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quantilope's Latest Platform Innovations Fueling Brand Growth

Discover how quantilope's latest platform innovations are transforming brand growth with advanced AI tools and market research solutions.

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Aug 27, 2026

quantilope is the Consumer Intelligence Platform for all end-to-end research needs

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Driving brand growth takes more than passive data collection; it requires a system that seamlessly connects consumer sentiment with real buying triggers.

Building that kind of system has always been our focus at quantilope, where automation and AI haven't been rushed in as a recent trend, but baked into our DNA since Day 1. Long before AI became an industry buzzword, we were pioneering how advanced methodologies could be scaled with AI and automation to make research faster and more accessible.

In 2026, we’re taking that legacy even further across our entire platform. Supported by our end-to-end AI Research Partner, quinn, quantilope connects exploratory research, activation research, and continuous tracking into one always-on brand growth engine. Additional innovations like instantaneous Category Entry Point generation and flagship synthetic Category Twins, are driving teams to act on best-in-class consumer intelligence at record speed.

Below are the latest AI-driven innovations quantilope users are leveraging to scale their brand growth this year.

Key Takeaways:

  • End-to-end AI research workflows: quantilope's AI Research Partner, quinn, accelerates advanced study creation and analysis while building a searchable brand memory.
  • Instant Category Entry Point generation: quantilope's CEP Generator creates a list of initial buying triggers to ground marketing and innovation in real consumer buying moments.
  • Pre-testing with synthetic consumers: quantilope's Category Twins leverage unique brand tracking data to pressure-test early concepts, messaging ideas, and competitive moves. 
  • Upcoming Mental Availability Norms: Insights teams will soon measure Mental Penetration and Network Size across 1,000+ brands and 150+ categories with Mental Availability Norms.

Table of Contents:

Streamline the end-to-end workflow with quantilope's AI research partner, quinn

In today’s market, basic AI features are table stakes. The real differentiator isn't having access to AI—it's having AI that understands high-rigor research methodology. quantilope’s AI Research Partner, quinn, isn't just an automated assistant; it's a conversational AI engine built directly into our platform architecture, merging machine intelligence with deep human expertise.

By embedding AI across every phase of the research lifecycle, quinn transforms how insights are created, validated, and converted into action, ensuring teams spend less time executing projects and more time steering commercial strategy.

Most notably, quinn now operates natively inside the Survey Editor section of quantilope's platform. Insights teams can now generate complete, advanced-methodology study drafts from simple prompts in seconds — slashing setup time while preserving total methodological integrity.

quantilope's AI Assistant quinn

As a fully end-to-end Research Partner, quinn fundamentally changes how studies are built, validated, and translated into action:

  • Instant survey generation: Go from a high-level business objective to a fully programmed, methodologically survey in a matter of clicks.
  • Proactive rigor: Built-in validation and quality checks automatically audit logic and question phrasing
  • Increased speed & efficiency: Reclaim hours spent on study setup and reallocate that time toward high-level strategy and execution.

At its core, quinn is built for a 'Do It with AI' mindset: using high-performance AI to handle the tedious mechanics so researchers can leverage their expertise where it matters most.

Unlocking Organizational Knowledge with quinn Search

Most recently, quantilope has rolled out a new innovation of quinn: quinn Search.

Many organizations already have a lot of useful research—but it’s buried in decks, dashboards, and folders. quinn Search turns a team's entire project library into a living brand memory, synthesizing findings across studies into one clear answer instead of a pile of documents to sort through.

Researchers can simply ask quinn, "What do we know about millennials?" "Which advanced methods have we leveraged in the past?" or "What are the key learnings we have about [competitor]?" and get one clear answer drawn from every relevant project.

With this innovative feature, teams spend less time searching through their past data or rerunning redundant studies to get the answers they need.
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Connect buying moments to brand strategy with quantilope's CEP Generator

quantilope’s Category Entry Point (CEP) Generator is another exciting innovation generating a targeted list of category buying triggers in one minute instead of hours.

CEPs are the needs, occasions, motivations, and situations that lead people to enter a category, such as "When I'm thirsty," or "While driving to work." When brands know why consumers are entering their category in the first place, they can plan messaging and innovation strategies around real buying moments (and then track whether the brand is coming to mind more often in those scenarios).

Coming up with a list of CEPs to include in your tracking study can be a lengthy brainstorming process. quantilope's CEP Generator makes this process faster by using AI to generate a list of 35 initial CEPs. From there, brands bring the list into a workshop with key stakeholders to debate, refine, and narrow it down to include in their final online study (typically about 20 CEPs).

Rather than spending hours coming up with reasons consumers might be drawn to your category, teams can reallocate this time to actually putting their tracking findings into practice through marketing tactics or positioning campaigns.

quantilope's CEP Generator

Why CEPs matter for innovation

CEPs help teams avoid broad, vague targets and instead focus on specific moments that can unlock growth.

For example, a food brand might find that “quick energy between meetings” is a clearer growth moment than “for a healthy snack.” A financial services brand might find that certain life events—not demographics—should shape product education and messaging.

When you start with CEPs, it becomes easier to align research, marketing, and innovation around a proven buying scenario.
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Launch more effective advertising campaigns with quantilope's Ad Optimizer

Marketing and advertising play a huge part in brand growth. But before an ad goes live, one question matters most: does an advertisement actually communicate the buying moments you're targeting?

quantilope’s Ad Optimizer is an ad testing tool that helps marketers and advertisers quickly improve and compare ad concepts before they go live. Simply enter your category, input relevant Category Entry Points (which you can generate quickly using quantilope's Generator), upload your visual asset(s), and click "run analysis."

The Ad Optimizer will provide a frame-by-frame analysis of your creative assets for on-screen imagery and any accompanying audio, including a presence score (if the CEP appears at all) and a consistency score (how often the CEP appeared). You'll clearly see which frames are tied to CEPs, which could be stronger, and which lack associations altogether. You can analyze each of your ads in isolation, or compare one to another, similar to an A/B Testing approach.

Using this innovative tool as part of your creative process leaves you with a clear action plan on how to improve your assets so they resonate well with consumers who see them in the real world.
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Support early-stage exploration with quantilope's Category Twins

While generic AI personas flood the market, quantilope is setting a new benchmark for synthetic research. quantilope's Category Twins are digital replicas engineered directly from a brand’s own empirical tracking data—not untrusted, generic LLM training sets.

Grounded in the Ehrenberg-Bass Institute's brand growth science, these digital replicas use custom metrics like Mental Availability and Category Entry Points to accurately mirror how a brand’s target audience thinks, feels, and makes purchasing decisions.

By enabling teams to "interview" synthetic consumers on early-stage ideas in real time, Category Twins eliminate the traditional tradeoff between speed and rigor. Teams can run endless "what-if" scenarios, pressure-test raw concepts, and validate hypotheses instantly—reserving full-scale field studies for fully vetted, winning ideas.

 

Use quantilope's Category Twins to

  • Test early concepts: Pressure-test initial product features, packaging concepts, or raw innovation ideas to weed out weak options before moving to in-depth human validation.
  • Sense-check messaging: Ask your Twin how they'd react to a headline, positioning statement, or marketing claim to get their unfiltered take before it goes further.
  • Gauge the market competition: Describe a competitor’s move (a new feature, a price change) and ask your Twin how it shifts their perception to get a directional read on where your brand stands.
  • Everyday access: Give product, design, and marketing teams direct, on-demand access to a synthetic consumer, right inside daily strategy sessions or creative brainstorms. 
  • No sugarcoating: Your Twin has no stake in your brand strategy, so it gives you honest, candid reactions—not just what you want to hear.
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Coming soon: Mental Availability norms!

quantilope tracking clients will soon be able to gather more context about their results with Mental Availability Norms!

quantilope is the only provider offering automated norms built specifically on Ehrenberg-Bass principles, drawn from a dataset spanning 1,000+ brands, 150+ categories, and 30+ markets.

Mental Availability analysis lets brands know whether or not consumers are thinking of them in key buying moments, such as “When I need a refreshing drink,” or “While on a roadtrip.”

Mental Availability metrics are further broken up into: Mental Market Share (MMS), Mental Penetration (MPen), and Network Size (NS)—which tell brands how much mental space they take up in consumers’ minds, whether or not consumers connect their brand to any Category Entry Point, and how many Category Entry Point associations their brand has overall, respectfully.

Rather than interpreting these scores in isolation, users will soon be able to compare their results against aggregated data/norms—turning a static number into a clear read on where a brand stands, and what to do next. Falling below the norm on Mental Penetration points to a reach problem worth fixing with media strategy; falling below on Network Size points to a messaging gap worth fixing with creative. Users can see how their score compares to the category average, or break the data into five equally-sized quintiles to see exactly where they rank (e.g. top or bottom 20%).

This innovative product release will be available to quantilope platform users this October!
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What makes quantilope one of the most innovative market research tools for brand teams?

The best research platforms are becoming more than data-collection tools. They’re becoming systems that help teams make better brand decisions, week after week.

quantilope’s latest innovations aim to make market research faster, easier to interpret, and simpler to apply to brand growth strategies. Through automation, AI-driven solutions, and an always-on Research Partner, brands know they're getting trusted, actionable insights from their platform studies.

It's thanks to these continued innovations that brands like Kettle & Fire, Kodiak Cakes, Organic Valley, and Florida's Natural trust quantilope's Consumer Intelligence Platform to drive their brand growth.

Learn more about quantilope's latest innovations!

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