Our SEO campaign started with competitor research and a keyword strategy with focused and relevant keyword research to improve and optimise  website’s technical SEO health. 

We improve the click-through rate (CTR) for users searching for product-specific keywords. We focused on writing onsite content for product pages and ensuring their optimisation. we also focused on the CTR from search.

Keyword based content marketing improved pages ranking. We also expanded and optimised product-level content to capture  product specific searches. We also created regular newsletters that pushed key products and sale items.

We differentiated social media campaigns for online sales from the ones used by the company’s physical store. A paid social media strategy focused on driving sales and brand building projecting company as an established and reliable retailer of well-known haircare products and electricals was developed and implemented. We built and tested targeted cold and mid-warm audiences to raise brand awareness, including Lookalikes, Behavioural, Interests and Social Engagers.

We implemented multi-campaign approach to target repurchase. We targeted warm audiences like website visitors and converters through dynamic remarketing techniques to recover cart abandons encouraging them to complete the sale.

A PPC campaign was used to promote company website across Google’s Search Network while using the Display and Discovery Networks to retarget previous website visitors to increase sales and CLTV (Customer Lifetime Value).  We targeted users across Google Shopping to capitalise on a virtual storefront experience.

Optimised product titles, descriptions and images effectively targeted B2B and B2C audiences at different stages of their purchasing journey. We efficiently scaled advertising across to Bing via Microsoft Ads to achieve strong ROAS (Return On Ad Spend).

We leveraged several Google’s automated tools to tailor specific campaigns to target  audience’s needs to reduce campaigns cost and further grow advertising returns.

Adopting automated bidding and dynamic campaign types allowed Google’s large audience insight database to predict consumer behaviour, automatically adapting bid levels and advert schedules to promote adverts more aggressively at peak times of the day.