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With our paid search offering, our expert team can help grow revenues, increase customer lifetime value and improve customer acquisition costs through targeted, smart paid search campaigns.
Our paid search team has comprehensive experience in profitably scaling search activity for some of the biggest brands in the world. Paid search was our paid media team's founding speciality and we continue to evolve our offering as the landscape develops.
Whilst every paid search campaign will be different based on the client’s requirements and objectives, we will always take a similar approach to how we work.
What is our approach to paid search?
Ecommerce specialists - all of our team have a strong understanding of the wider ecommerce industry. From considerations around the best campaign type to capture desired audiences, down to the experience they'll receive once landing on site.
Technical edge - we've worked with many of our clients to develop proprietary tools and scripts to overcome their bespoke issues. A few include; pausing and enabling keywords based on stock availability, and enabling and adjusting campaigns based on competitor activity.
Focus on results and growth - we are laser-focused on agreed KPIs and objectives and build bespoke updates and reports to complement these.
Range of campaign structures - we will tailor campaign builds to client needs, taking advantage of key campaign types such as remarketing, brand, display and more.
Balancing automation and manual optimisation - we combine automation and manual work to create a more considered, strategic approach to paid search.
Weekly calls and monthly overview - we will be in touch regularly to discuss broader strategy, inform you of the paid landscape overview, review creative performance and share updates.
Team with a wide range of skills, with consultants specialised in emerging channels such as Pinterest and TikTok.
Unbiased, impartial and fair team - we work with all partners and platforms and do not favour solutions based on commission or benefits
Experts in managing, implementing and supporting the initial setup of ecommerce shopping feeds.
Experts in attribution, building bespoke attribution reports with an honest and transparent approach to automation and attribution.
Hands-on experience with key ecommerce technology partners - Klaviyo, Ometria, Shopify, Magento, Glew, Klevu, Nosto etc.
Development of bespoke in-house proprietary tools and scripts to improve performance.
Supported a wide range of major paid media projects across the UK and US, including LUSH, PANGAIA, Muji, Joseph Joseph, Antler, CurrentBody, Scribbler and many more.
2022 Premier Google Partner.
Joseph Joseph is an innovative kitchenware and bathroom brand, based in London selling over 1,000 products in 100 countries around the world. In 2020, we began working on their paid search strategy, which needed considerable improvement due to the effects of the global pandemic on the retailer’s ecommerce strategy.Read our Case Study
Vervaunt Labs is our R&D offering, focused on building proprietary technology to add value to our services and help clients. Some of the key tools we’ve built include:
Census - rule-based post purchase questions app fro Shopify, primarily used for attribution, first party data capture and on-site feedback.
Visualise - dynamic creative based on improving image formats for DPAs and DABA, also allows for overlaying key information and attributes.
Inventory logging + alerts - Automated logging and alerting of inventory change, designed to reduce spend on items with broken stock and help attribute performance shifts.
Sale alerts - alerts on competitor sale activity, to help manage shifts in spend and again attribute performance change on channels like Google Shopping.
Creative reporting - detailed reporting on key metrics for individual Meta creative.
Performance monitoring - automated daily logging of client performance / load time shifts for key templates. Monitors key performance metrics and scores.
Benchmarks - internal client benchmarking across paid channels and Google Analytics. Data stored in our data warehouse and split out by vertical.