# Built for the teams that need it most ChartStud is an AI-powered analytics platform that turns raw data into actionable insights. See how it solves real problems for your team. ## Digital Marketing Teams ### The Daily Struggles - Data scattered across Google Ads, Meta, LinkedIn, TikTok - Manual Excel reporting takes 5–10 hours/week - Hard to prove ROAS to stakeholders - Missed optimization opportunities due to delayed insights - No time for deep analysis when reports consume the day ### How ChartStud Solves This ChartStud connects all your ad platforms into a single dashboard with real-time sync. AI automatically surfaces what's working, what's not, and what to do next — so you can stop pulling CSVs and start optimizing campaigns the moment data comes in. ### Key Features for Digital Marketing Teams #### Multi-Platform Data Sync Connect Google Ads, Meta, LinkedIn, TikTok, and more in under 60 seconds. All campaign data flows into one unified view automatically. #### AI-Generated Performance Summaries Get plain-English summaries like "Meta CPA increased 34% — Creative A is fatiguing" delivered daily without lifting a finger. #### Automated ROAS Reporting Stakeholder-ready reports generated automatically. Prove ad spend ROI with clear, visual dashboards your leadership team will actually understand. #### Real-Time Anomaly Alerts Get notified instantly when a campaign underperforms or a creative starts fatiguing — before you burn through budget. ### ROI at a Glance - **8–10 hrs**: Hours saved on reporting per week - **7 days → real-time**: Faster time to insight - **Up to 28%**: Reduction in wasted ad spend - **$2,000–$4,000**: Monthly value of time saved ### Real-World Example: E-Commerce Marketing Team **Before ChartStud** - Export CSVs from 4 ad platforms every Monday - Spend 4+ hours building weekly report in Excel - Underperforming campaigns run a full week before anyone notices - CEO asks follow-up questions that take another hour to answer **After ChartStud** - All platforms sync automatically — no more CSV exports - AI surfaces daily insights: which campaigns to scale, which to pause - Anomaly detection catches budget waste within hours, not days - Leadership checks live dashboard instead of waiting for weekly deck ### Common Questions - "We already use Google Analytics and platform-native reporting." - "Our team is comfortable with Excel." ## Data Analysts & BI Professionals ### The Daily Struggles - Stakeholders constantly ask for new charts and one-off reports - Building dashboards from scratch every time - Explaining data in plain English takes time - Juggling multiple tools (Tableau, Power BI, Excel) - Ad-hoc requests disrupt deep analytical work ### How ChartStud Solves This ChartStud gives your stakeholders self-serve analytics powered by AI — so they can answer their own questions in plain English. You get freed from the ad-hoc request queue and can focus on strategic analysis, modeling, and data quality. ### Key Features for Data Analysts & BI Professionals #### Self-Serve Analytics for Stakeholders Non-technical users can ask questions in plain English and get instant, accurate charts and answers — without filing a ticket with your team. #### AI-Powered Chart Generation Automatically generates the right visualization for any dataset. No more building charts from scratch or debating chart types in meetings. #### Natural Language Explanations Every chart comes with a plain-English summary. Stakeholders understand what the data means without needing you to translate. #### Governed Data Layer Business users see clean, curated metrics — not raw database tables. You maintain control over data quality while empowering self-service. ### ROI at a Glance - **60%**: Reduction in ad-hoc requests - **3x faster**: Time from question to answer - **12–15 hrs**: Hours saved per analyst per week - **$3,000–$5,000**: Monthly value per analyst ### Real-World Example: BI Team at a Mid-Size SaaS Company **Before ChartStud** - 15+ ad-hoc requests per week from sales, marketing, and leadership - Each request takes 30–60 minutes to pull data, build chart, and explain - Backlog of strategic projects keeps growing - Stakeholders wait days for simple lookups **After ChartStud** - Stakeholders get answers in seconds via natural language queries - 60% fewer tickets in the analytics queue - Analysts reclaim 12+ hours/week for modeling and strategic work - Data literacy improves across the entire organization ### Common Questions - "We already have Tableau / Power BI." - "Will this replace our data team?" - "Can non-technical users really use it?" ## Marketing Agencies ### The Daily Struggles - Managing multiple clients with different data needs - Manual markup of costs per client (hiding real numbers) - Building weekly/monthly reports for each client - Client questions and back-and-forth emails - Proving value to retain clients long-term ### How ChartStud Solves This ChartStud lets agencies manage all client accounts from one platform. Set up white-labeled dashboards with custom cost markups, automate weekly reports, and give clients a portal where they can see results in real time — reducing email back-and-forth and proving your value every single day. ### Key Features for Marketing Agencies #### Multi-Client Dashboard Management Manage all your clients from a single workspace. Switch between accounts instantly, with each client's data securely isolated. #### White-Label Reports with Cost Markup Generate branded reports that show clients only what you want them to see. Apply custom cost markups without exposing your real margins. #### Automated Client Reporting Schedule weekly or monthly reports that generate and deliver automatically. Stop spending Sunday nights building decks. #### Client-Facing Live Dashboards Give clients access to a live, read-only dashboard. They see real-time results without needing to email you for updates. ### ROI at a Glance - **8–12 hrs**: Hours saved per client per month - **70%**: Client emails reduced by - **5–10**: Additional clients manageable without new hires - **$5,000–$10,000**: Monthly revenue impact (10 clients) ### Real-World Example: Digital Marketing Agency with 15 Clients **Before ChartStud** - Account managers spend 2–3 hours per client building monthly reports - Clients email weekly asking for performance updates - Agency hides costs via manual Excel adjustments — error-prone and slow - Scaling beyond 15 clients requires hiring another account manager **After ChartStud** - Reports auto-generate with branded templates and custom markups - Clients check live dashboards — email questions drop 70% - Agency scales to 25 clients without additional headcount - Client retention improves because value is visible every day, not just monthly ### Common Questions - "We already have a reporting process that works." - "Can clients see our costs?" - "What if clients need different metrics?"