Improving Restaurant Customer Value Using Digital Tools

Notes for your business from my day at Google. What Consumers Are Looking For When Visiting Your Google Business Profile Page When consumers search for dining options online, they are looking for more than just a quick answer. According to recent insights, a staggering 60% of queries have a navigational intent, meaning users want detailed, actionable information to guide their decision-making. To stand out and meet these expectations, your Google Business Profile needs to address specific consumer demands effectively. Here’s what users are actively seeking: • Wait Times: Up-to-date information on how long they might have to wait is crucial for users making spontaneous dining decisions. • Individual Dishes & Cuisines: People are searching for detailed menus and specific food offerings. Highlight your star dishes to appeal to this curiosity. • Ratings & Reviews (Snippets): Quick access to your reviews—especially those that mention standout features like service or food quality—helps consumers evaluate their options instantly. • Quality Metrics: This includes food taste, cleanliness, service (friendliness, speed, and efficiency). Transparency in this area can build trust. • Price & Deals: Value-conscious diners are eager to compare pricing and see deals that might tip their choice in your favor. • Parking & Location: Convenience factors such as nearby parking and exact locations play a major role, particularly for those unfamiliar with your area. • Hours of Operation: Outdated or incomplete operating hours can frustrate users. Keep this information current. • Ambience: Photos specific to your location showcasing the interior, outdoor seating, or unique décor can strongly influence perception. Interestingly, 40% of users take immediate action after finding the information they need, such as visiting the location or ordering for pickup. Meanwhile, 30% are looking for delivery options, underscoring the need for seamless integrations with delivery platforms. How Can Businesses Use This Data? To maximize engagement and drive foot traffic or online orders, restaurants and dining establishments should: • Regularly update their Google Business Profile to reflect accurate wait times, menus, and hours. • Respond promptly to reviews to demonstrate active customer engagement. • Use high-quality visuals to give potential customers a sense of your space and offerings. • Highlight promotions or exclusive deals in a way that catches users’ attention. Closing Thoughts: In a world where dining decisions are increasingly made online, providing comprehensive and precise information is no longer optional. By prioritizing user needs and delivering the insights they care about, you can turn searchers into diners. #google #googlerestaurantsummit #gbp #restaurantsuccess

Every hospitality brand I meet thinks they need more tech. They actually need less...but smarter 🧠 Been spending time with restaurant and hotel operators lately. The pattern is clear: They're not suffering from a lack of data. They're drowning in it. The real challenge isn't capturing first-party data. It's knowing which data matters for building lifetime guest value and efficiently connecting it. Here's what separates the winners from everyone else: They start with three simple questions: • What do we know about our guests today? • What should we know to serve them better tomorrow? • How do we connect those dots without adding complexity? The best operators are ruthless about integration priorities. They're not chasing every shiny new platform. They're building thoughtful tech stacks that turn moments into memories - and memories into loyalty. Take our recent work with hospitality brands at Klaviyo. The magic happens when you connect the right systems at the right touchpoints: -PMS data tells you when they stayed and what they spent. -Dining data shows their preferences and occasions. -Engagement data reveals what actually drives them back. Stack these insights together, and suddenly you're not just sending emails. You're creating experiences that feel personal because they are personal. One hotel partner told me: "We stopped thinking about systems and started thinking about stories. Every guest has one. Our job is to remember it." That shift, from data collection to relationship cultivation, changes everything 📈 The platforms charging you commission fees hope you never figure this out ‼️ But forward-thinking brands already have. Your guests aren't looking for another app or loyalty program. They're looking for you to know them. And with the right approach to first-party data, you can. Ready to turn your guest data into lasting relationships? Let's explore what's possible when technology serves hospitality, not the other way around. #hospitalitytech #restaurantmarketing #hoteltech #guestexperience #firstpartydata

What we once celebrated as 'data-driven' was really just data-curious. I recall an article we wrote in 2012 about how smaller restaurant chains could compete with industry giants through what we then deemed innovative digital loyalty programs. We called it a "Moneyball" approach—using scrappy tactics to punch above your weight class. Back then, we considered it a breakthrough to connect social media engagement with loyalty rewards. When a guest tweeted about their order, a restaurant could respond not just with thanks, but with action—loading a reward directly onto their loyalty card. The focus was on program enrollment and transaction-based rewards. Success meant getting guests signed up and coming back to earn their next free item. In reality, transactional loyalty programs were just the warm-up act for today's comprehensive guest data platforms. Here’s how: From program-centric to guest-centric ⬅️ Then: Focus on loyalty program members and their point balances ➡️ Now: Focus on all guests and their individual preferences, regardless of program status From reactive rewards to proactive personalization ⬅️ Then: Rewarding guests after they engage ➡️ Now: Anticipating and offering guests’ favorite orders, based on historical data and behavioral patterns From transaction tracking to experience orchestration ⬅️ Then: tracking purchases to award points and trigger rewards ➡️ Now: Using comprehensive guest data to personalize everything from menu recommendations to ordering experiences across all channels Here’s how our earlier example would play out today: 2012: Guest tweets about their order → restaurant responds with a free reward → guest returns to redeem 2025: Guest orders → System notes preference and ordering patterns → Next time they open the app, menu item is prominently featured alongside complementary items they're likely to enjoy → If they haven't ordered in their typical timeframe, they might receive a personalized message about a limited-time offer → The experience feels curated, not automated The best restaurant brands today aren't just running loyalty programs; they're building comprehensive guest data platforms that make every interaction feel like coming home to your favorite neighborhood spot. The "Moneyball" approach has evolved, but the underlying truth remains: the scrappy operators who use data will always have a competitive edge.

“What’s in it for me?” Fair question! While F&B and hospitality businesses have booked seats on the AI flight, attracted by a score of operational efficiencies, cost saving measures, and automation capabilities, there’s still a customer-led question that needs to be addressed: “What’s in it for the customers?” The answer is hyper-personalization. And no, this is not just another fancy bit of jargon to throw around. It’s going to have real-world benefits. For instance, an AI-based restaurant co-pilot will ensure that all the data that the customer is willing to share is actually translated into hyper-personalized experiences. Think about sharing details about one’s allergies, spice tolerances, food preferences, favourite cuisines, even as simple a question as: Still or Sparkling water? - and never being asked about it again. The restaurant remembers, and offers curated experiences based on your likes and dislikes. Not just that - AI makes it possible for restaurants to offer extremely personalized food recommendations for each guest at a table, develop new cuisines based on what repeat customers like, offer farm-to-table information on organically sourced food, and lean into their personal preferences - whether people like a menu in hand or like to scroll options on their phones. That’s right! Even the the finer details such as the presentation of the food, the hygiene, the speed of service, the entertainment activations, and the attention to detail from your previous surveys is actually taken into consideration and actioned seamlessly in a way that the incredible food you eat is not the only experience that turns into a beautiful memory. AI - in the form of restaurant co-pilots - will soon go beyond the “business elements” of sales forecasting, inventory, and packaging into the customer-focused aspects of recipe analysis, ingredient optimization, and menu enhancement for digital users among other tasks. Buckle up! It’s going to be a fun ride. #foodtech #ai #hyperpersonalization #future

Most restaurants are leaving at least $15,000 per month on the table. Every single month. Today, we’re fixing that. This is a step-by-step local SEO and AI Search Optimization guide built for restaurants in 2025. 1. Backlinks: The #1 Growth Lever Local backlinks drive rankings. If you want to move faster, buy trusted local-specific links. Best backlink distribution: 40% → Homepage (boost domain authority) 30% → Location pages (rank locally) 20% → Menu pages (drive orders) 10% → Blog content (support authority) 2. Google Business Profile (GBP): Fix This First Your GBP is the most important ranking factor for local SEO. Complete every section Upload high-quality photos (food, staff, interior) Post weekly updates (events, specials, new dishes) Respond to every review (positive and negative) 3. Local Keyword Strategy Skip expensive tools—use SEO Stuff (one-time $20 purchase). Best keyword formats: “[Cuisine] near me” “[Dish] in [City]” Neighborhood-based searches High-intent examples: Authentic Mexican food in San Diego Best sushi in West Hollywood Top-rated brunch in Brooklyn Vegan-friendly restaurants in Portland 4. Website Strategy: Optimize for Reservations & Orders Your site must convert visitors into customers. Must-have pages: Menu Page (with schema markup) Reservations Page (clear call to action) Location Pages (address, hours, phone, map) About Us (tell your story) Contact Page (Google Maps embed) 5. Local Link Building Backlinks from real local sources = higher rankings. Best local link strategies: Partner with food bloggers Get listed on TripAdvisor, Yelp, directories Sponsor community events Cross-promote with nearby businesses 6. Reviews = More Customers Google prioritizes restaurants with consistent, fresh reviews. How to get more reviews: Use table cards asking for Google reviews Send follow-up emails after reservations Respond within 24 hours to every review 7. Content Strategy: Blogs Work for Restaurants Well-written blogs boost authority and bring in organic traffic. High-performing content ideas: Top 10 Brunch Spots in [City] Best Happy Hours in [Neighborhood] How We Make Our [Dish] 8. Mobile-First Optimization Most restaurant searches happen on mobile. Fix these now: Fast loading speed (under 3 seconds) Tap-friendly buttons (reservations, orders) Mobile-friendly menu (never use a PDF) 9. Technical SEO: Schema Markup Required Local Business Schema (helps Google understand your restaurant) Menu Schema (so dishes show in search results) Review Schema (boosts visibility with rich snippets) If you don’t know how to implement schema markup, hire someone. It’s essential in 2025. 10. Geo-Targeting for Local Customers Google Ads (target by radius) Social Ads (promote specials & events) Optimize for “near me” searches 90-Day Execution Plan Month 1 → Optimize GBP, website fixes, schema, review system Month 2 → Content, local links, mobile optimization, technical SEO Month 3 → Geo-targeting, analytics, content scaling

The restaurant delivery industry is in the midst of a transformation. Third-party platforms like 𝗨𝗯𝗲𝗿𝗘𝗮𝘁𝘀, 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆.𝗰𝗼𝗺 are thriving, fueled by younger generations embracing its convenience of unlimited scrolling & options. While these platforms bring reach, they often dilute your brand identity and customer loyalty. We’ve seen this before and I have been preaching about this for years — just look at the hotel industry. 𝗕𝗼𝗼𝗸𝗶𝗻𝗴.𝗰𝗼𝗺 and 𝗘𝘅𝗽𝗲𝗱𝗶𝗮 once fully dominated, but leading hotel chains realized the importance of owning their customer relationships. They invested in robust e-commerce solutions and loyalty programs to regain control. And although the platforms remain strong, these chains have regained their relationships. The same opportunity now exists for restaurant delivery chains. By investing in your own platform, you can: • Strengthen brand loyalty through personalized rewards programs. • Enhance profitability by reducing dependency on third-party platforms. • Build deeper connections with your customers through direct engagement. At S4D, we’ve worked closely with partners across the industry to develop solutions tailored to these needs: a powerful, customizable e-commerce platform paired with a configurable loyalty system that drives repeat business. Restaurants that prioritize their own digital infrastructure aren’t just surviving—they’re thriving in a competitive landscape. The question is: 𝗪𝗶𝗹𝗹 𝘆𝗼𝘂 𝗼𝘄𝗻 𝘆𝗼𝘂𝗿 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗿 𝗹𝗲𝘁 𝘁𝗵𝗶𝗿𝗱-𝗽𝗮𝗿𝘁𝘆 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗼𝘄𝗻 𝗶𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂? In 2025, this will be a challenge we at S4D will continue to tackle with our partners - whether live or soon to be live. We are ready for it. 💪 Let’s shape the next chapter of restaurant delivery together. 🚀 #RestaurantInnovation #CustomerLoyalty #DigitalTransformation

How Samosa Party is Using AI to Scale 100+ Locations Had an insightful conversation with our portfolio founders Diksha Pande and Amit Nanwani from Samosa Party about their AI-first approach to restaurant operations. Here's how they're solving real problems across their 100+ locations: Customer Experience Revolution The Challenge: How do you track order-taking quality, stock-outs, and customer insights across dine-in locations? Their Solution: Storefox.ai uses ambient audio analysis at point-of-sale to automatically capture: Real-time stock-out alerts Customer product suggestions and feedback CX compliance (greetings, upselling, order accuracy) New product ideas directly from customer conversations Think about it: Every customer interaction becomes actionable data without any manual effort. Supply Chain Intelligence The Challenge: Forecasting and replenishment for 100 stores from multiple commissaries and warehouses. Their Solution: Crest AI platform generates automated indents considering: New store openings Seasonal patterns and holidays Product launches and promotional offers Historical demand patterns The game-changer? Full ERP integration means zero manual intervention for day-to-day operations. Operational Acceleration Beyond the core systems, AI is transforming their: Innovation cycles: Product development decisions that took weeks now happen in days Store design: AI-powered visualization for optimal layouts and workflows Marketing: Faster collateral creation and campaign development Training: Team members using AI for structured communication and training materials The Bigger Picture What impressed me most isn't just the tools—it's the systematic integration approach. Instead of isolated AI experiments, Samosa Party is weaving intelligence into every operational layer. Key Takeaways for Restaurant Tech: StoreFox-style ambient data capture can provide insights without disrupting workflows Crest-integrated ERP AI eliminates manual decision-making bottlenecks Democratizing AI tools across teams accelerates innovation at every level The restaurant industry often lags in tech adoption, but companies like Samosa Party are proving that strategic AI implementation can be a serious competitive advantage. What opportunities do you see for AI in traditional industries? Would love to hear your thoughts! #RestaurantTech #ArtificialIntelligence #SupplyChain #CustomerExperience #FoodTech #Innovation #Scaling #RetailTech Kalaari Capital

Since 2020, we've accepted third-party delivery as a necessity and as a new channel. But the numbers say differently: 📈 Mobile / First-Party App: +21.3% YoY 📈 In-Store Kiosks: +27% YoY 📉 Third-Party Delivery: -5.7% YoY Third-Party Delivery is not the entirety of the digital channel, and yet so many brands I see stop here. We should be thinking of a brand's entire digital existence, and how to manage it across multiple channels: in-store, delivery, catering, third-party platforms, and more. Never has this become more apparent, as the above data shows. And here’s what’s really driving the flip: generational behavior. Gen Z and Millennials are leading the move to owned channels. As digital natives, Gen Z is also value-driven in this economy. They know when fees are bloated, they know when data is being mined, and they prefer brands that offer direct rewards and personalization. Gen Z is far more excited about new digital food experiences and willing to adopt kiosk/mobile as their default ordering path. They want speed, control, and loyalty perks in one tap. Boomers, who historically are heavier third-party delivery users, are pulling back. Rising fees and inflation have them reconsidering whether convenience is worth the premium. They still expect a more traditional level of service and always expect value, preferring an in-store experience, and pick-up. The result? Third-party isn’t dead, but it’s becoming the “expensive splurge,” not the everyday habit. The everyday choice is shifting to direct digital channels that the operator controls. As an Advisor and Investor in this industry, here's my takeaway for restaurant leaders: 💡 Build for Gen Z loyalty now, because they’re already shaping the industry’s economics. 💡 Invest in owning your customer data and leveraging it across all channels, from loyalty to online ordering. 💡 Treat third-party as a funnel, not as a channel: focus on guest conversion to native platforms. The future of growth isn’t on someone else’s platform and with someone else's customers. It’s in owning your brand's entire ecosystem, inclusive of digital. I ask you: Do you think Third-Party Delivery is dying? Now ask yourself: When did you last use Third-Party Delivery? #digitalinnovation #digital #strategy #restaurants #restaurantmanagement #restaurantindustry #food