Marketing agencies and CMOs don’t just need data analysis.
They need to turn raw spreadsheets into something client-ready, executive-ready, and shareable fast.
That’s the real bottleneck.
KashifData takes a dataset and turns it into:
- smart KPI detection
- accurate insights and recommendations
- polished visuals
- a shareable live report (This is a usecase of an Email campaign dataset https://kashifdata.online/report/yZcy_VmBA-eqKvo8 )
- a downloadable PPTX presentation
So the workflow becomes:
spreadsheet -> insight -> report -> presentation
instead of hours of manual analysis, formatting, slide building, and back-and-forth.
For agencies, that means faster client delivery.
For CMOs, that means faster reporting and clearer decisions.
For both, it means less time building decks and more time acting on the data.
Most tools help you analyze.
KashifData helps you finish the job.
#buildinpublic #indiehackers #marketingagency #cmo #saas #analytics #pptx #reporting #ai
Intressting !
thanks badi
This solve a large pain point for Marketing agencies and i think its really unprecedented with its features : like the pptx and the shareable reports ... Awesome !
Thanks Walter
The "spreadsheet → shareable report" flow solves a real pain point, especially for agencies managing multiple clients with varying data formats.
One thing worth thinking about as you scale: the LLM KPI detection works well on clean, structured data — but production spreadsheets from clients are often messy. Inconsistent column names, merged cells, manually entered totals mixed with row-level data. A validation/pre-processing layer before the AI step could prevent confident-looking but wrong insights from reaching clients, which is where trust breaks down fast.
Also curious about the live report refresh story — when the underlying spreadsheet changes, does the report update automatically? That's usually the question clients ask second, right after "can you make this shareable."
Yes, making it look right is the hardest part. As a data scientist I found it more harder to present the findings well than actually finding it from massive amounts of data
I,m trying it currently, isn’t it a bit slow?
Yeah it was .. now its better
The "spreadsheet to presentation" gap is real and massively underserved. Most analytics tools assume the hard part is the analysis — but for agencies the hard part is always the last mile: making it look right, fast, for a client who doesn't care how you got there. Curious how you're handling datasets where the KPI structure isn't obvious — does the smart detection work well on non-standard schemas?
Thanks Manjula
Yeah concerning the Kpis , first of all the LLM detect the type of dataset ( if its Sales, Marketing , fianance or whatever ) and then provide the convenient Kpis and insights based on the the datasets field ..
"Founders couldn't read their own data fast enough" — that's the real insight buried in the About section. The bottleneck was never the analysis, it was the time between data and decision.
The shareable live report angle is smart for the agency use case specifically. A CMO doesn't want a dashboard login; they want a link they can forward in a Slack message before the Monday call.
Building RecebeZap — payment reminder automation for Brazilian freelancers. Different market, same root problem: most tools give you the raw data (who paid, who didn't) but stop there. The freelancer still has to figure out what to do next. The "finish the job" framing is going into how I describe what RecebeZap does.
Good luck with the launch, Sidimed 🚀
Thanks .. hope you good luck with RecebeZap
this is beyond what most tools offer today! Awesome
This hits a real pain point. In BI consulting I see it constantly — the analysis is solid but the last mile to a client-ready deck eats hours every week. Power BI and Tableau are great for internal dashboards but genuinely poor for "just send the client a polished report," which is exactly the gap you're addressing.
The spreadsheet → insight → report → presentation flow is the right abstraction. Agencies especially feel this because they're doing it across 10+ clients simultaneously, and the formatting/slide-building overhead compounds fast. CMOs want the story, not the pivot table.
If you're scaling the data processing side and hitting SQL performance questions as datasets grow, I put together a free query optimization guide that might be useful: https://growthwithshehroz.gumroad.com/l/psmqnx
Thanks Muhammed
شكراً
Happy to help, Sidimed! The gap between 'here's the analysis' and 'here's a client-ready report' is way bigger than most people realize until they're racing a deadline at 11 PM. Great product solving a real pain.
If you're ever curious about the SQL query optimization side as KashifData scales, I also have a free SQL Server Interview Q&A that doubles as a solid practical reference: https://growthwithshehroz.gumroad.com/l/vgiex 🙌
The live report you mention is so powerful ! How it present the visuals, predective and prespective .. this sounds like a full cheap data scientist in your pocket
Thanks sidos