In retail, perception is product. Whether you're launching a campaign, managing sustainability claims, or navigating pricing backlash, how your brand is being talked about impacts revenue, trust, and loyalty.
Logically helps retailers get ahead of that pressure. Our AI platform monitors how your brand—and your competitors—are showing up in the conversation. From early signs of boycott sentiment to campaign fatigue or product disappointment, we provide classified, contextual insights that help you act early, adjust messaging, and maintain consumer trust.
With visibility into shifting preferences, misleading commentary, and sentiment momentum, your teams can make sharper decisions—across marketing, inventory, and experience.
Key Benefits of Working with Logically
Narrative Detection that Goes Beyond Sentiment
Understand how campaigns, promotions, or policies are being interpreted—not just liked or disliked. We identify the signals behind spikes in engagement, frustration, or consumer risk.
Boycott Detection and Risk Escalation
From sustainability accusations to politicised product choices, Logically surfaces early boycott mentions, tracks their momentum, and helps you prepare internal and external responses.
Campaign Feedback and Creative Clarity
Logically doesn’t just count reactions—we classify them. Understand what consumers are reacting to and how your message is landing across platforms and audience segments.
Competitor and Category Benchmarking
See how your brand stacks up in the minds of shoppers. Track competitor moves, emerging campaigns, and shifting customer sentiment to protect your edge.
Crisis Response Built for Retail Speed
When controversy hits, Logically shows you how fast it’s spreading, what’s driving it, and how to frame your response—before headlines set the tone.
Use cases
Reputation & Narrative Risk Monitoring
Track how campaigns, public statements, or product launches are being framed across public discourse. Spot misleading information or backlash building around pricing, inclusivity, or sourcing—before it escalates.
Boycott Detection & Escalation Tracking
Logically identifies early mentions of boycott activity—classifying tone, trigger, and spread. Monitor campaign traction across fringe, mainstream, and activist channels to coordinate a confident, brand-safe response.
Campaign Sentiment & Audience Alignment
Understand whether your messaging is resonating, causing fatigue, or triggering unintended reactions. Logically classifies emotional and thematic feedback, helping teams quickly adjust copy, creative, or spend before engagement drops.
Customer Value Signals & Loyalty Risk
Track the sentiment trajectory around product quality, sustainability claims, or customer service interactions. Spot when brand loyalty is under threat—and which values are driving customer decisions.
Competitor Positioning & Market Timing
Surface which competitor narratives are gaining attention, and why. Benchmark sentiment across product categories, promotions, and brand values to time your own messaging or launches strategically.
Discover Retail Intelligence in Action
Logically’s AI platform scans and classifies public conversation—from social media and news to fringe forums—giving retailers a clear view of how campaigns, pricing, and values are resonating. We provide narrative intelligence, not just data—so your team knows what’s happening, and what to do next.
Our Latest Resources
With advanced AI-driven research and deep subject-matter-expertise, Logically provides in-depth foresight to address today’s most pressing information challenges. Explore some of our investigations to see the power of Logically’s intelligence in action.
Schedule Your Retail Intelligence Consultation
Let’s talk about how to make every decision more confident—whether you’re planning your next campaign, refining product strategy, or managing reputation in a high-pressure moment. Logically helps retail teams stay responsive, resilient, and relevant.
Case Study: Decoding boycott narratives to protect brand trust →
Case Study: Defending brand trust during polarising campaigns →
Case Study: Anticipating backlash and protecting retail reputation →