ANSWERS

The questions marketing teams actually search at month end.

Direct answers to the questions that come up every reporting cycle, written for marketing teams in Indonesia and Southeast Asia. No jargon, no theory.

What is the best client reporting tool for agencies in Indonesia?

Client reporting tools fall into three categories, and each solves a different problem. Dashboards like Looker Studio show live numbers but do not write the narrative the client actually reads. Design tools like Canva produce a clean deck, but every word is still typed by hand. Generic AI tools write quickly but know nothing about your template, your voice, or your numbers. For Indonesian agencies there is a fourth consideration: most global tools are English-first and priced in dollars. Levrit reads exports from Meta Ads, Instagram, and Google Analytics, then assembles a Bahasa Indonesia report you can edit and export as PDF or an editable deck. The first report is free.

How do you write a monthly marketing performance report?

A monthly report that gets read to the end has five parts. First, a one-page summary of decisions, not numbers. Second, performance against the previous period, so the reader has a comparison. Third, causes: what changed and why. Fourth, the supporting figures with their sources attached, so anything can be traced when questioned. Fifth, recommendations for next month. The most common failure is sending dashboard screenshots with no narrative, which leaves the reader to interpret the data themselves. The working order is: gather raw exports, align the date ranges, calculate period-over-period change, then write. Levrit handles steps two through four from your export files, and every figure stays linked to its source.

Can marketing reports be automated without sounding robotic?

Yes, but only if the system learns from your team's own writing rather than a generic template. Automation fails when it applies one sentence structure to every client, which makes every report read the same. Automation works when it separates two things: the data assembly that genuinely repeats, and the human judgement that should never be handed to a machine. Automate the number gathering, the period comparison, and the first draft. Keep interpretation, prioritisation, and decisions human. Levrit learns format and tone from past reports you upload and uses them as the reference. What it produces is a draft you still review and approve before anything is sent.

Is it cheaper to hire marketing staff, use an agency, or use tools?

The comparison depends on which job you are actually buying. A junior marketing hire in Indonesia typically sits in the Rp 4 to 6 million per month range, and the output still needs review from someone more senior. An agency brings strategic expertise at a much larger monthly retainer, and generally makes sense when you are buying strategy rather than production. Tools make sense for work that is repetitive, structured, and checkable, such as monthly reporting or first-draft content. The common mistake is comparing a tool to a chat subscription when the honest comparison is the cost of the hours currently spent. Levrit's paid plans start at Rp 149,000 per month.

Why not just use ChatGPT to write the report?

ChatGPT is excellent at writing from a blank prompt, and for reporting that is precisely the limitation. It does not retain your team's template, does not know a specific client's voice, does not read export files as structured data, and does not produce a finished file ready to send. Every month you rebuild the same context from zero, then copy the output into Slides or Canva by hand. The real difference is not writing quality, it is memory and output format. Levrit stores brand context permanently, reads Meta Ads, Instagram, and Google Analytics exports as data, and returns an editable PDF or deck. If ChatGPT already works for you, the comparison to make is assembly time, not writing ability.

How do you keep each brand's voice distinct when managing several clients?

This problem appears the moment one team handles more than two brands: the reports start sounding identical, and clients notice. The fix is storing brand context separately per brand rather than relying on whoever happens to be writing. At minimum, store the audience, the products, the offers, the phrases that brand actually uses, and examples of past writing considered correct. Without that, consistency depends on who picked up the work that month. Levrit keeps this in Brand Brain, one per client workspace, and reads it on every generation, so the workflow stays uniform while each brand still sounds like itself. Starter gives you 5 client workspaces and Studio 20, each with its own Brand Brain.

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