listening247
Stop spending on Ads that don't connect. Start listening.
We turn live conversations into Ads that drive sales and engagement for small to medium businesses at a fraction of the cost.
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Gain the unfair advantage you need with listening247

80% less
Ad creation time

10x faster
Ad output

90% lower
Ad creative costs

How We Automate Ads

1. Listen & Analyze
Our AI Data Engine ingests millions of real-time social conversations, decoding topics, intent, and sentiment.

2. Generate Insights
Unstructured data is transformed into actionable intelligence, revealing hidden opportunities and audience needs.

3. Create On-Brand Ads
Automatically generate on-brand social media posts, Ads, and visuals directly from these insights, tailored to resonate with your audience.

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Brands We've Worked With

Real Talk → Real Insights

Tap live conversations to pinpoint demand, objections, and triggers. No surveys, no guesswork.

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More Output, Fewer Meetings

Auto‑generate on‑brand posts, ads, and variants from insights. Approve and publish in one flow.

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listening247 INSIGHTS
Our Thinking
Riding the Data Wave: How Social Listening Steers A Cycling Brand Ahead of the Pack
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Leggings, Leaders & AI Leaks: Top 5 Women's Activewear Trends Spotted by listening247 in 2025
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AI: Powering-Up Insights Conference 2026
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Join Michalis A. Michael at DC Text Analytics Forum
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AI, Apps, and Aisles: The 2025 Grocery Retail Shake-Up Revealed
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Footprints of Influence: Tracking What Moves Consumers in the Footwear Game
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Streamfluence: How Social Media Shapes What We Watch
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AI Powered Insights - Marketing Research Reconfigured
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How the Stock Market is Evolving in 2025: Trends You Need to Know
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From Conversations to Conversions: Automating the Customer-to-Ad Pipeline for a Biscuits Brand
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Testimonials
What People Say …
Klaus Oberecker
Managing Partner - MindTake
“We at MindTake are delighted to join the communities247 family and look forward to making the most of its potential for qualitative research in our projects across central and southeastern Europe. We have so far used the platform in projects that required both real-time discussions and reflective diary reports, and are especially keen to use its capabilities to expand our use of rich-media in brand and impact assessments.”
Simon Carpenter
CEO - Merlin Communications (UK) Limited
“listening247 has been our preferred platform supplier for online qualitative research and surveys for both short and long term research communities, worldwide. As an ex Global Head of Insight and Customer Experience for a Fortune 500 company, I take performance levels and service very seriously and I can only say that I would award listening247 a full five stars on both. They are a delight to work with, utterly dependable. I have no hesitation in recommending them.”
Tom Molnar
Co-Founder and CEO - GAIL'S
“The listening247 Brand Health Tracking Dashboard has unveiled previously untapped customer perspectives, extending our understanding by accurately collecting and presenting back to us unstructured and unsolicited data that we could not previously access.”
Lucy Stewart
Head of Global Customer - Vivobarefoot
“As a brand, we are new to social listening. Like many we track positive and negative posts, engagement, sharing and reach, we haven’t previously taken this to the next level. Understanding NSS (‘Net Sentiment Score’), and how our customers or those interacting with us actually feel is imperative to being a Customer First Brand, and elevating the experience and products. Michalis and the team have been flexible, collaborative and hugely forthcoming in building reports and knowledge which works for us, and rather than just showing data, actually providing insights which are digestible and actionable."
Piotr Stefan Szymski
Market Intelligence & Insights Director - SABMiller (Currently With Meta)
"SABMiller asked listening247 to annotate social media posts about beer with sentiment. The precision of the listening247 report was 87% -as measured by an independent 3rd party appointed by SABMiller. The listening247 machine learning models were used to annotate approx. 30,000 posts from 3 Spanish speaking countries in Latin America in an automated way, with positive, negative, or neutral sentiment towards a number of beer brands. Previous results (using a social media monitoring tool) had reached a sentiment precision of 44% which made the measurement useless."

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