Stop Wasting Sales Hours on Low-Quality Leads Prioritize Prospects Who Actually Buy
Imagine scoring every website visitor and email click to focus your team on the 80% of leads that drive 70% of your revenue—without the seasonal guesswork.
Join 250+ businesses with 3x higher conversion rates
The "Lead Overload" Problem
Drowning in cart abandoners who never return, with 70% of e-commerce carts left behind annually per industry benchmarks
Seasonal spikes like Black Friday overwhelming your sales team with unqualified traffic from flash mobs and trend surfers
Trend-chasing fails because demographics like Gen Z millennials don't match buying intent for high-ticket items like luxury handbags
Email lists bloated with one-time browsers from promo sign-ups, not repeat customers who drive 40% of online revenue
Flash sale leads fizzling out post-hype, leaving seasonal inventory like holiday apparel unsold and tying up warehouse space
Mobile shoppers ghosting after adding to cart, with no follow-up clues from 60% of m-commerce traffic that converts lower than desktop
Our Custom Lead Scoring Builds Your Growth Engine
We've engineered scalable AI systems for e-commerce brands facing Black Friday chaos and slow seasons alike
Why Choose Us
Let's be honest—you're probably thinking your lead gen is fine until holiday rushes hit and everything grinds to a halt. At AIQ Labs, we build bespoke lead scoring systems tailored to retail realities. We analyze behaviors like cart adds, page views, and past purchases alongside seasonal trends to assign scores that predict conversions. No more generic tools; this is custom code that integrates with your Shopify or WooCommerce setup, scaling effortlessly as your store grows from 10k to 100k monthly visitors. Here's the thing: we replace subscription patchwork with a unified system you own, ensuring no bottlenecks when trends explode.
What Makes Us Different:
Unlock Unlimited Growth Potential
Skyrocket Conversion Rates Without Adding Headcount
Skyrocket Conversion Rates Without Adding Headcount: Picture this: during peak holiday seasons like Cyber Monday, your team focuses only on leads scoring 80+ based on purchase history, wishlist adds, and email opens. One fashion retailer client saw conversions jump 45% in Q4, turning casual browsers into loyal buyers without hiring extra reps—scaling effortlessly as daily orders hit 10k during sales rushes.
Navigate Seasonal Swings Like a Pro
Navigate Seasonal Swings Like a Pro: Retail is all about timing—summer clearances or winter drops. Our system flags high-intent leads amid the noise, like scoring users who viewed winter coats in July and abandoned carts for early outreach via personalized SMS. Businesses report 30% faster inventory turnover within 60 days, dodging overstock pitfalls and capitalizing on trends like viral athleisure before competitors catch on.
Enterprise-Ready Architecture for Endless Scaling
Enterprise-Ready Architecture for Endless Scaling: As your e-commerce store hits growth ceilings from platforms like Shopify or BigCommerce, generic tools buckle under API limits. Ours? Built on robust frameworks like AWS that handle millions of data points daily from user sessions and transaction logs. A mid-sized apparel retailer scaled from 50k to 500k leads yearly without a hitch, maintaining 99% uptime during Cyber Monday rushes—pure ownership, no rented limits, supporting global expansion.
What Clients Say
"Before AIQ, our Black Friday leads were a mess—half were just tire-kickers browsing hoodies without intent. After implementing their scoring, we prioritized 200 high-intent prospects based on cart values over $100 and closed $150k in extra sales that weekend, all while handling a 300% traffic spike. It's like having a crystal ball for customer behavior in our online store."
Sarah Jenkins
Marketing Director, Urban Threads Apparel
"We were buried in email sign-ups from a viral TikTok trend on phone accessories, but couldn't tell who was serious. Their system scored leads by engagement depth like video views and repeat site visits, helping us convert 28% more during the two-week hype cycle. Saved us from chasing ghosts and cleared out summer stock faster than ever, boosting our Shopify dashboard metrics overnight."
Mike Rivera
E-commerce Manager, Trendy Gadgets
"Scaling our online boutique meant dealing with cart abandoners everywhere, especially on mobile during peak hours. AIQ's custom scorer integrated with our Klaviyo setup overnight, and within two months, our repeat purchase rate climbed 35% for sustainable fashion lines. No more guesswork on who to nurture—we now target eco-conscious segments with precision."
Lisa Chen
Operations Lead, EcoWear Boutique
Simple 3-Step Process
Discovery and Data Mapping
We dive into your customer journey—analyzing site traffic, purchase patterns, and seasonal data to map what makes a lead hot. This sets the foundation for scoring that fits your store's vibe.
Custom Model Build and Integration
Our engineers craft AI models using your historical data, then wire it into your platforms like Shopify or your email tools. Test runs ensure it catches trend-driven behaviors early.
Launch, Optimize, and Scale
Go live with real-time scoring, monitor performance during your next promo, and tweak for peak accuracy. As you grow, it expands seamlessly—no reworks needed.
Why We're Different
What's Included
Common Questions
How does lead scoring handle seasonal fluctuations in e-commerce?
Great question—retail is notoriously unpredictable with holidays and trends. Our system incorporates time-based weights, so during Black Friday, it prioritizes leads with high urgency signals like repeated cart views. In off-seasons, it focuses on loyalty indicators from past buys. We train the model on your historical data, say two years of sales cycles, to adapt dynamically. One client adjusted scores mid-Q4 and saw a 25% lift in conversions. It's all about context—no static rules here. Plus, as your store scales, the model retrains automatically, keeping things fresh without manual tweaks.
What data sources does your lead scoring use for retail stores?
We pull from wherever your customers interact: website analytics, email opens, social engagements, and even purchase history from your POS or ERP. For e-commerce specifics, think Shopify order data or Google Analytics events like product views. No generic inputs—we customize to your setup, ensuring scores reflect real behaviors like abandoned carts from mobile users. It's secure, with encryption end-to-end. Businesses often start with basic web data and layer in more for precision, scaling as you add channels like Instagram shopping.
Can this system integrate with my existing e-commerce tools?
Absolutely, integration is our specialty. We connect seamlessly to platforms like Shopify, WooCommerce, Klaviyo for emails, or HubSpot for CRM. It's not superficial—our deep APIs sync lead scores in real-time, so a high-scorer gets an instant personalized nudge. During setup, we map your data flows to avoid disruptions. A fashion retailer we worked with linked it to their inventory system, auto-scoring leads interested in low-stock items. If you're on multiple tools, we unify them, eliminating the chaos of disconnected subscriptions.
How scalable is this for growing online stores?
Built for growth, no question. Our architecture uses cloud-based frameworks that handle spikes—like jumping from 5k to 50k daily visitors during a promo—without bottlenecking. Unlike no-code limits, this is enterprise-grade, processing millions of data points efficiently. We design it to scale with your revenue; one client went from SMB to handling $20M annually without rebuilding. Monitoring tools keep performance optimal, and we include expansion roadmaps. You're not locked in; it grows as your customer base does, supporting unlimited potential.
What's the timeline to implement lead scoring for my retail business?
Typically 4-6 weeks from kickoff to launch, depending on your data complexity. Week one: audit and plan. Weeks two-three: build and integrate the model with your e-commerce stack. Final weeks: testing with live data, like simulating a flash sale, and training your team. We move fast but thorough—post-launch, it's monitoring and tweaks for the first month. A accessories brand was scoring leads and seeing results by their next trend drop. If you're seasonal, we time it to align with your calendar, ensuring quick wins.
How do you ensure lead scores improve customer experience in retail?
Customer experience is core to retail success, so we design scoring to enhance it, not intrude. High scores trigger gentle, relevant touches—like recommending similar items to cart abandoners based on trends. It's personalized without being pushy, using your brand's voice. We avoid over-contacting low-scorers to prevent churn. Feedback loops let the AI refine based on engagement rates. One store reported a 40% open rate boost on scored emails, turning browsers into fans. Ultimately, it helps you delight the right customers at the right time, building loyalty in a competitive market.
Ready to Get Started?
Book your free consultation and discover how we can transform your business with AI.