A new AI analytics platform, Datastory, is aiming to change how growth teams work with data by delivering daily, decision-ready insights directly into WhatsApp, Slack, and email, rather than asking users to log into dashboards. Trusted by more than 100 businesses worldwide, including luxury and e‑commerce brands, Datastory connects tools like Google Analytics 4, Google Ads, Google Search Console, Facebook Ads, Shopify, Instagram, and TikTok into a unified analytics layer and uses GPT‑4 to analyze performance every day.
The launch comes at a time when marketers are under mounting pressure from data complexity. Supermetrics’ 2025 Marketing Data Report, based on data from 6,000 businesses and a survey of 200 marketers, found that teams are working with 230% more data than in 2020, yet 56% say they don’t have enough time to analyze it and 38% struggle with integration and reporting tools. The same report notes that 32% of marketers review their reports just once a month or less, highlighting how labor‑intensive reporting has become and how infrequently many teams are able to act on their data.
Datastory targets this gap by automating both analysis and distribution. After connecting their platforms via secure OAuth, users can let the system scan key metrics—traffic, conversions, ROAS, revenue, engagement—identify trends and anomalies, and generate plain‑language narratives that explain what changed, why it likely changed, and what to do next. These insights are then pushed out as scheduled daily, weekly, or monthly reports, as well as real‑time smart alerts when metrics spike or drop unexpectedly.
A differentiator for Datastory is its focus on messaging and collaboration channels as primary delivery surfaces. WhatsApp now reaches around 3.2 billion users with message open rates close to 98%, and more than 50 million organizations use WhatsApp Business, making it one of the most powerful global communication channels for both consumers and businesses. Slack, meanwhile, has become a default collaboration hub for many digital teams, absorbing a large share of their daily attention. Datastory integrates with both: teams can receive their daily performance summaries in Slack channels, get anomaly alerts in near real time, and read mobile‑friendly snapshots in WhatsApp that can be forwarded to founders, clients, or managers in a tap.
On its website, Datastory highlights customer results such as a 72% reduction in reporting time and a 38% improvement in ad ROAS in the first month for an e‑commerce brand that shifted from manual reporting to automated insights, as well as a 29% lift in launch conversions for a luxury jewelry brand that unified GA4, Ads, and CRM data through the platform. Another client, a textiles brand, reports a 41% cut in marketing waste and doubled repeat orders after adopting WhatsApp‑delivered insights as part of its daily decision process. These figures line up with broader industry commentary that better data integration and more frequent measurement can materially improve marketing ROI.
Datastory’s launch taps into a wider shift in analytics from static dashboards to AI‑driven, narrative‑first tools. Analysts note that businesses can no longer rely on teams to manually stitch together insights from multiple platforms when they are already overloaded with data and short on time. By positioning itself as an “AI that reads your data so you don’t have to,” and by delivering insights into channels where teams already work, Datastory is betting that the future of analytics will be less about visiting dashboards and more about having the data talk back to you—every day.
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