# PepsiCo Strategy ## Introduction PepsiCo is a global consumer packaged goods company with diverse beverage and snack brands (e.g., Pepsi, Lay’s, Doritos, Gatorade). In the 2010s the company faced slower growth in North America and rising competition from private labels and new niche brands. To sustain non-dilutive growth, PepsiCo invested in data-driven capabilities and new organizational units to identify and serve granular pockets of consumer demand. > Definition: Non-dilutive growth means increasing revenue without reducing profit margins; additional revenue must be as profitable as or more profitable than existing business. ## Strategy Components — broken down ### 1. Core sources of historical growth - **Brand variety**: 22 brands each produced over $1 billion in retail sales. - **Broad distribution**: Extensive placement across hundreds of thousands of retail locations and a massive direct-delivery fleet. - **Cost advantages**: Economies of scale from manufacturing and distribution kept costs low. - **Marketing and promotions**: Strong brand presence through campaigns and outreach. > Definition: SKU (stock keeping unit) — a unique identifier for each distinct product and service that can be purchased. ### 2. Market challenges that required strategy shifts - Growth slowdown in North America as key demographics aged. - Rapid rise of private-label products and niche brands using new ingredients (e.g., chickpeas, seaweed, kale). - Expanded retail channels and consumer demand fragmentation. ### 3. New strategic focus: granular demand capture - Goal: Use PepsiCo’s large portfolio and scale as an advantage to find many small, addressable pockets of demand that aggregate into meaningful growth. - Approach: Combine internal product and distribution strengths with advanced analytics and targeted shopper engagement. ## The PepsiCo Demand Accelerator (DX) ### Organization and roles DX was formed to centralize shopper-focused, data-driven activities. Initial units included: 1. **Shopper Marketing** — programs for national promotions and retailer-specific needs. 2. **Shopper Analytics & Insights** — observe shopper behavior and apply analytics. 3. **Category Leadership** — align internal and external stakeholders to build demand. 4. **Space Optimization & Transformation** — create store-level assortment and shelf-space recommendations. 5. **Media & Data** (added later) — enable personalized shopper communications. > Definition: Space optimization — the process of deciding which products and how much shelf space to allocate in a retail location to maximize sales and profit. ### Skills and behaviors emphasized - Patience, open-mindedness, cross-functional collaboration, and focus on serving the shopper and customer. ## Data and analytics capabilities - Required standardized, aggregated product data across divisions. - Needed richer, reliable shopper data, including unstructured external data (e.g., social media). - Built capabilities to process large, diverse datasets and run advanced analytics and AI models. > Definition: Unstructured data — data that does not have a pre-defined data model or is not organized in a predefined manner (e.g., social media posts, images). ## Tools and use cases ### PEPWORX℠ PEPWORX℠ is a PepsiCo-developed suite of data, tools, and processes to deliver granular recommendations to retailers about assortment, merchandising, and promotions. Benefits included: - Faster product turns - Better profit and net price realization (less need to discount) - Improved shopper satisfaction via tailored access to products Fun fact: PEPWORX℠ helped reduce unnecessary discounts by placing the right product in the right store, improving net price realization for retailers and PepsiCo. ### Brand Accelerator — Cheetos Asteroids relaunch (example) 1. Social listening identified consumer conversations and petitions for the discontinued product. 2. Overlay location-level social conversation data with shopper profi