Capterra reviews to Power BI

Capterra ranks and filters listings on their review scores, which makes those scores a demand-gen number. Reviewflowz publishes an OData feed, so every Capterra review lands in Power BI as an ordinary row, with its pros and its cons in two columns of their own.

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Capterra reviews As written
Marta K.

Quick to run one site, blind across eleven

Pros

Rota building is genuinely quick and the mobile app has never dropped a shift change on us.

Cons

Reporting stops at a single site. We run eleven and there is no way to see them in one view.

201 to 500 employees 2 September 2026

Through the Reviewflowz OData feed
Power BI Power BI Reviews
Rating
3.0
Company size
201 to 500
Pros
Rota building is genuinely quick and the mobile app has never dropped a shift change on us.
Cons
Reporting stops at a single site. We run eleven and there is no way to see them in one view.

Pros and Cons are two columns in the feed, not one blob of text.

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Paste one URL. There is nothing to install.

Reviewflowz publishes an OData v4 feed, and Power BI’s built-in OData connector reads it: Get data, OData feed, paste the URL, tick your tables. No connector file, no gateway, no Power Query M. Paste a token from Reviewflowz as the user name with a blank password. Incremental refresh works, and a change stream carries edits and removed reviews into the model.

Power BI Get data
URL
https://app.reviewflowz.com/api/odata/v1/accounts/4821/
User name
rfz_9f4c...
Password
(blank)

Basic authentication. The token goes in the user name field and the password stays empty.

Reviewflowz Navigator
Reviews one row per review
ReviewProfiles your listings
Locations your places
RatingsHistory as Capterra reports it
ReviewSummary by month
ReviewChanges insert, update, delete

Nothing to install. Power BI has read OData for years.

The number that decides whether buyers see you

Capterra ranks and filters category listings on review scores, so that number decides whether a buyer building a shortlist sees you. Your profile prints a lifetime average, while the Shortlist ratings score reads the last twelve months. A CALCULATE and a DATESINPERIOD over the review date puts that window on a card beside the all-time average, and the gap shows every time the report opens.

Power BI ReviewSummary
Northline Scheduling Capterra reviews
4.8 4.4 4.0
Aug 2025 Mar 2026 Sep 2026
Lifetime average 4.6 Lifetime, 214 reviews
Rolling 12 months 4.2 Last 12 months, 61 reviews
The measure Capterra ranks on
Rating 12m = CALCULATE(AVERAGE(Reviews[Rating]),
    DATESINPERIOD('Date'[Date], MAX('Date'[Date]), -12, MONTH))

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Your review history imports the moment you connect, so there is something to reply to from the first minute.

The pros and the cons are two columns

Capterra asks for pros and cons in separate boxes, and the feed keeps them as two fields, so a cons-only visual is a visual rather than a text-parsing project. Filter Cons ne null at the source and a smaller table reaches your model. Each con keeps its score, month and company size band, so a complaint is a segment and a date.

Power BI Power BI Reviews Two fields
abc Cons $filter=Cons ne null
  • “Reporting stops at a single site. We run eleven and there is no way to see them in one view.”

    3.0 201 to 500 employees

  • “Rolling a new depot on took most of a week because every rule has to be typed again.”

    3.0 51 to 200 employees

abc Pros $filter=Pros ne null
  • “Rota building is genuinely quick and the mobile app has never dropped a shift change on us.”

    5.0 11 to 50 employees

  • “Swaps used to be four texts and a phone call. Now the team sorts it out before I see it.”

    5.0 1 to 10 employees

Two properties on one table. A cons visual is a visual, not a parsing project.

Your product, or your fit

Every Capterra reviewer states a company size band, and it lands on every row. Chart average score by size band over the last twelve months. If the score holds everywhere except one band, that is a fit problem, and the fix is qualification, positioning and who your ads chase. If it sags across every band at once, that is the product.

Power BI ReviewerCompany

Average score by company size

Last 12 months, 61 reviews

1 to 10 employees 18 reviews
4.6
11 to 50 employees 24 reviews
4.4
51 to 200 employees 12 reviews
3.8
201 to 500 employees 7 reviews
3.2
Bar length is the score on a 0 to 5 scale Weighted overall 4.2

The score holds everywhere except the largest accounts. That is a fit problem, not a product problem.

FAQs

How do Capterra reviews actually get into Power BI?

Through an OData v4 feed that Reviewflowz publishes. You create a connection in Reviewflowz and copy its feed URL, then in Power BI choose Get data, OData feed, and paste it. Authenticate with the token as the user name and a blank password. Power BI’s navigator lists the tables and you load the ones you want. There is nothing to install: the OData connector ships with Power BI.

Which columns arrive?

One row per Capterra review with the score, the review date, the title, the overall text, the pros, the cons, the link, the language, the reviewer’s name, the company size band, the tags, the topics and the listing it came from, plus the vendor reply and its date. Alongside it are tables for your review profiles, your ratings history, a monthly rollup and a change stream of inserts, updates and deletes.

What is not there: the reviewer’s job title and industry, which the feed does not carry for any platform, and Capterra’s four sub-ratings. Every row carries the overall score only.

Do we get Capterra’s four category scores as separate measures?

No. Ease of use, customer service, features and value for money stay on the Capterra profile page. Reviewflowz does not read them, so there is no column for them and a chart of four category trends would be fiction. What the feed adds instead is the cut the profile page will not give you: the score by month, by company size band, with the pros and the cons in columns of their own.

Does the report refresh on its own?

Yes. Power BI’s scheduled refresh pulls from the feed on whatever cadence you set, and incremental refresh works as well because the review date is a datetimeoffset the feed can filter on. On the Reviewflowz side a Capterra listing refreshes on a four hour floor, so the rows are in the feed well before Power BI asks for them.

Can I narrow what the feed returns?

Yes, with an ordinary OData filter. The score, the review date, the reviewer, the reviewer’s company size band, the title, the overall text, the pros and the cons are all filterable with eq, ne, gt, ge, lt and le joined by and, so a one-star dataset or a cons-only dataset is a query string rather than a second pipeline. Everything else you slice in Power BI, where the report lives.

Does this cover GetApp and Software Advice too?

No. Reviewflowz reads your Capterra listing. It does not merge Capterra, GetApp and Software Advice into a single review, and there is no separate GetApp or Software Advice ingest, so nothing here should be read as covering all three.

Does the first load include our Capterra history?

Yes. Connecting the listing pulls its review history up to your plan’s review limit, so the twelve-month measure and the size-band chart have something to work on the same afternoon rather than in three months. After that the feed carries what changed.

Which plan includes the BI feed?

The BI feed is a Premium feature and it is not part of the free trial, so budget for that rather than discovering it on day three. Everything else works the way the trial suggests: you connect a Capterra listing yourself and see your reviews in minutes.

Do I need a demo to get started?

No. You connect your Capterra listing and create the BI connection yourself, in under five minutes. If you get stuck, support is the people who build it.

Put the score you are ranked on in the report you already open

Set up in under five minutes. No demo required.