and previous sponsors here.

If you are interested or think this newsletter is a great way for one of your friends to promote their product share this media kit with them and tell them to get in touch!


GOOGLE

$1k ad experiment with keyword match types. Filters for Overview pages

If you are new to Google Ads and wondering which keyword match types you should use, here’s a basic experiment that could give you a bit of insight. Then, we have a quick look at a small update introduced to the Google Ads interface.

Keyword match type experiment

Keyword research and a good understanding of match types are the key elements of Search campaigns on Google Ads.

You won’t know what’s going to work for you unless you test them out and measure the results.

AdEspresso did a similar experiment, testing Exact match keywords and Broad match modifiers (BMM) to promote their “FB Ads Custom Audiences” eBook.

Objective: Generating leads for the eBook at the lowest Cost per lead (CPL).

Campaign Settings:

Network: Google Search Network.
Daily Budget: $48 with Standard ad delivery.
Countries: USA, UK, Canada, and Australia.
Language: English.
Duration: 22 days.
Total budget: $1k.
Bid strategy: Maximize clicks (Not sure what their thought process was here for a campaign with lead generation as objective.)

Keyword Selection: They did their research and came up with a list of similar looking keywords used in Exact match and BMM.

Results

BMM: 84 Leads at a CPL of $7.66
$643.20 Spent, 8.6k Impressions, 4.17% CTR, 410 clicks, $1.57 CPC.

Exact match: 60 Leads at CPA $6.11
$366.58 Spent, 3.1k impressions, 7.14% CTR, 224 clicks, $1.64 CPC.

Breaking it down by country, the US produced the majority of the conversions followed by the UK then Canada.

Key Takeaways:

  • It’s not really a choice to decide between keyword match types you should use. Instead, test them in combination and keep refining your campaigns.
  • BMMs can be useful to discover the exact search terms your audience is using, which you can then add to your keyword list in an Exact match type.
  • Analyze your search terms report for any inaccurate search terms and add them to your negative keywords.
  • Keep an eye on traffic and conversion costs and adjust your budgets accordingly.

Check out more details from the experiment here.

Introducing filters to overview pages

Google announced a small update to the Overview page of your Google Ad accounts.

The Overview page is the first thing you see upon logging in to your ad accounts, and being able to apply filters here allows you to see key insights at a glance without having to dive deeper into your accounts.

Here are the new filters you can apply to the Overview page:

  • Device.
  • Campaign.
  • Campaign type.
  • Campaign status.
  • Ad group.
  • Ad group status.

This feature is available now for all Google Ads accounts.


SEO

Bing adds more ways to verify websites

Bing has updated its Webmaster Tools to add a new way to verify site ownership using Domain Connect.

This method allows site owners to complete the site verification process without having to access the source code of the website.

At the moment, this verification method is only available to site owners whose domain is hosted with following DNS providers:

  • 1&1 Ionos
  • GoDaddy
  • Media Temple
  • Plesk

This integration will gradually be rolled out to other providers which support Domain Connect.

How does this work?

  • Sign into Bing Webmaster Tools account.
  • Enter the URL of your site into “Add a Site input” box and click Add.

Bing Webmaster Tools will then check to identify whether your site is hosted with a DNS provider that has integrated Domain Connect solution with Bing Webmaster Tools.

If your DNS provider is supported, you will be prompted to login to your DNS provider to complete the verification process.

With this integration, Bing now offers four verification methods:

  • XML file authentication.
  • Meta tag authentication
  • Add a CNAME record to DNS.
  • Domain Connect verification.

Check out the instructions on these methods from Bing’s help documents here.


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POOLSIDE CHAT

Cool tech, (funny) business, lifestyle and all the other things affiliates like to chat about while sipping cocktails by the pool.

How to really take advantage of Snapchat

We all know that Snpachat has pretty loose advertising policies. In fact, we’ve talked about plenty of affiliates leveraging Snapchat’s naivety in the past.

However, there are people doing much worse than promoting nutra products with celebrity endorsements.

This year, at least three people have been arrested for selling guns on Snapchat.

In two of the three cases, the men bought the “dangerous toys” in states with lax gun laws. They then headed over to a state with heavier restrictions and took to Snapchat to advertise the items with images and videos of the weapons.

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Obviously, Snapchat Ads Policy forbids these products, but the real problem is enforcing these rules. In other words, their system to catch this banned content just isn’t as effective as Facebook’s.

Maybe Evan Spiegel should ask Mark out for a coffee and ask for some pointers.

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