ACQUIRE

Customer Acquisition Reimagined: Leveraging Personalized Offers to Attract and Engage New Customers
Navigate rising acquisition costs, integrate first-party data, and boost ROI with 1:1 personalized offers that engage high-potential customers while preserving brand equity.

Retail Challenges

Acquiring new customers in today’s competitive landscape is harder than ever. Rising acquisition costs, inefficiencies in targeting, and the limitations of traditional discounting approaches all present significant barriers. To stay ahead, retailers must leverage first-party data and adopt personalized, data-driven strategies to ensure every ad, offer, and customer interaction delivers meaningful results, while preserving brand equity and long-term profitability.

High and Rising Customer Acquisition Costs

Platforms like Meta and Google have become more expensive, making it harder for retailers to acquire customers profitably. Increased competition drives up bids, and privacy changes make targeting less efficient.

Lack of First-Party Data Integration

Digital and social advertising platforms lack access to a retailer’s first-party data, and thus fail to leverage deep customer insights to target ads effectively.

Inefficiency of Mass Discounting

Offering a one-size-fits-all discount in an ad leads to inefficiencies and low ROI, as both existing and new customers can take advantage of the discount. This approach further dilutes revenue and profitability, as retailers often apply these blanket discounts at the category, brand, or retailer level.

Lost Retargeting Opportunity

An ad can drive customers to make a purchase as a guest, causing retailers to miss the opportunity to collect first-party data. This turns the offer into a one-time transaction, preventing any chance of retargeting to foster long-term loyalty and repeat purchases.

Erosion of Brand Equity

Publicly offering discounts in ads erodes brand equity, especially for premium or aspirational brands. When discounts are broadcasted to a wide audience, it risks lowering the perceived value of the brand, making it seem more mass-market and less exclusive. This ultimately harms long-term brand strength, customer trust, and overall loyalty.
BeansOS at a Glance
Witness the powerful results BeansOS has delivered for leading retailers. By leveraging data-driven insights, BeansOS drives real, measurable impact in personalizing offers, refining product recommendations, and enhancing customer engagement.
+$4 Billion
2024 Client Web Sales

+300 Million

Personalized recommendations every week

150 ms

Average API response time

Customer Acquisition, Reimagined

How BeansOS Reimagines Customer Acquisition

BeansOS goes beyond traditional acquisition strategies by using deep customer insights and first-party data to identify and target potential high-value audiences with precision. 

Instead of relying on ads with mass and public discounts, new customers will receive personalized offers that align with the retailer’s specific customer acquisition goal for the ad.  These personalized offers will be continuously optimized based on how similar customers have responded to the same ad.

In doing so, BeansOS enables retailers to expand its customer base for retargeting, lowers acquisition costs, and strengthens brand equity and customer lifetime value.

The BeansOS Approach

Define the Business Objective

Identify a specific customer acquisition goal, such as converting price sensitive shoe buyers into belt buyers, to ensure personalized offers drive meaningful growth.
Step 1

Identify High-Potential Customers

Find existing customers who are most likely to respond to the acquisition goal by analyzing key behavioral insights such as Purchase Frequency, Willingness to Pay, Price Elasticities, Categories and Products Bought, Propensity to Buy, and Affinity. Based on these insights, establish an Audience with rules tailored to pinpoint the best customer targets for your customer acquisition goal
Step 2

Create Seed Audiences to Identify Lookalike Customers

Use the members of the Audience from Step 2 as seed groups in digital and social advertising platforms to identify lookalikes, ensuring that ads reach individuals with similar behaviors and preferences to your customers.
Step 3

Tailor Digital and Social Ads for Each Audience

Create digital and social ads for each Audience, with CTAs that highlight that they will unlock exclusive and personalized offers. Examples include:
o "Unlock a realm of bespoke benefits, crafted to elevate your unique experience"
o "Join us and uncover exclusive privileges curated just for you"
o "Step into a curated journey of exclusive and personalized privileges"
Step 4

Develop Personalized Offer Strategies for Each Audience-Ad Combination

For each Audience and corresponding ad, establish personalized offer strategies that resonate with their specific interests, thus ensuring the offers feel exclusive and relevant.
Step 5

Deliver Immediate, Personalized Offers Upon Sign-Up

When new customers sign up, they will be presented with personalized offers immediately. These offers will be optimized based on how similar customers have responded to the same ad, increasing the likelihood of conversion and engagement.
Step 6

Stronger in Unity

Acquire becomes even more impactful when combined with the other Growth Drivers enabled by BeansOS, all seamlessly integrated into one powerful operating system built for personalized recommendations.

Acquire the Right Customer, Effectively.

Expand your customer base with precision. Use hyper-targeted and personalized strategies to acquire new customers who are not just a match, but are an ideal fit for your brand and meet your specific customer acquisition goals.

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