DataMarketer

AI data analyst for questions about your marketing numbers

An AI data analyst gives your team a way to investigate performance without beginning every question in a spreadsheet. Ask DataMarketer a marketing question in plain English and get an answer with the table behind it. Inspect the source context, review tracking health and decide what the evidence supports.

Run free audit See pricing

Ask what changed without writing a query

DataMarketer answers plain English questions about connected marketing performance and shows the supporting table. Ask why a metric moved, which campaigns contributed to the change or whether the revenue picture agrees with the advertising reports. A clear question names the metric, channel and reporting period so the answer addresses the decision you face.

Ask "why did Meta CPA rise last week" to start an investigation. Read spending and recorded conversions together before accepting an explanation. CPA can rise because spend increases, conversions decline or both. Tracking failures can also change the recorded conversion total without representing the same change in business demand.

Follow up with the comparison that matters to your decision. Ask about campaigns, landing pages or the period before the movement. Keep the underlying conversion definition consistent. The analyst helps you inspect the change; it does not turn a correlation into proof of a cause. Use digital marketing analytics for the broader channel context.

Follow the answer back to the supporting data

Answers cite the connected data used in the analysis and include a table you can inspect. Review the source, reporting period and metric definitions before acting on a conclusion. DataMarketer makes the evidence part of the answer so your team can challenge an interpretation rather than relying on an unexplained statement.

For a CPA question, inspect the spending and conversion records behind the ratio. For a revenue question, establish whether the answer uses platform claims, store records or CRM outcomes. The citation needs to support the specific claim being made. A source reference alone does not establish that the selected period or attribution rule fits the question.

Compare the answer with known business changes, incomplete periods and tracking signals. Ask a narrower follow-up if the original question combines incompatible sources or outcomes. Use multi touch attribution to review credit assignment and roi tracking to inspect cost and revenue definitions before presenting the explanation to colleagues.

Use questions that lead to an inspectable comparison

Useful analyst questions connect a specific change with the records needed to understand it. Name the outcome, time period and comparison you want to inspect. DataMarketer supports that investigation with the table behind the answer, while your team supplies business context such as promotions, inventory constraints or changes in campaign goals.

Example questions

  • Why did Meta CPA rise last week compared with the previous week?
  • Which Google Ads campaigns account for the change in recorded conversions?
  • How does store revenue compare with revenue claimed by Meta and Google?
  • Which landing pages show falling conversion rates during the same period?
  • How do new customer revenue and returning customer revenue differ this month?
  • Where does current spending pace point at month end?
  • Which tracking signals need review before we discuss the channel results?

For purchase questions, e commerce analytics explains the revenue foundation and customer split. For pacing and estimated outcomes, predictive marketing analytics explains why a projection needs a range and assumptions. Treat the question list as a way to focus your review, then inspect whether the connected records can answer it.

Keep interpretation separate from campaign changes

DataMarketer uses read-only connections and never changes campaigns. The analyst explains connected evidence, supports comparisons and helps your team decide what to investigate. It does not edit bids, budgets, targeting or tracking configuration. Your team reviews the recommendation, checks business constraints and makes any change in the relevant account tools.

An answer is limited by the available data and the question asked. Missing events, overlapping platform claims, short history and inconsistent definitions restrict what a table can explain. Do not treat a polished explanation as proof that the inputs are complete. Check the tracking signals and the source records when the conclusion affects a significant budget decision.

A ga4 audit gives you a starting point for measurement review before connecting account analysis. The marketing reporting tool brings agreed conclusions into weekly briefs and plan-appropriate reports. For access and handling questions, review marketing data security before inviting colleagues into the analysis workflow.

Choose your monthly question allowance

Starter includes 50 AI analyst questions per month, Growth includes 300 and Scale includes 1 500. Choose the allowance alongside your connected sites, advertising accounts, history and seats. A team's recurring investigation workload matters more than a question count alone, particularly when several colleagues need to review the same evidence.

Starter includes 1 site, 3 advertising accounts, 1 seat and 6 months of history. Growth includes 3 sites, 10 advertising accounts, 5 seats and 24 months. Scale includes 25 sites or client workspaces, unlimited advertising accounts, 20 seats with roles and permissions, and 36 months of history. Monitoring runs daily, hourly or every 15 minutes respectively.

Yearly billing is the default view and saves 50 percent. Starter is 24 USD per month billed 288 USD yearly, or 49 USD monthly. Growth is 74 USD per month billed 888 USD yearly, or 149 USD monthly. Scale is 249 USD per month billed 2 988 USD yearly, or 499 USD monthly. Compare the marketing analytics platform before choosing.

Starter

For a solo marketer.

24 USD per month, billed yearly at 288 USD

or 49 USD billed monthly

Growth

For a growing team or brand.

74 USD per month, billed yearly at 888 USD

or 149 USD billed monthly

Scale

For agencies and multi-brand teams.

249 USD per month, billed yearly at 2 988 USD

or 499 USD billed monthly

See pricing

Questions about the AI data analyst

Do I need SQL to ask a question?

No. Ask in plain English and name the metric, channel and period you want to understand. DataMarketer returns an answer with the table behind it. Inspect the source context and definitions before deciding what the answer supports, then ask a more focused follow-up if the original comparison needs clarification.

How does an answer cite its evidence?

An answer cites the connected data used in the analysis and presents the supporting table. Review the source, reporting period and metric definition against the claim. The citation helps your team inspect the reasoning, but it does not remove uncertainty caused by missing records, attribution differences or an incomplete reporting period.

How many questions does each plan include?

Starter includes 50 questions per month, Growth includes 300 and Scale includes 1 500. Choose the plan alongside your seats, history and connected account needs. Follow-up questions also use the monthly allowance, so consider the investigation workflow your team expects rather than comparing the headline question limit in isolation.

Can the analyst change bids or pause campaigns?

No. DataMarketer uses read-only access and never changes campaigns. The analyst can explain connected performance evidence and support your investigation, while your team decides whether action is justified. Any changes to bids, budgets, targeting or tracking remain with the people and account tools responsible for those settings.

Does a cited answer prove what caused a change?

No. A cited answer shows the data behind an interpretation. A relationship in the records does not establish causation by itself. Review tracking health, reporting definitions and relevant business changes before deciding what explains the movement. Use the answer to focus investigation and assess the evidence your decision still needs.

Bring your next marketing question to the evidence

Create your account to connect marketing data, ask a focused question in plain English and inspect the answer with its supporting table so your team can evaluate the source records, discuss the interpretation and decide what needs attention before making a change to a campaign.

Run free audit