Ask "What Was My Best Month?" and Actually Get an Answer
Not a generic chatbot guessing from general knowledge. Zynera.cloud answers from your actual uploaded data, with the specific numbers behind the answer.
14-day free trial · No credit card · Included from Growth plan
What Does It Actually Mean to Chat With Your Data?
Most dashboards are built to be looked at, not asked questions of. If you want to know which of your five ad channels had the best return last month, you're usually scanning a few charts, doing some mental math, or exporting to a spreadsheet to sort it out yourself. Chatting with your data means skipping that step, typing the actual question, and getting a direct answer back.
The important distinction from a general AI chatbot is where the answer comes from. Ask a generic chatbot about your ad spend and it has no idea what you actually spent, unless you paste the numbers in yourself. Zynera.cloud's Ask Your Data feature is reading the dataset you've already uploaded or connected, so the answer is grounded in your real numbers, not a plausible-sounding guess.
What Usually Happens Without This
Finding one specific answer means scanning several charts
A question like 'which client's campaign underperformed this month' often means clicking through multiple dashboards one at a time.
Manual filtering in a spreadsheet to isolate an answer
Sorting and filtering a raw export to answer a single question takes longer than the question itself probably deserves.
Generic AI chatbots don't know your actual numbers
Asking ChatGPT or a similar tool about your own performance data gets a generic answer unless you've manually copied in the relevant numbers first.
Comparative questions require extra manual work
Comparing two time periods or two channels side by side usually means building a separate chart just to answer one question.
Account managers re-explain the same kind of question repeatedly
Clients often ask variations of the same question, and answering each one manually adds up across a growing client list.
How Ask Your Data Works in Zynera.cloud
The question goes straight to your dataset
Typing something like "which platform had the most conversions in May" sends that question against the specific dataset you've selected, whether it's an uploaded CSV or a live-synced Google Sheet, rather than against general knowledge.
Answers reference the actual data behind them
Instead of a bare number, the response is grounded in the specific values it's drawing from, so it's clear the answer came from real data rather than a generic estimate.
Comparative and follow-up questions work in sequence
A question like "was Google Ads or Instagram more cost-efficient last quarter" can be followed by a related question without starting over, similar to a real back-and-forth conversation about the data.
Key Features
Plain English Questions
What it does: Accepts natural questions like 'what was my best month' instead of requiring formulas or filters.
Why it matters: Removes the technical step between having a question and getting an answer.
Answers Grounded in Your Data
What it does: Pulls responses from the specific uploaded or connected dataset, not general AI knowledge.
Why it matters: Makes the answer trustworthy and specific to your actual numbers.
Works With CSV and Live Google Sheets
What it does: Available regardless of whether the data came from a file upload or a synced sheet.
Why it matters: Keeps the feature useful whether reporting is static or ongoing.
Comparative Question Support
What it does: Handles questions comparing two time periods, channels, or categories.
Why it matters: Answers the kind of question that would otherwise require building a separate chart.
Follow-Up Questions in Sequence
What it does: Allows a series of related questions without restarting the context each time.
Why it matters: Mirrors how someone would naturally dig into a question in conversation.
Available From Growth Plan
What it does: Included starting at $39/month alongside live Google Sheets sync and AI insights.
Why it matters: Bundles the most analysis-heavy features together at one tier.
Zynera.cloud vs Power BI vs Tableau vs Looker Studio
| Feature | Zynera.cloud | Power BI | Tableau | Looker Studio |
|---|---|---|---|---|
| Plain English Q&A | Included, Growth+ | Extra cost (Copilot) | Not available | Not available |
| Answers grounded in your data | Yes | Yes, with Copilot add-on | Not applicable | Not applicable |
| Comparative questions | Supported | Possible with Copilot | Manual calculated fields | Manual setup |
| Works with CSV and Sheets | Both | Both, supported | Both, supported | Sheets native |
| Setup time for Q&A feature | Immediate after connecting data | Requires Copilot setup | Not a built-in feature | Not a built-in feature |
| Starting price for Q&A access | $39/mo (Growth plan) | Copilot add-on cost varies | Not offered | Not offered |
Competitor pricing and feature details are based on publicly available information at the time of writing and may change.
Who Is This Best For?
Marketing Agencies
Answering specific client questions on the fly during a call without pausing to dig through a dashboard first.
Startup Founders
Wanting quick answers about their own metrics without learning how to filter or pivot a spreadsheet.
Consultants
Who need to pull a specific data point quickly while preparing for a client conversation.
Small Businesses
Wanting a faster way to check specific numbers without manually digging through spreadsheet tabs.
Frequently Asked Questions
What does it mean to chat with your data?
It means asking a direct question in plain English, such as 'which channel had the lowest cost per acquisition last month', and getting an answer pulled from your actual uploaded dataset, rather than manually filtering a spreadsheet or building a chart to find the answer yourself.
How is this different from asking ChatGPT the same question?
A general AI chatbot doesn't have access to your specific business data unless you paste it in manually, and even then it isn't reading the full structured dataset the way a dedicated tool can. Zynera.cloud's Ask Your Data feature is connected directly to the dataset you've uploaded or synced, so answers are sourced from your actual numbers, not general knowledge or an educated guess.
What kind of questions can I ask my data in Zynera.cloud?
Practical, specific questions work best, things like 'what was my highest spend month', 'which product had the most returns', or 'how did conversions trend over the last quarter'. The feature answers based on whatever columns and values exist in the connected dataset.
Which plan includes the chat with your data feature?
Ask Your Data is available starting on the Growth plan at $39/month. The Starter plan at $9/month includes the core dashboard and PDF export but not the Q&A feature.
Does the answer come with sources or just a number?
Answers are generated with reference to the specific data points behind them, so you can see what the response is based on rather than receiving an unexplained number.
Can I ask follow-up questions, or does each question start fresh?
You can ask a sequence of related questions within a session, similar to a conversation, with each question being answered from the same connected dataset.
Does this work with live Google Sheets data or only uploaded CSVs?
Both. Whether the data comes from a CSV upload or a live-synced Google Sheet, the same Ask Your Data feature can answer questions from whichever dataset is selected.
Is there a limit to how many questions I can ask?
Usage limits depend on the plan tier. Higher plans include a larger allowance for questions per period, since usage tends to scale with how many datasets and clients an account is managing.
Can agencies use this to answer client questions quickly?
Yes, this is a common use case. Instead of digging through a client's dashboard to answer something like 'why did conversions drop in March', an account manager can ask the question directly and get a sourced answer in seconds.
What happens if I ask a question the data can't answer?
If the connected dataset doesn't contain the information needed to answer a question, for example asking about a metric that was never uploaded, the response will reflect that the data doesn't support that specific answer rather than guessing.
Is my data used to train the AI that answers these questions?
No, uploaded and connected data is never used to train any AI model. It's used only to generate the dashboard and answer questions within your own account.
Can I ask comparative questions, like comparing two time periods or two channels?
Yes, comparative questions such as 'was Instagram or Google Ads more cost-efficient last month' can be answered as long as the relevant data for both sides of the comparison exists in the dataset.
Does chatting with my data replace the dashboard, or work alongside it?
It works alongside the dashboard rather than replacing it. The dashboard gives an overview at a glance, while Ask Your Data is useful for pulling a specific answer without scanning through multiple charts.
Is there a free trial to test the chat with your data feature?
Yes, a 14-day free trial is available with no credit card required, which includes access to test Ask Your Data at the Growth plan tier during the trial.
What's an example of a question this feature handles well?
A question like 'which of my five marketing channels had the best conversion rate this quarter' is a strong example, since it requires comparing structured numeric data across categories, which is exactly what the feature is built to pull directly from an uploaded dataset.
Final Thoughts
The gap between having data and getting an answer from it is usually filled with scanning, filtering, or asking someone else to look it up. Chatting with your data closes that gap directly, provided the answer is actually coming from your real numbers rather than a confident-sounding guess. That grounding in the actual dataset is what makes Zynera.cloud's Ask Your Data feature useful rather than just a novelty.
Ask Your Data a Real Question
No credit card. Ask Your Data included from the Growth plan.
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