Ella and Jo are an Irish owned and operated skincare company. Founded in 2017 by two professionals who wanted to create a brand for people to feel empowered and great about themselves while taking care of their skin.
As Ella and Jo sell their product through a number of other retailers including Kilkenny and McCauleys Pharmacy, one challenge for Ella and Jo was to persuade customers to buy directly with them.
Ella and Jo are an Irish owned and operated skincare company. Founded in 2017 by two professionals who wanted to create a brand for people to feel empowered and great about themselves while taking care of their skin.
The products are all premium, with glass jars instead of plastic and wonderfully luxurious boxes for the bundles. They avoid discounting where possible as the products speak for themselves.
All products are vegan and cruelty-free. Made in Ireland, 100% recyclable. The products are vegan, breastfeeding-friendly, pregnancy-friendly and the brand puts an emphasis on giving each woman a moment of luxury in self-care despite a busy lifestyle.
Their mission is Creating innovative, results driven skincare, bringing luxury moments everyday, while delivering expertise through high energy, fun and engaging experiences.
Helping women feel better about themselves by creating exciting engaging product experiences that they look forward to everyday. All while having fun together.
They are a wholesaler and their product is available on multiple third party websites.
As Ella and Jo sell their product through a number of other retailers including Kilkenny and McCauleys Pharmacy one challenge for Ella and Jo was to persuade customers to buy directly with them.
The overall objective was to grow revenue by 130% in 2023 compared to 2022.
There were 4 sub objectives that were required to hit the overall objective while maintaining profitability:
We collaborated with Ella and Jo to identify their target audience and created a number of personas. The target customers for ella and jo cosmetics are women aged 25-54 who care about natural skincare products.
In order to achieve the revenue target of 130% growth we broke our strategy down into two key areas:
We collaborated with our Google Agency team and Ella and Jo to design a full funnel strategy. We were keen to use the latest campaign types within Google to capitalise on the advancements in Machine Learning and AI available in the Google Platform.
We imported first party data on their existing customers and developed a similar audience strategy. In addition to this we used the previous converters audience on Google Analytics and the persona’s we had created, to further refine our target audience.
In order to reach these new target customers we focused on 4 key campaigns types:
We implemented a first party data import from Shopify into Google Ads which fired a conversion every time a customer purchased for the first time. We used this to optimise for New Customer Acquisition
Growing Lifetime Value by capitalising on the expanded reach and growth in new customers was the next step in the strategy. The key tactics for driving repeat business included:
We collaborated with Ella and Jo to forecast targets & goals, budgets, KPIs. The forecasts were broken out by month and gave the client a clear roadmap towards achieving the 130% growth target. The target was broken out into traffic, conversion rate and average order value in addition to overall revenue and included channel targets.
To support the brand awareness and new customer acquisition strand of the strategy we collaborated with Ella and Jo on a number of campaigns including promotions, discounts and new product launches.
As their products are available on other E-commerce websites it was key to provide unique promotions and information directing potential customers to their website.
Our approach to new customer acquisition included a first phase of creating a goal to measure new customer acquisition directly from Google Ads. Once this goal was in place, we could give Google Ads that vital signal to optimise towards new customer acquisition leveraging machine learning and automation.
These creatives were then used on our key campaign types
In terms of ROI, we implemented the many Google Ads features around Value Based bid strategies and automation to maintain a strong ROI. We also used 1st Party Data to reconnect to previous email subscribers and website visitors through various campaigns for higher retention in our marketing funnel. A new customer acquisition focus also helped us take a more medium-long term view at growing revenue sustainably to reach our ambitious ROI & Revenue growth targets.
The client agreed to a 14% CPA model which allowed us to continue to grow spend in line with revenue increases. By applying a Target ROAS bid strategy on our conversion campaigns we optimised the campaign based on ROI and grew spend.
New customer acquisition was a key objective for the brand and we wanted to ensure that our campaigns were driving new customer acquisition in addition to driving overall revenue. By increasing the customer base the repeat purchases would also increase.
We developed an integration between Shopify and Google Ads that sent through a conversion every time a new customer made their first purchase. This allowed us to optimise our campaigns around new customer acquisition in addition to overall revenue and margin. By using the new customer conversion we could identify which campaigns were driving new customer acquisition and optimise accordingly.
Another innovation within this campaign was a commitment to using Machine Learning, AI and Automation across multiple stages of the campaign.
99% of all spend came from Ad formats that used Automation powered by Machine Learning including.
This allowed us to create multiple options for creative that were displayed differently and optimised depending on the user and the likelihood that the ad would help Ella and Jo achieve its objective. The Machine Learning algorithm was generating unique combinations of ad copy on the fly to optimise performance and to customise the ads been seen by different audiences.
All of our campaigns used Machine Learning to optimise Bidding with the exception of one of the Video Campaigns that was designed more for Views. The conversion campaigns such as Performance Max, Search and Brand used Target ROAS bid strategy that optimised based on ROI ensuring we were using Machine Learning to target customers who were most likely to convert and to help us achieve our ROI goals. Our upper funnel campaigns such as Discovery, Video, Search Awarness all used a Max Conversions bid strategy. While their primary goal was to achieve awareness all of these campaigns produced sales between Jan and June 2023.
Traditionally using Broad Match would lead to higher bounce rates and lower conversion rate and an increase in irrelevant phases. However by using signals from our audience strategy and also by using our Target ROAS bidding model Google’s Machine Learning Algorithm tested and learned in real time to expand the reach of the campaign with 3,600% increase in the number of phases generating clicks, while increasing conversion rate by 59%. This led to automation at scale with new keywords been tried and tested without manual intervention by the Paid Search Specialist.
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