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Bare Necessities used Angler's predictive CAPI to optimize paid media spend on new customer acquisition only achieving impressive results. In addition, they are leveraging Angler's predictive audience and audience insights for CRM personalization and developing deep understanding about their customers and prospects.
Bare Necessities, a Delta Galil Brand, is on a mission to bare it all while loving the way you look and feel in their line of intimates. Bare Necessities believes that confidence starts with your first layer, so for the last 20 years, they have been supporting every curve of their customers’ lives. From intimates to shapewear to swimwear to pajamas, Bare Necessities prioritizes fit and comfort above all else, but also offers curated styles and colors to feel fashionable. Bare Necessities carries 140 brands, including their own label and is headquartered near New York City.
When Bare Necessities came to Angler AI they were facing challenges with their Meta campaigns that were re-marketing on steroids, but ineffective. Their marginal new customer acquisition cost (CAC) was rising, and there was poor signal quality from Meta’s built-in conversion API (CAPI).
Together with Angler AI, Bare Necessities first set out to decrease new CAC and increase first-order profitability. Their next objective was to improve and enrich their dataset with more customer insights and better segmentation. With this enriched data and predictive traits, Bare Necessities was better able to personalize their outreach efforts, ultimately leading to higher levels of customer retention.
Bare Necessities had a custom website when they started working with Angler. They implemented Angler's tag via Google Tag Manager and connected their backend data sources via Angler's data API. This allowed Bare Necessities first A/B tested Angler AI’s predictive CAPI with their home-grown CAPI. Once that test proved Angler’s predictive CAPI as the winner, they used it to optimize 100% of their paid spend.
Then, Bare Necessities migrated their e-commerce platform to Shopify, and re-tested Angler’s predictive CAPI against one of the advanced CAPI solutions (Elevar’s CAPI). Once again, Angler’s predictive CAPI was the winner, which was the result of optimizing new customers and high-value, mid-funnel events.
The parent company, Delta Galil, since then has rolled out Angler to all of their portfolio companies. In addition to the paid media use case, Delta Galil is also leveraging Angler's predictive audience and insights capabilities for customer segmentation and personalization via CRM.
Bare Necessities saw great success with these new optimizations.
The marketing algorithms are unchained beasts. Powerful, but also capable of running amuck. Angler helps train the algorithms by providing blinders to reduce noise, or providing bait to drive brand objectives.
Senior Vice President, Digital
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