Verndale x Meaningful
What is Meaningful?
Data orchestration for consumer insights
What if you could start every project by simply describing what you needed to understand?
Meaningful takes your business question and offers a complete research approach - surveys, interviews, social listening, market reports, and internal data - all working seamlessly together.
One question. Multiple methods. One complete answer.
How can Meaningful help you?
Verndale's human experts deliver strategic insights that drive transformation.
Meaningful handles the infrastructure challenge, orchestrating consumer insights, brand intelligence, and internal client data so you move from question to recommendation without platform chaos.
1
Win more pitches with unified insights and strengthen your strategic recommendations
Connect insights across all research methods to build client presentations that tell one cohesive story. Your expertise drives the strategy - Meaningful handles the synthesis.
2
Add brand intelligence to your service offering
Monitor how clients' brands are perceived across LLMs, social narratives, and competitive landscapes. Deliver insights that go beyond campaign execution to strategic positioning.
3
Stay ahead of reputation shifts
Give clients early visibility into emerging narratives and cultural sensitivities. Be the agency that spots opportunities and threats before they become obvious.
4
Unlock insights trapped in client systems
Connect directly to your clients' CRM, support tickets, internal surveys, and customer data securely. Layer external research with the intelligence they already have but can't easily access or analyze.
New services you can offer

Advanced brand monitoring

Contextual social media monitoring: Move beyond keyword search to identify brand narratives and frames LLM brand mirrors: Track how LLMs view brands and discoverability Competitor narrative mapping: Compare how competitors are framed across medias and identify gaps Reputation early warning: Spot emerging narratives before they trend Weak signal detection: Leverage context to identify early indicators of future trends before they hit the mainstream

Enterprise integrations

Smart wiki: Link all internal data sources and systems to create a live intelligence layer to leverage existing data Workflow automations: Streamline and automate current manpower intensive and repetitive tasks Narrative quantification: Transform unstructured insights into measurable metrics for easy tracking Context to action models: Automatically suggest tailored actions when key thresholds are hit Adaptive dashboards: User customizable dashboards for everyone in the organization From projects to products: Move from one-off projects to subscription-based revenue

Customer voice evolution

Integrated customer service: Conversational AI for customer service, integrated directly with CRMs and other tools Unified customer intelligence: Integrate all customer data sources and touch points for a holistic customer understanding Contextual experimentation: Safely test in-house how personas react to a variety of stimuli Synthetic focus groups: Run tests seeded by real data and continuously updated with real-time information Churn predictor: Identify leaving signals from unstructured internal or external data

Narrative risk monitoring

Misinformation tracking: Detect false or distorted narratives on social media and LLMs Narrative precision: Adjust for cultural and geopolitical sensitivity by identifying narrative differences by market Journey narratives: Map stories instead of segmenting customers by static demographics

Timeline
1
2024: Foundation
We started with AI-moderated surveys, giving researchers a faster way to collect qualitative insights at scale.
2
Q1-Q3, 2025:
Data Orchestration
We added social listening, secondary research integration, and enterprise connectors, transforming from a single-method tool into a platform that synthesizes insights across all research streams.
3
Q4, 2025:
Intelligence Layer
We're building brand perception monitoring that tracks how LLMs understand your brand, narrative risk detection that spots emerging threats, and advanced synthetic personas that let you test ideas before launching.
4
2026+:
Full Intelligence Ecosystem
The platform will predict market shifts through weak signal detection, track customer voice evolution in real-time, and provide cultural sensitivity monitoring across global markets.
Let's build something bigger together
Verndale was our first customer when we were just AI surveys. You believed in orchestrated insights before it existed. Your feedback shaped every feature we built.
Now we're building the next chapter by connecting internal data sources and tools while exploring integrated brand perception monitoring, narrative intelligence, predictive insights. The best version of Meaningful hasn't been built yet. Let's build it together.
We propose a six-month paid pilot to explore creating brand new, unique and customized offerings so Verndale can not only reach its growth goals, but also to move from project based revenue to longer term contracts.