Google Ads Case Study 2026: Almost 2X Sales With Less A… — Transcript

Welcome everybody to this amazing Google Ads case study where we were able to multiply the sales of a client in a single specific month with similar or a little bit less spending on Google Ads.

So let's get started, before I start, let me introduce myself.

My name is Ali Raza and I'm owner of a Google partner company, my company name is AARSWEBS.com.

We are also known as Arts Web Solutions LLC, we are a UAE based company and we help clients with optimizing their digital sales, including on Google Ads, Meta Ads, SEO, Google Business Profile optimization, complete website designing solutions and a lot more.

So without wasting much of your time, let's get started to this amazing case study.

Okay, and before I roll over the case study and the details, I'm going to start with the project file, what we got at the start and then how we optimized it and how we were able to increase the sales.

So first of all, look around on this, they provided us with their four competitors, the target was Kenya and in Kenya the particular regions were Nairobi, Mombasa, Nakuru, I apologize if I'm not able to pronounce these cities correctly, it's Kiambu, Machakos and Admins.

The current spending as they stated was 2K dollars monthly average and the results were too much noise clicks, not expert optimized, they had a feeling that we can do better or they were losing somewhere.

So the USP was home gym equipment with other insights, they said that they need proper setup and monitoring with proper targeting for the three existing campaigns they were running.

Okay, so when we asked their USPs regarding what makes you different from other companies in the market, they said that we are one of the Kenya's one-stop store for commercial-grade fitness equipment, we supply durable gym-level machines for homes, gyms, apartments, hotels, and institutions with local stock, fast delivery, professional installation, and reliable after-sales support, unlike cheap consumer fitness products, Afrofit focuses on long-term value, heavy-use equipment, and serious buyers ready to invest in quality fitness solutions.

So we had a thorough look on all of their competitors.

We also looked on the impression share for the Google Ads campaign.

So we started with a few of the things.

First because they complained specific for the too much noise clicks.

So we installed a fraud click IP detector using Statcounter plus Microsoft Clarity.

Okay, why we did it because we wanted to see the clicks who were just landing on our website, was not doing a purchase or was not even spending the time, just landing and exiting.

And there were a lot of IPs who were in frequent.

Returning every day, were just clicking on our Google Ads.

Kind of wasting our money and then just exit.

So what we did, we by Statcounter, I'm going to show you.

This is one of the service of the Statcounter, I'm going to make it refresh.

Uh, just a second, I'm logging in and get back to you.

So I'm logged in over here, I'm going to show you over here the visitor activity path.

Why the visitor activity path is important because through visitor activity we were able to understand the IPs over here.

And sometimes if there is any pattern, unique pattern, we can specifically figure out and let know that this is an IP address which is causing the issue, so we can find it.

But we were not only using the Statcounter, but we are also using Clarity.

You can see around over here, the Clarity is helping us to see where the visitor is being landed, the average time spent over by the visitor, pages per session and a lot more data was being used every day through the Clarity.

This also helped us in figuring out people who did a product view, submit form, search, checkout, who did add to cart but not converted, outbound clicks, cart views.

You can see around over here, who the people who started the begin checkout, we can have an everyday data over here.

And that data was essential in optimizing our Google Ads campaign.

Now, moving back to the campaign side, I'm going to show you the few of the campaign sides as well and then how we were able to optimize it.

First I'm going to show you the campaigns over here.

So you may see around over here.

Okay, when we started, we had three campaigns over here.

All three were performance max campaign.

So we were using three PMax campaigns.

Okay, this was from the client as well.

The client provided us with three PMax campaigns as you may have seen over here as well that you may see around over here, the three existing campaigns they were running.

Okay, right now, we are just using one of it.

And we are also using the shopping campaign over here and we also using another PMax campaign over here.

So you can see around over here, now the three campaigns are different.

They are the ROS 170 with the name of 170, the shopping campaign and the sales performance max campaign.

Okay, let me show you the few of the data as well.

From the performance max campaign which is running right now very well, I'm going to show you the insights and then show you how we were able to optimize it.

Uh, for as regarding the shopping campaign, this was, you know, after gathering the data, the top 10 products, top 10 working products on our website were over here.

If you don't know, this is our website, uh, over here, you may see around over here, this is the website.

And once we started.

So once we started around, uh, we figured the top 10 sales of the location.

So we figured the top 10 products, top 10 cities.

Top hours and top locations.

That was, you know, the key in generating our own shopping campaign.

With the fraud click, we were able to determine the IP addresses, then the this campaign was created.

The older campaign was also being optimized based on the products which were not working.

You may see around over here, we tested multiple things right now, the treadmill, the multi-gym, the spin bikes.

To see if everything was, you know, working well, if any had issues, so we were just looking around.

And then, you know, we worked with a lot of negative keywords.

You may see around over here, our assets.

These are the assets.

And I can even, I will even show you the other combinations we which we used.

Just a second.

So you may see around over here, the other products.

The other assets included.

You may see around over this.

And if you move around in the product section, you may see around over where.

We had the data for all of the campaigns, getting the cost per conversion.

Which had a high one, we had to sort around these one.

We had to look, you know, which are working well for us, which are not working well for us.

So we, we had to get a data of all the month.

And apart from optimizing the campaign experience, which I'm going to tell you in detail.

We, what we did was, we also optimized our own landing page experience.

So let's start with them.

First of all, we added a welcome offer over here, so once you land on any of the product, you may see around over here, the 3% off.

This is a copy code over here.

Apart from this, you may see around over here, we also added this review over here, the five stars, you know, because the ratings, we feel actually increases the sales.

So we added that, we also added the word save amount, you are saving this amount.

So to realize someone how much they are saving.

And look around on this, the fast Kenya delivery, trusted quality, so adding these things plus a limited time offer, you know, convinces someone to buy it around with a timer.

So we felt that that timer independently increased our sales.

So if we ask what is the most important thing on the landing page which increases.

So are the small limited time offer has urged our sale.

Another thing, you know, which has increased is our upselling.

By adding other items combined, now this you may have seen this on Amazon, this is not something special.

This is not something unique or this is not something we invented.

But rather we optimized the user experience based on the competitor's data.

So, you may see around over here, this also helps in optimizing our sales around over here.

And then giving the flexibility to the user that they can order on WhatsApp as well.

So this also enhances the order for our business.

You can see around over here, the welcome offer is still over here.

So in case if you have crossed or clicked the or forgotten the pop-up offer, you know, you can still claim the offer by simply writing over here.

Our description was more into generic.

But you can see around over here, you can order on WhatsApp, why buy from us.

We added few things as well for the landing page.

You can see around another reviews over here.

So few of the reviews also helped in increasing more sales.

And now this is a common thing that people also may like to buy these products.

So these factors also enhances our sales and user experiences.

Apart from our campaign optimization.

Now I'm going to show you few of the things to inspire you and then I'm going to go back and tell to you that what factors which we did for optimization.

So I'm moving back to the all campaigns setup over here.

To show you the sales data.

And then I'm going to show you the earning data and then you can see how we were able to enhance the order and conversions.

So you can see around over here, we have so far got 55 conversions at $39.31 with the $2,170 spending.

If I compare this with the last month over here.

Now do not forget that it's 28th April and we still have two days left.

Just do a comparison with the last month.

Okay, last month we had $2,620 spending with $40 cost per conversion, we got 64 conversions.

See around over here.

This month the clicks are far less.

It means that we are not targeting on the products which we were doing before in the last month.

We focused on and we got the cost per conversion reduced to $39.

It's a slight deduction, but we focused more on upselling.

Like if people is coming to buy, they should buy other products as well.

For that optimization, look around, also, you may see around, we got 55 conversions.

If you look around on the last, 64 conversions.

Although the spending is less.

Last month we spent $2,620 to $2,620, here we have spent $2,170.

Now look around on the revenue.

I'm going to show you the revenue part.

Okay, so look around on the revenue with the last month.

From March 1 to March 31.

If I apply over here.

You may see around over here, we got in Kenyan currency, it's 1.15 million sales.

1.15 million with 92 orders.

Now, look at around the conversion rate, 0.27%.

Now in this month, which month is yet to be completed.

At the moment of creating this case study, it's 28th April.

Look around over here, we got 2.13 million sales.

Okay.

Allow it a while to get it loaded.

So I'm going to refresh so you can see it's all real.

Nothing to be fake.

See around over here, it's 2.13 million.

82 orders, 0.32% conversion.

So you can see around over here, 2.13 more in sales.

If I compare it with the last month.

I'm doing it again to show you.

It's 1.15 million, 92 orders, 0.27% conversion rate.

And when we move over here, you may see around over here.

We have 2.13 million conversion.

So it's more than 52% increase in the total sales.

Number of sessions have been reduced, the orders are similar, somewhat similar.

But the conversion rate from 0.27% has also increased to 0.32%.

So now I'm going to tell you few of the factors as well.

Again, it's a team effort, not an individual effort.

So all credits to the team who worked hard along with me to make it a successful project.

Few of the things I also like to show you over here, you know, which my team worked.

So my team also worked on speed optimization over here.

Sorry for this one.

Uh, yeah, you can see around over here, the speed optimization was also required.

And I believe that a second late is a second lost.

And I do not want my users to think something of else when they are going to open my or my client website.

So I want my speed to be very fast, essential speed optimization, I play, I think that it also plays a crucial role in generating more sales.

Apart from campaign optimization, so I think that also played another role over here.

And another thing over here, these are few of the data over here.

I'm going to show you over here, which we used, you know, to comparison for the client.

We were discussing regarding the campaigns over here.

So just sharing with you this data as well.

And we optimized the campaigns on the 130 basis.

You can see around over here, we look around for the data when we are on which days we are generating more sales.

The timings, the our cost per conversion when they were high, when they were reducing.

So we had to look around on all of the data.

We also combined for the ad assets to see what were working well, what were not working well.

We also looked on the change history campaigns to see the last changes which were done by.

You may see around over here, the one of my team member tried to keep on adding the negative keywords every day, every day, every day.

We were trying to add a lot of stuff over here.

The location report was also optimized to see where we were getting good sales, bad sales.

So you may see around over here.

And this was done for all of the three campaigns over here.

As I told you that these three mean were the campaigns been running.

We generated the all the data.

We had a lot of county discussions, internal discussion with the team as well.

Regarding on what to optimize, looking around the data on the competitors.

To see the products, see the locations.

Wherever possible, the optimization can be done were being done.

You may see around over here.

This was, you know, a lot of data was being gathered.

To see where we were generating or where we were wasting the money.

To see the products which were not generating well, the products need to add upselling.

Uh, need to do the comparison with the competitors to see.

You may see around over here.

This is a lot of reports over here.

And then I'm going to show you another, uh, you know, the team optimization guide with you guys.

To see around over here.

And this is a generic, you know, the data which I'm going to share with you.

Where which the campaigns optimized, budget discussions, multiple optimization, shopping campaign confirmed, performance max campaign, parallel test, high CPC was right now, 20,000 plus negative keywords are being added.

The ongoing running is running right now, clarity told you, analytics, conversion tracking.

Initial sales funnel was optimized, CRO was optimized.

Poor product pages were optimized, website improvement, technical improvement.

Uh, communication done and then, uh, we, uh, did all of the days.

What we were doing was daily spend versus revenue tracking, daily spend versus revenue tracking.

This was important to see if we are moving on to the same place to generate more order.

Are we going on the right place or not?

And then I'm going to show you another campaign over here.

Now, these are the campaigns, you know, which were later created.

You may see around over here.

I'm going to show you over here, the top 10 ad groups.

To see.

You may see around over here.

You can check around over here as well.

These are the products, you know, which were generating more better sales.

And if you move back over here.

See over here.

Here, we are just optimizing that data as well.

For those specific products, you may see around over here.

To see if we, if we can generate more sales.

Another PMax was also being created.

To optimize it over here, let me show you, uh, here as well.

See over here.

Here, uh, this is the data for the campaign.

And you may see, uh, it's, it's also in, uh, here.

Because recently created, so it's also in the process for optimization.

Getting more data.

And if you look around our ad schedules.

Negative keywords, we were, this, this is, you know, something we were adding every day.

Adding every day for what's not working well, what's working well for.

Every day was there is an optimization being done on the campaigns.

To make it a successful project.

Now, if you ask us on how we were able to make it.

52% increase.

From, uh, from 1.15 to 2.13.

Almost double the sales.

So it's like 80 to 90% increase in sales plus we still have two days left.

And decrease in spending.

That is the most important thing which I like to discuss over here.

Look around our spending.

Even our cost per conversion is high, which even will go further down as soon as we like we are optimizing and working on it.

You can see around the cost per conversion is also down.

The spending is also down.

And although the conversions are left, but because we optimized the landing page experience and even our targeting on the Google Ads, which ensured us that the right people are buying and they are buying much more order.

So the order value per sale has increased.

So average order buying amount has increased.

So that also helped us in optimizing and generating more sales through Google Ads.

So I hope you like this case study where I tried to discuss regarding few of the aspects on how my team was able to optimize the sales.

And this is one such case study.

We have a lot of clients working with us.

And if you want to work with us.

You are more than welcome to hire me and my team through the link in the description.

Again, it's a teamwork.

And you have to be patient.

You have to trust us.

We are going to trust you as well.

You have, we have to stand in the market as well.

It's not like something the, the company is going to win you.

So it's a collaborative effort along with the company, company owner, team and our team, a joint collaborative effort.

To make this a win-win to generate you more sales and order for your business.

And we want to make you successful.

Because if you are successful, then we will also be successful automatically.

And that is how we win a customer.

We are here to build relationship.

And we look forward working with the client.

So if you like our working, you are more than welcome to hire me and my team through the link in the description.

We are also known as AARSWEBS.com, a Google partner company.

Helping clients with Google Ads, Meta Ads, Google Business Profile optimization, SEO, complete web designing solutions, including on Shopify, WordPress and a lot more.

So you for more details, click on the link in the description to get started with us.

And I look forward working with you.

If you have any questions, you are more than welcome to write in the comments of this video.

I hope you like this case study where we were able to increase the order for like as much as up to 100% orders sales in increase.

Uh, without increase in the spending.

Thank you for watching.

Take care and bye bye.