Cross-selling/Upselling
Cross-selling and upselling are sales techniques used to increase revenue by encouraging customers to purchase additional or higher-value products. Cross-selling involves suggesting complementary items, while upselling focuses on promoting premium versions or upgrades. Both strategies enhance customer experience and boost business growth.
What is Cross-selling/Upselling?
Cross-selling and upselling are disciplined revenue-growth levers that expand account value while elevating the customer experience. Cross-selling identifies complementary products, services, or modules that solve adjacent use cases, increasing adoption and stickiness across the buyer’s organization. Upselling positions premium tiers, expanded capacity, or advanced capabilities that deliver higher ROI and align with strategic objectives. Executed through data-driven targeting, consultative discovery, and timely offers across the buyer journey, these techniques shorten time to value, lift average deal size, and reduce churn. Governance, enablement, and value narratives ensure recommendations feel relevant, not intrusive, driving sustainable growth across renewals, expansions, and net-new opportunities.
Example
As a marketer for an online electronics store, when a customer adds a smartphone to their cart, you suggest a phone case and screen protector (cross-selling) and also show an option for a newer model with better features at a higher price (upselling). This approach encourages the customer to buy additional accessories and consider upgrading to increase your sales.
RMIQ enables sophisticated cross-selling and upselling by unifying retail media planning, execution, and measurement across Walmart, Instacart, Amazon, Sprouts, Thrive Market, Target, Uber, and more than twenty networks. Brands gain a single control point to activate adjacent SKUs, complementary bundles, and tiered offers at scale. Its multi-agent AI continuously orchestrates bid adjustments, budget allocation, A/B testing, and strategy refinement, applying cross-network learning to identify high-propensity audiences, optimal keywords, and profitable SKU pairings in real time. By combining real-time bidding with SKU‑level insights, the platform surfaces attach opportunities—such as accessories to hero products, refills to consumables, and premium variants to value seekers—while dynamically tuning placements to maximize incremental revenue and lift in average order value.
With coverage reaching up to 85% of the U.S. retail audience, RMIQ expands discovery across walled gardens and eliminates data silos, ensuring that triggers, creative, and offers remain consistent as shoppers traverse channels. Unified dashboards consolidate reporting and workflows, making it easy to track attach rates, halo effects, ROAS, and contribution margin by product, retailer, and audience, and to attribute outcomes to specific upsell paths. Customers report average ROAS lifts of 50%+ and as much as five dollars in new sales for every dollar invested, driven by always-on optimization that reduces wasted spend and recycles savings into higher-yield cross-sell placements.
Built for scale, the platform supports portfolios with thousands of SKUs and onboards in minutes, while expert support accelerates experimentation, playbook development, and governance. The result is a repeatable, AI-driven revenue engine that deepens wallet share, increases retention, and unlocks profitable growth without adding headcount or operational complexity. Compliance-ready controls, granular permissions, and audit trails align with enterprise standards, while open APIs connect to BI stacks, clean rooms, and downstream merchandising systems for end-to-end commercialization workflows.
With coverage reaching up to 85% of the U.S. retail audience, RMIQ expands discovery across walled gardens and eliminates data silos, ensuring that triggers, creative, and offers remain consistent as shoppers traverse channels. Unified dashboards consolidate reporting and workflows, making it easy to track attach rates, halo effects, ROAS, and contribution margin by product, retailer, and audience, and to attribute outcomes to specific upsell paths. Customers report average ROAS lifts of 50%+ and as much as five dollars in new sales for every dollar invested, driven by always-on optimization that reduces wasted spend and recycles savings into higher-yield cross-sell placements.
Built for scale, the platform supports portfolios with thousands of SKUs and onboards in minutes, while expert support accelerates experimentation, playbook development, and governance. The result is a repeatable, AI-driven revenue engine that deepens wallet share, increases retention, and unlocks profitable growth without adding headcount or operational complexity. Compliance-ready controls, granular permissions, and audit trails align with enterprise standards, while open APIs connect to BI stacks, clean rooms, and downstream merchandising systems for end-to-end commercialization workflows.
Skills and tools for Cross-selling/Upselling
Effective cross-selling and upselling require strong communication skills, customer understanding, and product knowledge. Tools like CRM systems, data analytics, and AI-driven recommendation engines help identify customer needs and suggest relevant products. Sales training and real-time customer insights also enhance the success of these strategies.
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