BuyLogic
Decode the science of purchase decisions
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Simulate how your consumers make real-world trade-offs
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Unlock the perfect mix of features, price, and brand appeal to optimize sales, COGs or unit profits
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Don't wait for scanner data - pinpoint the features that will drive purchase and forecast demand with confidence
BuyLogic is a market simulation, recreating real-world purchase scenarios, where consumers evaluate and make trade-offs between product features, price, and brand perceptions—balancing rational considerations like value and functionality with emotional factors such as brand image and self-identity.
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This approach is particularly effective when testing a new offering, providing a detailed understanding of consumer priorities. Participants are presented with various product or service combinations, each varying in features, pricing, and branding. The resulting analysis identifies which attributes have the greatest influence on consumer decision-making.
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For companies, this data is invaluable for refining brand positioning by aligning product attributes with consumer preferences, maximizing appeal, and differentiation. It also informs product innovation by highlighting feature combinations that resonate most with the target audience, ensuring development efforts are focused on delivering high-value offerings.
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Additionally, BuyLogic supports demand forecasting by simulating how consumers might respond to different pricing and feature scenarios in the competitive landscape. This predictive capability enables businesses to craft a pricing strategy that optimizes profitability and market penetration.
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By understanding the relationship between features, price, and consumer preferences, brands can make informed decisions that improve user experience and increase the likelihood of capturing greater market share. Ultimately, feature-price tradeoff testing is a strategic tool for guiding product development and marketing efforts, ensuring offerings are tailored to meet market demand effectively.

Essential Scope
Indicative Fee: $12,000
Approximate Timing: 2 weeks
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Assumptions:
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Single FMCG product
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Category usage incidence: over 50%
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One developing market (eg. Thailand)
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Minimal online sample of 300 category users
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Outputs:
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Illustrative charts
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Management summary
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Extensive Scope
Indicative Fee: $30,000
Approximate Timing: 3 weeks
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Assumptions:
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Technology product, multiple design options depending on segment needs
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Category usage incidence: 10% to 50%
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One developed market (eg. UK)
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Online sample of 1,000 category users
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Outputs:
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Illustrative charts
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Management summary
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​​​Fees/timings and the assumptions underlying them are indicative but realistic. Fees are in NZ$ and exclude GST (if applicable).​ See details.