For startups and small teams
Connect Shopify, QuickBooks, spreadsheets, and your database, then ask questions in plain English and get answers in seconds. No SQL, dashboards, or data team required.
Most analytics tools are built for analysts. We write for everyone else: founders and operators at startups and small businesses.
Three ways in, depending on what you need right now.
The definitive resources for choosing analytics tools when you do not have a data team. Start here.
You open your laptop on Monday morning, and the first task is already manual: pull last week's sales from Shopify, match them against ad spend in
Read the guide → Pillar guideMost "affordable analytics" lists rank tools by sticker price alone, but subscription cost is only a fraction of what small teams actually spend to get answers
Read the guide → AnalyticsIt's 9 a.m. on a Tuesday. You open your laptop to the same question you have most mornings: how is the business doing? Revenue up
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Every business owner has been told to track their key performance indicators (KPIs). Almost nobody gets told which ones to cut. The result: businesses that track 30 metrics and act on two of them. Or businesses that track nothing and run on gut feel until something goes wrong. Neither approach
You had a good month. Shopify says $50,000 in sales, up 10% from last quarter. So you increase your ad budget, reorder your best seller, and plan a promotion. Next month the top line looks even better, but your bank balance tells a different story. Shipping costs spiked, returns
"What were our top-selling products last quarter?" For most small and mid-sized businesses (SMBs), answering that question means exporting data from Shopify, opening a spreadsheet, building a pivot table, and hoping the numbers match what someone else pulled last week. The whole process takes an hour
Small and mid-sized businesses looking for analytics tools face a real choice. ThoughtSpot is built to query cloud data warehouses such as Snowflake, Databricks, and Redshift. AnalysisGPT connects directly to the databases, spreadsheets, and business apps that SMB operators already use. AnalysisGPT answers questions from a live Shopify store,
You have a business question. You want to know why revenue dropped last quarter, or which products have the best margin, or whether your last marketing campaign actually moved the needle. The answer is in your data. But your data is in QuickBooks, Shopify, Google Sheets, and maybe HubSpot - and
You open your laptop on Monday morning, and the first task is already manual: pull last week's sales from Shopify, match them against ad spend in a separate dashboard, then cross-reference inventory counts in a spreadsheet someone emailed Friday. By 9am you've touched four tools
Power BI alternatives for non-technical teams Power BI is built for organizations with dedicated data modelers, analysts fluent in DAX, and IT teams managing on-prem gateways. Most SMBs searching for alternatives don't have those resources. They have a founder toggling between QuickBooks and Google Sheets, an
Most small teams don't need what Sisense is selling Seven analytics tools handle the work most small teams need, at a fraction of the cost and complexity Sisense charges for. Sisense starts at $399/month and scales to $1,299/month on a credit-based model built around
Most Shopify analytics apps solve one problem well but leave operators combining separate tools manually Most Shopify analytics apps specialize in one category (attribution, profit tracking, or behavior analysis), which means store owners end up managing three tools to get one complete picture. Shopify's built-in reports tell
Today we're launching Xero, Square, and Stripe connections in AnalysisGPT. You could already connect Shopify, Klaviyo, QuickBooks, and your databases. Now your payments and accounting data joins them, so the things that matter most (fees, payouts, refunds, what the books actually say) are there for you to ask
Most startups under $5M in annual revenue do not need a business intelligence (BI) platform yet. (For subscription businesses, read "$5M" as $5M ARR, or annual recurring revenue.) They need BI when reporting becomes recurring, multi-source, team-wide, and slow enough to affect decisions. Before that point,
Every article about data-driven decisions opens the same way. There's a McKinsey statistic. There's Netflix deciding to commission House of Cards based on 30 million viewing patterns. There's a flowchart with five steps. None of it shows you what a data-driven decision
AnalysisGPT is conversational analytics for teams without a data team. Connect Shopify, QuickBooks, your database, and ad platforms, then ask questions in plain English and get answers in seconds, no SQL or dashboard-building involved. This blog is where we share what we learn about doing analytics well at a small company.