Digital Shelf Analytics

Festive season is around the corner, and the most challenging times for ecommerce brands as well. The battle to win on the digital shelf and ultimately the conversion is real.  It’s that time of the year when traffic is peaking on ecommerce platforms because of festive sales like Big Billion Days, Great Indian Festival, etc. The consumer intent is high and willing to spend during this time  According to a RedSeer report, festive season sales accounted for $9.2 billion in revenue in 2021 alone. Moreover, according to a report by KPMG India, the festive season generates up to 30-40% of annual retail sales. But with this surge in opportunity comes a sharp rise in complexity – more competition, fluctuating prices, last-minute stockouts, unpredictable consumer behavior, and an overwhelming amount of data scattered across platforms.   However, amid the chaos of flash sales, ad campaigns, and instant demands, brands can’t afford to rely on guesswork or delayed reporting.  And here’s the harsh truth: every missed keyword, every out-of-stock product, every ranking position lost gives an edge to your competitor who is doing all the above.   That’s why leveraging a real-time ecommerce analytics solution isn’t just helpful; it’s essential. To win sales, and more customers during this festive season, brands must operate with complete clarity on what’s working, what’s not, and what needs immediate action. Because in a market where every second counts, only those who can see and act faster will own the digital shelf.   In this article, we will talk about the challenges ecommerce brands face during mega sale campaigns/festive season sales and what ecommerce brands should focus on during peak times.  Challenges Ecommerce Brands Face During Festive Season Sales It’s easy to be caught up in dashboards, creatives, and campaign calendars. But if you zoom in, there are deeper challenges that affect outcomes throughout the process, and many ecommerce teams miss them until it’s too late.   1. Limited Visibility into SKU Performance Even the best-selling products can lose sales if they’re not consistently available or properly listed across platforms. During the high traffic periods – availability is opportunity. If your shoppers are exploring and don’t find your product on the digital shelf, they will move to the next best option. And for you, it’s just a lost opportunity. While being present is important, it is also essential to do a continuous scan to avoid out-of-stock situations and not appearing for the competitive keywords.    These blind spots are often only caught when it’s too late. Without real-time visibility into SKU-level performance insights, brands risk losing high-intent buyers in the most critical hours.   2. Inconsistent Product Details on Various Platforms You’ve invested in driving traffic, but if your product page has low-resolution images, outdated specs, or a missing description, it directly impacts consumer behavior, their decision making and kills conversion.   The complexity of this challenge is that ecommerce platforms often display different versions of your product content, especially when multiple sellers are involved. This inconsistency across PDPs not only looks unprofessional but can also lead to poor SEO rankings and reduced shelf visibility, costing you valuable clicks.  3. Price Undercutting and Discount Violations Everyone wants to be the cheapest during a sale, and sometimes resellers/competitors take that a little too far. Unauthorized discounting or MAP violations often go unchecked during peak periods.   While this might spike short-term sales for violators, it damages your brand’s perceived value, confuses customers, and disrupts your pricing strategy and even campaigns running for particular products.   4. Delayed Response to Competitor Actions During the festive season you might also see a lot of new competitors emerging with aggressive pricing plays, and flash campaigns. And if your team isn’t tracking these shifts of pricing in real time, your brand risks falling behind.   Knowing who’s gaining visibility, what keywords they’re winning on, and how they’re bundling or discounting helps you respond quickly and protect your share of shelf and avoid loss of revenue.   5. Disconnected Media and Shelf Performance  Running ad campaigns and making sure they are working in your favor are two different things. Many ecommerce teams measure clicks and impressions but fail to link them to what matters: improved product rank, better keyword positioning, and higher conversions.  If your ad budget isn’t moving the needle on your shelf presence, it’s time to question where and how you’re spending. Media and shelf performance must be aligned for your campaigns to deliver real ROI.   6. Struggling to Stay Discoverable in Crowded Search Results Discoverability is the first touchpoint to even be considered. However, with hundreds of brands competing for the same keywords, simply being listed on a platform doesn’t guarantee visibility. Festive sales demand aggressive yet mindful keyword bidding, and organic placements become harder to maintain.   If your product isn’t ranking on the first few scrolls, you’re invisible to most shoppers. And the worst part is you might be bidding on the wrong keywords or missing out on search trends altogether.    7. Poor Product Availability During Peak Times It’s frustrating when your campaigns are performing well, but the product isn’t available in key regions or goes out of stock right in the middle of a peak day. Stock availability across SKUs, platforms, and cities can make or break festive performance.   Consumers don’t wait; they simply move to the next best option. Without proactive availability tracking and alerts, brands risk losing sales not because of strategy, but because of a lack of visibility into inventory gaps.  Here’s How Leveraging Ecommerce Analytics Solution Helps You Take Back Control To thrive during high demand periods like festive season sales ecommerce brands need more than dashboards, they need real-time, platform-specific, SKU-level intelligence that turns complexity into clarity, and data into actionable insights.  This is exactly where our ecommerce intelligence solution – mScanIt helps. It is an AI powered analytics tool that empowers ecommerce, media, and content teams with real-time, granular, and actionable insights, so you can make smarter decisions, faster.  Here’s how mScanIt helps you overcome the festive season chaos and

E-commerce businesses nowadays invest heavily in running campaigns across marketplaces, optimizing the Buy Box, bidding on ads, and managing digital shelf visibility.  In 2024, digital media accounted for the largest portion of advertising spend in India’s e-commerce sector, capturing 65% of the total marketing budget. Despite aggressive campaigns and increased media spending, many brands face an invisible threat of performance leakage.  What most ecommerce brands don’t realize is that leakage in campaign performance isn’t always loud or obvious. It creeps in silently, through wasted impressions on out-of-stock products, bids on underperforming keywords driven by default platform recommendations, or campaigns that run blindly without reacting to negative reviews or stock status. These aren’t just minor issues; they’re silent killers of your ROAS.  The question is – what’s missing from your e-commerce marketing strategy?  It’s the lack of competitive ecommerce analytics.   In today’s dynamic digital advertising environment, what you need isn’t just campaign management tools. You need a system that connects your ads, inventory, product performance, customer feedback, platform behavior, and ecommerce analytics – all in one place, and helps you make decisions in real time.   With the right ecommerce intelligence solution and unified ad manager (UAM) tool integrated into your stack, you don’t just fix leaks; you turn your campaigns into precision-led growth machines.  Let’s discuss what the major red flags are affecting your performance and how ecommerce analytics help.  What Is Performance Leakage in eCommerce?  Performance leakage refers to the loss of marketing effectiveness and budget due to unseen gaps in campaign execution, keyword strategy, platform strategy, and data visibility. From irrelevant keyword bidding to out-of-stock promotions and poor sentiment targeting, every small oversight can turn into significant revenue loss.  Brands that rely solely on platform-level insights or manual management often fail to notice these gaps in time. And by the time results start reflecting, the damage is already done.  5 Red Flags That Signal Performance Leakage in Your E-commerce Campaigns  Before you can fix what’s broken, you need to recognize where the cracks are. Here are five often-ignored red flags that you can’t ignore:  Flawed Campaign Creation Creating ad campaigns without aligning product-level data, platform-specific behavior, and budget insights leads to wasted efforts. When campaigns are not tailored for the nuances of each marketplace or lack keyword intelligence, they fail to gain visibility or traction.  Brands often reuse one-size-fits-all campaign structures across platforms, without accounting for product rankings, historical performance, or platform algorithms. This results in ineffective spends and missed opportunities.  Poor Optimization and Reporting Gaps Many businesses still rely on manual monitoring or basic dashboards, offering limited visibility into what’s really happening at the SKU or keyword level. Reporting is delayed. Optimization is reactive. Campaigns lack the agility to adjust bids, keywords, timing, or targeting in real time.  Worse, teams often depend solely on the platforms’ auto-recommendations, which can lead to over-spending on underperforming segments.  Weak Keyword & Discoverability Strategy Without understanding which keywords your customers use, which ones your competitors are winning on, or how your products rank across them, campaign performance inevitably suffers.  Running ads on low-impact or irrelevant keywords not only hurts ROAS but also results in poor visibility on category pages and low share of shelf.  Availability and Out-of-Stock Oversights Many businesses unknowingly run a high-budget ad campaign for a product that’s out of stock or unavailable in the buy box. Unfortunately, this is a common mistake.  Inventory fluctuations aren’t always reflected in real-time campaign management, causing ads to run on products that users cannot purchase, directly resulting in decreased customer satisfaction and leading to revenue loss.  Ignoring Customer Sentiment and Poor Customer Reviews Promoting a product that has recently received a string of bad reviews is another red flag to lose customer trust. If your campaign engine doesn’t account for customer reviews, sentiment, and you don’t respond to those on time, you may end up amplifying negative perception instead of building loyalty.  This affects both brand equity and click-to-conversion ratios, especially on marketplaces where customer feedback is highly visible.  Why Manual Campaign Monitoring Methods Don’t Work Anymore In a dynamic, multi-platform eCommerce landscape, manual campaign creation on separate platforms, monitoring, and optimization are no longer sustainable.  Platforms like Amazon, Flipkart, Big Basket, and others all operate differently, with separate bidding structures, algorithms, and audience behaviors.  Bid adjustments, keyword refinements, and budget pacing require round-the-clock attention.  Holiday sales, out-of-stock updates, or a viral competitor product can change everything in a few hours.  Manual processes simply can’t keep up with this level of complexity. To truly scale performance and eliminate inefficiencies, AI-powered automation and unified intelligence are no longer a luxury but a necessity. What Future-Ready Ecommerce Marketing Campaigns Look Like A performance-first ecommerce campaign strategy is: Platform-Agnostic yet Deeply Customizable – Campaigns are created and managed from a single interface but tailored for each platform’s needs. Data-Enriched and Keyword-Smart – Keyword bidding decisions are driven by granular keyword insights, share of shelf, rankings, and competitive benchmarking.  Inventory-Aware and Sentiment-Sensitive – Ads can be paused on all platforms using one interface if a product goes out of stock or gets flagged with poor reviews.  AI-Optimized in Real Time – Bid pacing, budget allocation, and campaign optimization can be done dynamically, without waiting for major issues to happen.  Tools like mScantIt by mFilterIt are built exactly for this kind of intelligent campaign management. It provides actionable digital shelf analytics and ecommerce analytics for prompt decision-making. It offers a unified ad manager and bid optimization tool that helps streamline e-commerce advertising by unifying campaign creation, monitoring, and bid optimization on one platform.  How mFilterIt’s Unified Ad Manager Helps Drive Real Results Our e-commerce intelligence solution – mScanIt- is a performance-driven tool that brings together e-commerce analytics, real-time automation, and AI-led optimization under one unified dashboard. Here’s how it helps you drive smarter performance at every stage: Campaign Creation Launch campaigns across Amazon, Flipkart, and other marketplaces from a single interface  Use product, budget, keyword, and platform data to optimize campaigns  Set up channel-specific targeting using real-time shelf and discoverability insights  Campaign

The clock is ticking, and the Amazon Prime Day sale is around the corner. It is not just another two-day sales event – it’s a make-or-break moment for ecommerce brands.   Prime Day sales peaked in 2024, as 24,196 orders were placed by Prime members in a single minute. SMBs also saw a significant boost with a 30% rise in sales compared to the previous year. Amazon’s Prime Day presents e-commerce brands with a unique chance to drive significant sales each year. An opportunity to create brand awareness, gain visibility, an opportunity to convert high-intent, ready-to-spend shoppers, and gain long-term customers.  But success for e-commerce brands on Prime Day doesn’t come easily. The one major factor that often serves as a primary factor in winning the sale is the Amazon Buy Box. Owning the Buy Box is the only gateway to higher conversions, trust, and revenue.  Because if your product isn’t the one featured in the Buy Box, chances are, it’s not the one being purchased.  So, how do you ensure your product wins on the Amazon buy box?   Let’s find out.  In this blog, we’ll explain the Buy Box and why it becomes even more critical during Prime Day. We’ll also discuss the biggest challenges brands face and how, with the right pricing intelligence, inventory planning, and e-commerce optimization solution, you can overcome them. The Amazon Buy Box Explained and Why It’s Essential for Your E-commerce Strategy The Amazon Buy Box is more than just a placement; it’s the CTA – a box where customers can directly “Add to Cart” or click “Buy Now” to make swift purchases. While it may seem like a simple feature, the Buy Box holds immense power in determining which seller secures the sale when multiple vendors offer the same product.  Here’s how it works:  When multiple sellers list the same product (same ASIN), Amazon doesn’t show all those listings upfront. Instead, it features one default seller – the one that wins the Buy Box. All other sellers are tucked away under the “Other Sellers” section, which most buyers don’t even check. That means the seller who wins the Buy Box gets a share of shelf space and sales.  Research indicates that more than 80% of Amazon purchases are made through the Buy Box, an even higher percentage on mobile devices, where screen space is more limited. If you’re not in the Buy Box, you’re not in the buyer’s line of sight, and your chances of making a sale drop dramatically. Why Does Amazon Buy Box Exist? The Amazon Buy Box is designed to streamline the shopping experience by surfacing the most trustworthy, competitively positioned offer for a given product. With thousands of third-party sellers on the platform, the Buy Box helps maintain consistency, speed, and buyer confidence.  Amazon’s algorithm considers the following factors to decide who gets the Buy Box: Price competitiveness. Shipping speed and method (FBA, FBM). Inventory availability. Seller rating and order defect rate. Listing content quality and compliance. Winning the Buy Box is not about being the cheapest; it’s about being the most reliable and optimized seller in Amazon’s eyes.  Winning the Amazon Buy Box Means: Your listing is automatically added to shoppers’ carts by default. You get higher click-through rates and better visibility on both desktop and mobile. Your product becomes eligible for Amazon ad placements like sponsored products. You have a stronger advantage during high-traffic events like Prime Day, Black Friday, or seasonal sales. But here’s the catch: the Buy Box can shift throughout the day. If a competitor updates pricing, restocks inventory, or improves delivery timelines, even temporarily, they can replace you in the Buy Box within minutes. This is where real-time monitoring and e-commerce intelligence solutions become essential. Key Challenges E-commerce Brands Face in Winning the Buy Box Winning and retaining the Buy Box is a dynamic, ongoing challenge. Especially during high-pressure sales events like Prime Day, ecommerce brands must overcome several interconnected obstacles:  1. Unstable Pricing and Lack of Real-Time Optimization Amazon’s algorithm is highly sensitive to pricing. If your competitor drops their price by even a small margin and you don’t respond quickly, you can lose the Buy Box within minutes. On the other hand, constantly undercutting pricing can also erode your profit margins. Without real-time pricing analysis and automation, most brands can’t compete at the required pace.  2. Inventory Gaps and Stock Planning Failures Stock availability is important. If your inventory runs out, even temporarily, you lose your spot. Many brands overestimate or underestimate demand, leading to either out-of-stock or excessive holding costs. During Prime Day, where sales velocity is unpredictable, poor inventory planning can be disastrous.  3. Unoptimized or Inconsistent Product Listings Even if you offer the best price and have the stock, poor product content can disqualify you from the Buy Box. Listings that lack good quality images, proper descriptions, keyword relevance, or violate platform rules lower your chances of being the default seller. Moreover, inconsistent listings across marketplaces dilute your brand integrity and confuse customers.  4. Siloed Data and Delayed Decision-Making Pricing, inventory, content, and sales data often come from different systems. When these silos don’t communicate together in real-time, your ability to make timely decisions suffers. By the time your team reacts to a pricing change or stock issue, the Buy Box has already been lost to a faster competitor.  Strategic Framework to Win the Amazon Buy Box on Prime Day Securing the Amazon Buy Box, particularly during high-stakes events like Prime Day, requires more than just price cuts or aggressive ad spend. It demands a strategic, data-driven approach that seamlessly integrates real-time pricing intelligence, inventory planning, listing optimization, and cross-functional visibility.  Here’s a breakdown of the key pillars brands must focus on to consistently win the Buy Box:  1. Leverage Proactive Pricing Intelligence Solution to Stay Competitively Positioned  Pricing in Amazon’s algorithm-driven ecosystem is not static; it’s dynamic, volatile, and highly influential in Buy Box decisions. Brands that rely on periodic manual checks or delayed price

Most brands are still pricing based on instinct, internal costs, or outdated competitor scans. And it’s costing them, sometimes without them knowing. A 5 percent gap in your average selling price compared to the market can quietly bleed revenue week after week. Miss a category-wide discounting trend by even a few days, and you’re left reacting while others are gaining share.  Winning on price today isn’t about dropping rates. It’s about knowing exactly where you stand—by SKU, by platform, by geography—and acting before competitors force your hand. Without that visibility, pricing becomes reactive, inconsistent, and risky.  This article breaks down what marketers miss without doing an in-depth pricing analysis and how to fix it with real-time data.  The Hidden Risks of Operating with Pricing Blind Spots Here are the risks that arise when you don’t have full visibility into their pricing environment and competitors’ moves: 1. Limited Visibility into Average Selling Prices (ASPs) Without tracking ASPs across marketplaces, brands risk flying blind. A price that seems competitive internally can be completely off when placed next to real-time market dynamics.  Take this example. Your brand launches a product at $50, feeling confident in its positioning. However, the ASP for similar products across key platforms has quietly dropped to $42. Without that visibility, your brand unknowingly overpriced itself, losing both traffic and conversions. Pricing too low can hurt just as much, eroding margins without gaining meaningful volume. 2. Discounting Trends That Quietly Erode Margins Competitor discounts don’t always show up in obvious ways. Flash sales, time-limited offers, and bundle pricing often fly under the radar, but their impact adds up. If you’re only tracking list prices, you’re missing the real picture.  Say a competitor has been quietly running 10% discounts every weekend. On paper, their list price matches yours. But their actual selling price is lower, and you’re unknowingly losing share—or worse, matching that price later and cutting into your own margins just to keep up. 3. Missed Opportunities in Competitive Categories High-growth categories move fast. If you’re not actively watching how competitors price within them, you risk losing share without even realizing it. Electronics, seasonal products, trending gadgets—these are the battlegrounds where pricing decisions directly shape who wins the sale.  Picture this. A competitor drops prices on wireless earbuds just as demand spikes. Their volume surges. Your product sits at the same price, losing visibility, conversions, and momentum. By the time you react, the wave has already passed. 4. Non-Compliance with MAP (Minimum Advertised Price) Guidelines MAP violations usually don’t scream for attention. They slip in quietly. And if you’re not actively monitoring them, the damage creeps in just as quietly—until retail partners start picking up the phone.  Think about it. An unauthorized seller lists your product below MAP on Amazon. Most buyers won’t question it. They just assume that’s the new normal. Your retail partners? They see it too—and they’re not happy about being undercut while playing by the rules.  It’s not just a pricing issue, it’s a trust issue.  Building a Data-Driven Pricing Strategy Here’s what a modern, proactive pricing strategy should include: 1. Benchmarking Using Real-Time ASP and Discount Data Imagine this. Your flagship product sits at $120. Competitors? They are all clustering around $105. You notice it only after weeks of slower sales and rising cart abandonment rates.  At that point, it is not just about lowering prices. It is about regaining lost ground.  This is where real-time benchmarking changes the game. Tracking ASPs and discounting trends live—not after a quarter closes—helps brands stay responsive, not reactive. If you are serious about staying competitive, set up monthly reviews where your prices and discount patterns are directly compared against your top 5 category rivals. No guesswork, just clear gaps you can act on.  Without this discipline, even the best pricing strategies fall behind market movements that happen faster than internal processes can catch up. 2. Comparing Pricing Against Industry and Category Averages You are confident in your pricing—until the numbers tell a different story.  In the fashion category, your dresses are priced 20% higher than the industry average, while your footwear is underpriced compared to competitors. Neither situation is ideal. One segment risks losing volume due to sticker shock, the other leaves margin on the table.  Category-level pricing analytics show patterns that product-level thinking often misses. They reveal whether your brand’s pricing feels premium, fair, or inconsistent to shoppers browsing multiple options at once.  Smart brands tackle this by setting up category-specific dashboards. These dashboards track where your pricing stands against both the industry and direct competitors, allowing you to course-correct without guessing. It is not about matching everyone else—it is about knowing when you should stand out and when you should realign.  Without this layer of visibility, your pricing strategy is flying blind at the category level 3. Monitoring MAP Compliance Using OEM Codes You can’t fix what you don’t see—and MAP violations are a classic example.  Most brands only catch them when a retailer complains or when brand value takes a hit. By then, damage is already done. That’s why tracking MAP compliance with OEM codes or unique identifiers isn’t just useful, it’s non-negotiable.  Let’s say a SKU slips below MAP on a niche marketplace. With OEM-coded tracking, the violation is flagged immediately. No manual checks. No delays. You now have the leverage to take it down or reach out before your other retail partners even notice.  This level of automation only works when MAP monitoring is baked into your pricing system. Alerts should be real-time, platform-wide, and specific to each product variant. That’s how you stay ahead, not just informed. 4. Analyzing Pricing Across Geographies and Platforms What works in Europe might fall flat in North America. And the same product can demand two very different prices depending on where—and how—it’s being sold.  In European marketplaces, brands often have higher prices. Less competition, stronger demand, and fewer discount-driven shoppers make that viable. In contrast, North America moves fast and fights hard on price. Aggressive

The global Quick Service Restaurant industry, as of 2024, was valued at $971 billion. By the end of this year, the industry is expected to grow to $1055.48 billion. In the near future, the industry is expected to continue growing at a CAGR of 9.01%, being valued at $1930.14 billion by 2032. Clearly, these aren’t small numbers. The Quick Service Restaurant model is quickly emerging as a lucrative business and naturally will attract a lot of new players in the coming years.   This growth is being powered by a number of factors. The most obvious one is the growing affinity of users towards digital ordering. Similarly, the fantastic growth of third-party food aggregators like Uber Eats, Zomato, Swiggy etc. has added some truly potent fuel to the fire.  When the barrier to entry in the industry has become so low, differentiating your business from the rest can be difficult. Thankfully, there’s a proven way to succeed in such a dynamically growing economy- to make data driven decisions by implementing digital commerce intelligence. Let’s see how this intelligence works and how it is obtained in the following sections.   The Need for Digital Commerce Intelligence in QSRs To say that in the last decade, consumers have changed the way they make purchases would be an understatement. Thanks to trends and technologies like online food delivery, mobile ordering, and digital loyalty programs, modern consumers are driven by very different motivations as compared to a decade ago. For instance, the abundant availability of options has diminished the brand recall value of even the most memorable businesses and shortened the attention spans of prospects.   Getting in front of the right audiences may have become easier in theory, since aggregator platforms and search engines can potentially direct interested audiences towards modern QSRs. However, these platforms have become overcrowded and even with access to targeted audiences and that’s why, getting visibility has become a battle for most QSRs.  Here, getting access to and acting upon real-time insights can prove incredibly advantageous. Such insights, usually delivered by data intelligence platforms, can help QSRs improve operational efficiency by enabling better management of demand forecasting, stock levels, and using these metrics to further devise better pricing strategies and menu audits. This is just one aspect of using digital commerce intelligence.   With all that said, all the advantages associated with digital commerce intelligence depend on choosing the right tool. How do you do that? Let’s find out in the next section.  Key Aspects to Look for in a Digital Commerce Intelligence Solution Specific features that may be important to individual businesses may vary when it comes to picking a digital commerce intelligence solution. However, there are some common features that may be relevant to most QSR business. These include:  – Market & Competitive Insights: One of the most important functions of a digital commerce intelligence tool is to enable QSR businesses to make better business decisions. The smart way to do that is to track category trends, pricing, and competitor strategies and hence, the ability to track these metrics is a non-negotiable when picking a digital commerce intelligence tool.  – Customer Sentiment Analysis: Choosing a tool that can help you understand consumer feedback from different sources can prove incredibly advantageous. When picking a tool, make sure it has the ability to pull and analyse customer feedback from sources like third-party review websites, search engine listings, and social media platforms.   – Actionable Data for Decision Making: Finally, when picking a digital commerce intelligence tool, you are looking for one with an easy-to-understand and user-friendly dashboard. This is important because all the data collected and analysis done by the tool will be presented to you in the dashboard. Here, it should be available in a manner that allows business owners or brand managers to derive actionable insights from the data and use it to inform quick optimization actions and long-term strategies. The best tools in the market will even derive the insights for you, using AI-enabled suggestions.  The Impact of Digital Commerce Intelligence on QSR Growth So what kind of a difference can a digital commerce intelligence tool make? Here are some advantages any QSR business can start experiencing almost immediately upon implementing a solution:  – Better Menu and Pricing Decisions: Using insights from marketing and competitive analysis and combining them with insights from consumer sentiment analysis can help QSR businesses make better pricing and menu-related decisions. This cannot just potentially improve sales figures but can also optimize menu items for demand and better inventory management.   – Improved Customer Retention: With consumer sentiment analysis and insights from performance of campaigns and promotional offers, QSRs can inform better consumer retention strategies. The same data can also be used to create personalised experiences for consumers and incentivise consumer loyalty in a meaningful and impactful way.  – Maximized Revenue Opportunities: Analysing the data derived from a digital commerce intelligence tool can help QSRs identify the conditions and times for demand surges. Similarly, analysis of historical data can also help QSRs identify ideal delivery zones and determine which upselling strategies work the best with specific customer personas.   Conclusion In a digital economy, access to and the intelligent use of intelligence can put any brand ahead of their competitors. On the flipside, not using the vast amount of data available online to their advantage can prove to be a huge lost opportunity cost for QSR brands.   Choosing and implementing the right tool can pay off exponentially in terms of more rapid and sustainable growth, improved operational efficiency, and heightened brand trust. In other words, implementing a data-driven strategy is not optional for QSR brands that are serious about their growth.  Have a Quick service restaurant? – Connect with mFilterIt experts to learn how we can help.