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What if anyone on your team could ask complex customer data questions and get real insights in seconds? With Syntasa’s Customer Insights Agent, you can simply ask questions in plain language and instantly get answers from your customer data. No dashboards. No SQL queries. No waiting on data analysts. The agent converts your question into SQL, runs it securely in your cloud environment, and returns insights instantly to help teams take the next best action. See how your team can move from waiting days for answers to validating ideas in minutes. - https://lnkd.in/epdCn-7S

Stop waiting for SQL. Start activating audiences. In UK retail, timing is everything. If you spot a trend on Tuesday, you shouldn't be waiting until Friday for an SQL export to reach those customers. Our Customer Audience Agent allows any marketer to converse with their data and generate ready-to-activate audiences in seconds. Zero SQL. Zero Rule-building. Zero Analyst dependency. Whether you're prepping for a Bank Holiday flash sale or a targeted loyalty push, you can now build your audience as easily as sending a WhatsApp. Check out the video below to see it in action! Learn more here - https://lnkd.in/dZJEsD3K

Still waiting for your analysts to write SQL queries just to build the right audience? Meet the Customer Audience Agent. Just ask: “Build an audience of users most likely to convert this week.” “Create a segment of churn-risk customers we should re-engage today.” “Find high-intent users who haven’t completed a purchase yet.” “Build a lookalike of our most valuable customers.” The agent understands your question, analyzes real-time customer signals, and builds high-intent audiences automatically. No dashboards to wrestle with. No SQL. No static segments. Just conversational AI that turns customer data into ready-to-activate audiences. 👉 Watch how audience building becomes as easy as asking. Learn more here - https://lnkd.in/dZJEsD3K

What if you could build your audience just by asking a question in natural language? Meet the Customer Audience Agent. Simply ask things like: “Who’s most likely to convert right now?” “Which audience should we activate today?” The agent understands your question, analyzes real-time customer signals, and builds high-intent audiences automatically. No dashboards to wrestle with. No SQL. No static segments. Just conversational AI turning customer data into action. 👉 Watch how audience building becomes as easy as asking. #AIinMarketing #CustomerIntelligence #NaturalLanguageAI #MarTech #Personalization

Here's why data teams are choosing composable CDPs: Traditional CDP approach: - Copy all data to vendor's cloud - Learn their proprietary system - Limited visibility into what it's doing - Marketing makes requests → Data team builds → 2 weeks later Composable CDP approach: ✅ Deploys IN your data warehouse (BigQuery, Snowflake, etc.) ✅ Data team keeps full control and transparency ✅ Marketing team gets self-service audience builder ✅ Requests take minutes, not weeks Your data never leaves your infrastructure. Your team keeps full SQL access. Marketing gets independence. Everyone wins. The best part? Deploy in days, not quarters. Book a call with us here - https://lnkd.in/d36xqUiT

While you wait 3 weeks to build a segment, your competitors already sold to that customer. Let's talk about what slow data activation actually costs companies. When it takes 2-3 weeks to build and activate a segment: → Seasonal campaigns miss the peak window → Paid media match rates drop by 30-40% → CAC climbs while competitors move faster → High-intent customers buy from whoever reaches them first One major UK retailer calculated their cost: £2.3M in lost revenue annually from slow data activation alone. The fix isn't hiring more data engineers. It's fixing the architecture. Warehouse-native CDPs eliminate the bottleneck: ✓ Segments built in minutes, not weeks ✓ Match rates improve 40%+ ✓ Marketing moves at campaign speed ✓ Data team overhead drops 60% Your competitors aren't waiting. Why are you? Book a call with us here - https://lnkd.in/d36xqUiT