We implemented separate strategies to suit each channel, ensuring campaigns were suited to each platform.
PAID SOCIAL STRATEGY:
- We used around 40% of the budget to focus on a prospecting campaign targeting lookalike visitors of people who recently purchased from BC4U
- The other 60% of the budget focused on various different remarketing campaigns
- A further key aspect of the BC4U social account is the number of different ad variants we are split testing, thanks to the wide array of creatives our client provided. As a result, we have been able to run with;
- GIF ads
- Single Image
- Dynamic Remarketing
- Instant experience ads
- Having such a wide variety has helped find the most effective variants that resonate with their audience and help improve performance
PAID SEARCH STRATEGY:
We needed to ensure that coverage was spread across a number of key products whilst allowing for an increased brand presence. As such:
- We sought to ensure greater visibility on both sizing related and slightly more generic ‘large clothing’ keywords.
- Noting both key competitors and brands we looked to target relevant, engaging copy to individuals searching for similar products and ranges
- Brand campaigns took on an increased role, looking to dominate search pages and ensure an increased awareness of the business.
- We implemented different audience targeting techniques, ensuring these were ran in tandem with custom website audiences.
- We also sought to re-engage site users with the introduction of dynamic search remarketing campaigns.
We sought to break campaigns out into three separate categories. These were split based on branded and generic terms and used search query filtering to ensure relevance.
- We ensured that campaigns ran in line with up to date product listings and that where necessary these were broken out by product type.
- Similar to search campaigns, we ensured that relevant affinity and custom audience targeting was added to shopping campaigns to ensure greater relevance.
- We applied product type attributes to feed and from here subdivided campaigns by top performers. This allowed for a more granular approach to optimisation.