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Brandon Warshaw at InStore.ai
Professional Summary
Brandon Warshaw is currently Head of Growth & Strategy at InStore.ai with over 15 years of experience in insights, analytics, and strategic leadership across consumer goods, technology, and consulting sectors. His career progression includes senior director roles at PepsiCo where he led global insights and analytics for major snack brands like Lays, Doritos, and Cheetos, followed by SVP/VP positions at Harmonya focusing on customer success and partnerships. Warshaw's core expertise spans market research, consumer insights, business intelligence, quantitative analytics, and marketing strategy, with demonstrated success in accelerating business intelligence agendas and maximizing ROI on data investments for Fortune 500 companies. He has successfully transitioned from traditional FMCG and pharmaceutical analytics roles to technology-focused growth and strategy positions, while maintaining active mentorship roles with emerging food & beverage brands and professional development organizations.
LinkedIn Presence
Brandon Warshaw's LinkedIn presence demonstrates a distinctive blend of professional enthusiasm and authentic relationship-building that positions him as both a thought leader and accessible industry advocate. Warshaw consistently amplifies his company's achievements while maintaining a genuinely supportive tone, frequently using phrases like "we are thrilled"and "amazing partners"that reflect his collaborative leadership style rather than self-promotional messaging. His content pattern reveals a strategic mix of resharing InStore.ai company posts with personal commentary, industry event participation, and customer success celebrations, creating a professional brand centered on partnership and shared success. What makes Warshaw's voice particularly effective is his ability to translate complex AI and voice analytics concepts into accessible business value propositions, often emphasizing practical outcomes like "the power of listening in stores and taking action is real"while maintaining genuine excitement about retail innovation that resonates with his network of industry professionals.
Education and Miscellaneous
Brandon Warshaw holds a J.D. cum laude from Case Western Reserve University School of Law, where he served as Chief Justice of the Honor Court and earned Dean's Honor List recognition for four consecutive semesters, and a B.A. in Political Economy from Tulane University. He has completed notable continuing education programs including studies at the University of Cambridge's Institute for the Study of Economics and Policy and Dartmouth's Tuck School of Business Bridge Program in Managerial Economics and Marketing. Additionally, Warshaw has earned multiple professional certifications in data analytics and marketing from Snowflake, Databricks, HubSpot Academy, and Northwestern University's Kellogg School, while also serving as a Partner in Tulane University's Remote Industry Program and as a member of Echoing Green's Social Investment Council.
InStore.ai
Company Summary
InStore.ai is a technology company specializing in AI-driven retail analytics that analyzes recorded conversations at points of sale within retail environments. InStore.ai targets retail businesses struggling to understand and improve in-person customer and employee experiences, addressing the challenge of obtaining timely feedback from store-level interactions that impact service quality and operational efficiency. InStore.ai's platform leverages advanced artificial intelligence to transform verbal and behavioral data from POS conversations into real-time actionable insights for improving customer service, employee engagement, and store execution effectiveness. InStore.ai differentiates itself by providing immediate, data-driven analytics that enable proactive decision-making around staff training and customer service protocols, rather than relying on traditional reactive feedback methods. InStore.ai recently secured $5 million in seed funding and has been actively publishing thought leadership content, demonstrating strong investor confidence and positioning the company for growth in the retail analytics space.
Tech Stack
InStore.ai appears to operate on both WordPress and Webflow platforms, suggesting they may be transitioning between systems or using different platforms for various site functions. Their GTM stack centers around Salesforce with Web-to-Lead functionality, indicating a more enterprise-focused sales approach appropriate for targeting retail decision-makers who typically require longer sales cycles. The presence of Facebook Pixel, Facebook Custom Audiences, and Leadfeeder suggests a multi-channel acquisition strategy that combines social retargeting with visitor identification, likely aimed at reaching both retail executives and operations managers across different touchpoints. Their integration of Intercom for customer communication, combined with comprehensive analytics through Google Analytics 4 and Google Tag Manager, indicates a sophisticated approach to nurturing enterprise prospects through their evaluation process. For a seed-funded AI company targeting enterprise retail clients, this represents a well-rounded GTM infrastructure that balances lead generation, qualification, and enterprise sales management.
Target Personas
InStore.ai's primary ICPs are Operations Directors and Regional Managers at convenience store chains, QSR establishments, and luxury retail brands who oversee multiple locations and seek to improve store execution, as evidenced by their fuel & convenience store focus and platform features targeting multi-site retail operations. Store Performance Leaders and Customer Experience Directors at mid to large retail chains represent another key persona, particularly those responsible for maintaining service standards and employee training across locations. The third core persona includes Loss Prevention and Risk Management Leaders at retail enterprises who leverage the platform's AI-powered conversation analytics to identify security concerns and improve de-escalation procedures.
This research took our AI 5 minutes.
Imagine AI doing tailored research on hundreds of prospects simultaneously on your behalf.
Most Current Outreach Strategies Have 3 Major Flaws
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Manual research is hard to scale
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How It Works
Mix equal parts GTM, AI, data, and automation and swirl it around.
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Stand out from competitors using generic templates
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Demonstrate expertise specific to prospects' business
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We launch LinkedIn outreach
Get noticed in crowded inboxes with visual previews
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Know which prospects are most interested before they respond
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What You'll Get
An end-to-end service from strategy to reporting.
Strategy & Setup
ICP identification workshop - so you target prospects who actually convert, not just anyone with a pulse
Messaging strategy session - so your outreach resonates with real pain points, not generic value props
AI & enrichment strategy - so your prompts generate consistent, high-quality insights every time without manual tweaking
Webflow template creation - so every page matches your brand perfectly without redesigning from scratch
Execution & Delivery
Hundreds of personalized pages included - so you can treat your entire high-value prospect list with a personal touch
AI research & content generation - so every prospect feels individually understood, not part of a mass campaign
LinkedIn outreach campaign launch - so leads start flowing immediately without training your team on new tools
Design collaboration (work with your team or ours) - so you maintain brand consistency without bottlenecking your designers
Analytics & Handoff
Real-time visit notifications - so you know exactly when to follow up while you're top of mind
Session replay recordings - so you understand what messaging resonates most with your best prospects
30-day analytics reporting - so you can prove ROI and optimize future campaigns with data
Qualified leads handed to your sales team - so your closers focus on closing, not qualifying cold traffic
