industries

Restaurants

Get a holistic view of the restaurant sector, capturing performance across online and in-store sales via direct and third-party aggregators.

Questions our data answers

Market Dynamics

Analyze sales and growth of any restaurant category (e.g., QSR), type (e.g., cuisine), merchant or item

Map “share of stomach” shifts across restaurants, grocery, and convenience stores

Customer Behavior

Segment your “core” customer personas and understand their value and behaviors

Identify ways to maximize spend, minimize churn, and optimize customer acquisition

Menu Optimization

Prioritize top menu items / features to develop and underperforming items to rationalize

Assess brand-level value contribution to maximize attach and upsell rates (e.g., for beverages)

Channel Effectiveness

Assess the value of key online and offline channels, including third-party aggregators and owned delivery

Quantify impacts of new store openings on other locations, competitors, etc.

Differentiated data coverage

Restaurant data isn’t one-size-fits-all. Move beyond basic “Give & Get” metrics to explore foodservice trends with depth and precision.

Full Coverage of Restaurant Types

Leverage item / SKU-level detail across all key restaurant types and cuisines

QSR

Casual dining

Fast casual

Fine dining

Pizza

Mexican

Chicken

Wings

Burgers

Sandwiches

Asian

and more…

Visibility into Key Channels

Track how you vs. your competitors are performing across all major third-party delivery and owned channels

Owned Online / Delivery

Owned Website

Owned Apps

Owned Delivery

3P Aggregators

DoorDash

Grubhub

Uber Eats

Postmates

Zomato

Example companies tracked

Our work with clients

Analysis

Overlaid third-party credit card transaction data with internal loyalty data to measure the uplift of spend and visit frequency for loyalty members by enrollment cohorts and uncover key behavioral differences in different participant groups

Results

Quantified ~$100M top-line impact and up to ~$5M in profit gains, allowing a data-driven decision to invest in the loyalty program

Additional case studies

view all case studies

Vet Co

Pyxis enabled an investment fund to identify and unlock new growth levers for their veterinary portfolio company—pinpointing market expansion, pricing, and loyalty opportunities through spend data.

Consumer Services

Supermarket Co

To combat share loss, Supermarket Co partnered with Pyxis to analyze regional share trends and shopper behavior, uncovering localized strategies to boost competitiveness.

Retail

Hair Co

An investment fund engaged Pyxis to evaluate Hair Co’s investment potential and growth opportunities by leveraging Amazon data.

Private Equity

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