Case Studies

The Client

Rotita is an e-commerce company based in the USA. They registered the business in late 2013. Rotita has started a new eCommerce store in a very competitive industry, tarps products.

We rebuilt the customer’s Google Ads account from the ground up, splitting it into meaningful campaigns that targeted specific demographics. We built Ad Groups within each campaign and created ads targeting audiences within each group. As a result, Ad engagement began increasing, which lowered the cost-per-click for the client’s Ads.

PHASE 1: Opportunity Assessment

● What is Rotita vs competitors?

● Where do the greatest opportunities for improvement exist?

● How do we retarget the audience?

Once we understood how much revenue Rotita could gain from PPC, we began our proprietary Performance Audit process to identify the best ways to optimise all their campaigns.

PHASE 2: Performance Audit & Gap Assessment

Next, we rated the Rotita website against an exhaustive set of performance factors in the following areas:

● Campaign Goal Setup

● Keywords Analysis

● Ads Position Analysis

● Negative Keywords Analysis

● Landing Page Optimization

● Ads Quality score optimisation

● Bidding method Analysis

● Remarketing

PHASE 3: Execution & Performance Measurement

We had started work on PPC

● Structure the Campaign Correctly

● Set Up Conversion Tracking

● Remove Keyword Rot

● Optimize Campaign Budgets

● Optimize Ad Copy

● Create Dynamic Ads

The Result

Within 4 months, we grew eCommerce revenue from Google ads a lot.

Google Ads Data (Aug 2021 – Aug 2021):

Note: In August, total sales were $158k, and the cost was $32.3k. Then we suggest increasing the budget in September because we found better opportunities for their e-commerce busines

Google Ads Data (Sep 1, 2021 – Sep 30, 2021):

Note: In September, total sales were $223k, and the cost was $36.9k.

Google Ads Data (OCT 1, 2021 – OCT 31, 2021):

Note: In October, total sales were $311k, and the cost was $64.2k.

Google Ads Data (Nov 1, 2021 – Nov 31, 2021):

Note: In November, total sales were $306k, and the cost was $70.5k.

Google Ads Data (Dec 1, 2021 – Dec 31, 2021):

Note: In December, total sales were $267k, and the cost was $58.6k. For holiday sales were a little bit fewer but if we compare with the previous month which is good.

Google Ads Data (Jan 1, 2022 – Jan 31, 2022):

Note: In January total, sales were $251k, and the cost was $30.5k. The sales were almost the same, and we have decreased the cost by almost $20K.

Google Ads Data (Feb 1, 2022 – Feb 28, 2022):

Note: In February, total sales were $188k, and the cost was $42k. The sales are a little bit slow because of the off-season.

Google Ads Data (Mar 1, 2022 – Mar 30, 2022):

Note: In march, total sales were $353k, and the cost was $66k. We start doing aggressive marketing.

Google Ads Data (Apr 1, 2022 – Apr 30, 2022):

Note: In April, total sales were $353k, and the cost was $66k. We started doing aggressive marketing, and the sales & cost went up.

Google Ads Data (May 1, 2022 – May 30, 2022):

Note: In May, total sales were $399k, and the cost was $74k. We started doing aggressive marketing, and the sales & costs went up.

Google Ads Data (June 1, 2022 – June 30, 2022):

Note: In June, total sales were $386k, and the cost was $58k. We did A, B,c & D tests and understood the business more by month by month.

Google Ads Data (July 1, 2022 – July 31, 2022):

Note: In July, total sales were $208k, and the cost was $41.3k.

Google Ads Data (August 1, 2022 – August 31, 2022):

Note: In August, total sales were $317k, and the cost was $49.7k.

Google Ads Data (September 1, 2022 – September 31, 2022):

Note: In September, total sales were $334k, and the cost was $51.7k.

Google Ads Data (October 1, 2022 – October 31, 2022):

Note: In October, total sales were $358k, and the cost was $65.3k.

Google Ads Data (November 1, 2022 – November 31, 2022):

Note: In November, total sales were $287k, and the cost was $52.2k.

Google Ads Data (December 1, 2022 – December 31, 2022):

Note: In December, total sales were $147k, and the cost was $34.2k.

Google Ads Data (January 1, 2022 – January 31, 2023):

Note: In January, total sales were $115k, and the cost was $27.6k.

Google Ads Data (February 1, 2022 – February 31, 2023):

Note: In February, total sales were $133k, and the cost was $28.6k.

The interesting part is we found a few non-performing ads from the beginning, and we optimized those and improved their quality score using different types of bidding strategies. You can see the result above.

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