Press release
Datastory Unveils AI Analytics Platform That Delivers Daily Marketing Insights into WhatsApp, Slack, and Email
As marketing teams face unprecedented data complexity, Datastory aims to solve a growing gap between the amount of data collected and the number of decisions that data informs. The 2025 Marketing Data Report from Supermetrics, based on 6,000 businesses and 200 marketers, found that marketers are working with 230% more data than in 2020, yet 56% say they don't have enough time to analyze it and 38% lack tools to integrate and report on their data effectively. At the same time, nearly one in three marketers review performance reports only once a month or less, slowing down optimization cycles in fast-moving channels.
"Teams don't need another dashboard-they need a clear, daily answer to 'what changed and what should we do today?'," said [Spokesperson Name], [Title] at Datastory. "Datastory uses AI to read your data for you, then sends the important parts straight into WhatsApp, Slack, and email, where decisions actually happen."
AI that reads GA4, Ads, Shopify, and more
Datastory connects to core growth and marketing tools including Google Analytics 4, Google Ads, Google Search Console, Facebook Ads, Shopify, Instagram, and TikTok. Once connected via secure OAuth, its GPT‐4 powered engine analyzes key metrics every day-traffic, conversions, revenue, ROAS, engagement-detects trends and anomalies, and generates plain-language insights that explain:
What changed (e.g., "Revenue is down 9% vs. last week"),
Where it changed (e.g., "mainly from mobile traffic and Campaign X"),
What to consider doing next (e.g., "reduce spend here and reallocate to high-ROAS retargeting").
Instead of raw charts, users receive narrative answers to questions like "Why did performance drop yesterday?", "Which campaigns should we scale this week?", and "Where are we wasting budget?".
Daily briefings and smart alerts in channels teams already use
A key differentiator for Datastory is its multi-channel delivery model. Rather than expecting busy stakeholders to log into dashboards, the platform pushes insights into the tools they already check throughout the day:
WhatsApp: Mobile-friendly daily summaries and anomaly alerts that can be read and forwarded in one tap to founders, clients, or managers.
Slack: Daily performance reports and real-time alerts dropped into channels, turning analytics into an ongoing team conversation rather than a static report.
Email: Scheduled reports (daily, weekly, monthly) summarizing key KPIs and changes for leadership and stakeholders who prefer inbox-based updates.
This approach aligns with broader communication trends: WhatsApp now reaches around 3.2 billion users globally, with message open rates reported as high as 98%, and more than 50 million organizations using WhatsApp Business for customer and operational communication. Slack and similar collaboration tools have become default operating systems for digital teams, concentrating most day-to-day attention and decision-making.
Measurable impact: less reporting time, better ROAS
By automating analysis and reporting, Datastory helps teams reclaim hours each week traditionally spent on manual exports and slide-building. Industry guides on reporting automation estimate that marketers can lose 8-10 hours per week to manual reporting tasks alone; Datastory's customers report cutting that effort dramatically by letting AI handle monitoring and first-pass explanation.
Customer stories published by Datastory highlight concrete results:
An e‐commerce brand reduced reporting time by 72% and improved ad ROAS by 38% within the first month by replacing manual monthly reports with Datastory's automated daily summaries and anomaly alerts.
A luxury jewelry brand saw a 29% uplift in launch conversions after unifying GA4, Ads, and CRM data through Datastory, enabling clearer, more timely optimization decisions.
A textiles brand cut marketing waste by 41% and doubled repeat orders when teams began relying on WhatsApp-delivered daily insights to spot underperforming campaigns and high-value segments.
These outcomes reflect a wider industry consensus that better data integration and more frequent measurement can materially improve marketing performance and reduce waste.
Designed to complement-not replace-existing dashboards
Datastory is built to sit on top of existing analytics and BI investments. Dashboards remain available for deep exploration and custom analysis, while Datastory handles continuous monitoring, summarization, and distribution of the most important insights.
"Think of Datastory as a virtual analyst that never gets tired of checking the numbers," added [Spokesperson Name]. "It watches GA4, Ads, Shopify and more all day, then tells your team what changed-in Slack, WhatsApp, and email-so your humans can spend more time on strategy and creative, not spreadsheets."
Availability and pricing
Datastory is available globally via a SaaS subscription. Plans include tiers for startups, growing teams, agencies, and enterprises, with varying limits on projects, data sources, AI messages, and reports per month. All plans include core features such as multi-source integrations, AI-generated insights, scheduled reports, and multi-channel delivery, with higher tiers adding white-label reporting, more seats, and API access.
New customers can start with a free trial and connect GA4, Google Ads, Shopify, and other platforms in minutes to experience AI-written daily briefings and smart alerts.
About Datastory
Datastory is an AI analytics and reporting platform that turns scattered marketing and product data into clear, daily insights delivered where teams already work. By unifying data from Google Analytics 4, Google Ads, Search Console, Facebook Ads, Shopify, Instagram, TikTok, and more, and analyzing it with GPT‐4, Datastory helps over 100 brands worldwide reduce reporting time, improve ROAS, and make faster, data-backed decisions.
Media Contact
Ashish Mishra
Head of Growth
ashishmishra@datastory.sh
Website: https://datastory.sh
First India Place, MG Road, Gurugram, Haryana
B2B AI SaaS
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