Used For

• +**Your sales team calls every lead and converts 2%** → Akkio scores leads by conversion probability, you call the top 20% and hit 15% conversion
• +**You're manually analyzing which Facebook ads work and burning $5K/month on duds** → Predicts which creative elements drive conversions before you waste the budget
• +**Customer churn sneaks up on you until they're already gone** → Flags at-risk customers 60 days early so you can actually save them
• +Chat with your data in plain English - ask "which customers spend the most" without learning SQL
• +Connects to everything (Google Ads, Salesforce, HubSpot) and updates predictions automatically as new data flows in

Best For

• >Marketing agencies drowning in campaign data who need client-ready insights without hiring a data scientist
• >Sales teams guessing which leads to call first instead of knowing which ones will actually buy
• >Small business owners with gut feelings who want numbers to back up their hunches

Not For

• -Teams with 5+ data engineers who can build custom machine learning pipelines in Python - you're paying for simplicity you don't need
• -Tiny budgets under $500/month - the ROI math doesn't work until you're spending real money on leads or ads
• -Companies wanting highly specialized AI models - this handles common business predictions, not cutting-edge research

Pairs With

• *HubSpot (where your lead scores get pushed so sales reps know who to call first)
• *Google Ads (connects directly to feed campaign data and get predictions on which ads will tank)
• *Salesforce (syncs predictions back to your CRM so they actually get used instead of living in another dashboard)
• *Google Sheets (because half your data still lives in spreadsheets and Akkio pulls from there too)
• *Slack (where predictions get posted so your team sees "high-value lead just signed up" notifications)
• *Snowflake (for companies with data warehouses who want predictions without building ML infrastructure)

The Catch

• !Your data needs to be clean and structured first - garbage in, garbage predictions out, even with AI magic
• !Setup involves connecting multiple data sources and mapping fields, which takes longer than the "minutes" they claim
• !No specific pricing listed anywhere - always a red flag that means "call for enterprise quote" even for small teams

Bottom Line

ChatGPT for your spreadsheets that actually predicts the future instead of just summarizing the past.