Data analytics companies · Content marketing
Write for the manager who has the numbers but not the time to read them.
Content marketing for an analytics firm means articles, case studies and sample reports that answer a buyer's question before any call. GullySales plans and edits that content so each piece points to a use case and a sensible next step.
Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

What content marketing means
Content marketing is writing articles, guides and pages that answer the questions buyers search before they are ready to enquire. This makes your business visible and trusted before the first call. GullySales plans this content from the first conversation onward, choosing topics that match real search demand rather than guesses.
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Sales and marketing for data analytics companies, the overview.
Last updated 18 Oct 2026.
For data analytics companies
Where it usually goes wrong, and what we would do.
“Case studies describe the stack, not the question”
A write-up that opens with the warehouse and the data volume loses the owner. One that opens with why dealer orders fell, and what the dashboard showed, holds them to the end.
“Explainers rarely name the data needed”
Buyers wonder what they must hand over. A piece that lists the files and systems required, such as Tally exports or an ERP report, answers the unspoken fear that their data is too messy.
“Technical depth suits only some readers”
A finance head wants the decision and the caveat. A technical lead wants the pipeline. One article cannot serve both, so each piece should be written for one reader and say so in its opening.
“Old content stops matching the offer”
A post about a tool the firm no longer uses, or a service it stopped selling, confuses a buyer. A yearly review of what stays, changes or goes keeps the library honest.
What we do
What we deliver for data analytics companies.
Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.
Content plan by question
A list of articles and case studies, each tied to a business question and a function, with the reader named.
Result: Every piece has a buyer in mind and a place to link to.
Question-first case studies
Project stories structured as the question, the data used, the screen built and what the client decided.
Result: A prospect finds a story that resembles their own problem.
Data-readiness guides
Plain guides on what files and systems a project needs and how a messy sheet is handled in the first stage.
Result: The fear of a messy dataset is answered before the call.
Sample reports to download
A finished report on invented figures, offered in exchange for a name and function.
Result: Interested readers identify themselves and show what they care about.
Content review sheet
A record of each piece, its last check and whether it still matches the services you sell.
Result: Out-of-date content is found and fixed before a buyer sees it.
How the result is measured
- Pages published
- Organic traffic
- Enquiries from content pages
Recorded as a baseline before work starts, so every later report has an honest comparison.
Posts and pieces to plan
Write for the manager who owns the numbers, starting from the question and ending with the data it needs.
- A case study written around the question
- Begin with why repeat orders fell and what was decided, then name the tools last, with the client's agreement.
- What data a collections dashboard needs
- A readiness guide listing the invoice fields and dates the finance team must have before the work starts.
- Why the first pilot should be small
- An explainer on scoping one function and one decision, which prepares an owner for the conversation about scope.
- Sample report for a distributor
- A downloadable report on invented numbers, with notes on what each section would tell the reader.
- What happens after go-live
- A page on who opens the dashboard and when, since use after delivery is what the buyer worries about.
- Excel or a dashboard: which to use when
- A fair comparison that respects the in-house spreadsheet expert, who may be the reader of the page.
Who it is for
This is written for these data analytics companies.
- Business intelligence and dashboard consultancies
- Sales and marketing analytics specialists
- Retail and distribution analytics firms
- Manufacturing and operations analytics providers
- Finance and collections analytics specialists
- Customer churn and segmentation analysts
- Data engineering and warehouse build firms
- Forecasting and demand planning specialists
Not for
It is not the right fit if.
- You have not delivered a project whose question and decision you can describe, so there is no honest case study to write yet.
- The firm changes its offer every few months, and long pieces would soon describe a service you no longer sell.
How it works
How the content marketing work runs
The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.
- 1
Agree the plan
Topics and formats come from the content strategy and the buyer-question list. The volume goes into the written scope, agreed with you, not into a number quoted on a call.
- 2
Brief and draft
Each piece starts from its one-page brief and a short conversation with your technical person, recorded if they allow it, so the draft uses their words.
- 3
Check the facts
Your person marks the draft for accuracy and we correct it. Regulated subjects also go to your own adviser, because restrictions on claims apply to articles as much as to advertisements.
- 4
Publish and distribute
The piece goes live on your site, then out through the channels where your buyers already are.
- 5
Read the enquiries and adjust
Results are reported against the baseline recorded before work began. Topics that brought readers but no enquiries are changed or dropped. How often you are reported to is agreed in writing.
Where this fits
Three pieces of sales work, in this order.
This work sits inside sales process design, at stage 0, foundation. The audit comes before it, and sales management keeps it running.
Step 1
Sales audit
Find where deals are being lost and what to fix first.
Start here if you cannot say where orders are lost.
Step 2 · you are here
Sales process design
One written way to sell, from first enquiry to repeat order.
Start here if every salesperson sells differently.
Step 3
Sales management
A target, a review routine and someone who owns the number.
Start here if the team has targets and no routine.
FAQ
Questions owners ask before they call.
Not here? More answers, or ask on WhatsApp.
Who should write the articles?
Can we publish a case study without naming the client?
Is a blog worth it for a small firm?
Should content include code or technical detail?
How much does it cost?
How long is the contract?
How soon will we see results?
Who will actually do the work?
What do you need from us?
What if we are not happy with the work?
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Everything else we would do for you.
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Also for data analytics companies
Or start from the overview: sales and marketing for data analytics companies.
Your next practical step
Tell us what you are trying to grow, and we will read it before we call.
Eight short steps, mostly taps. Skip anything you would rather answer on the call.