INSYDOR user guide

Learn how to use the live analytics modules in INSYDOR today, and how seller and brand views will extend your workflow over time.

Available today

Listing analytics

Trends and KPIs to decide whether a listing is worth following or stocking.

AI review insights

Pros/cons, themes, and use cases—fast signal on quality and improvements.

Category analytics

Trends, price bands, and top lists to spot opportunities and price windows.

Planned next: seller analytics and brand analytics (same product surface, more object dimensions).

Before you start

  • INSYDOR Chrome extension installed
  • Signed in to INSYDOR (quota is tied to your account)
  • Browsing a Takealot product or category page

Listing analytics

Understand a single product’s performance and lifecycle. GMV trend, time on shelf, and estimated daily sales help you decide whether to follow or stock.

Steps

1

Open a product page

Open any Takealot product detail page.

2

Find the INSYDOR panel

The panel appears on the page; open the “Listing” tab.

3

Refresh data

For a first-time analysis, tap refresh to fetch the latest metrics.

4

Read the results

After a few seconds you’ll see the GMV chart and headline KPIs.

Listing analytics screenshot

Reading the output

GMV trend

3–36 month revenue trend to see growth, stability, or decline.

First review time

Proxy for when the listing likely went live.

Months on shelf

How long the listing has been selling—new vs mature.

Estimated daily sales

A recent-data estimate to inform stocking decisions.

FAQ

AI review insights

Automatically read reviews to surface pros/cons, themes, scenarios, and actionable suggestions—so you can improve the product and PDP faster.

Steps

1

Pick a product with reviews

More reviews generally mean richer, more stable insights.

2

Open the AI reviews tab

In the INSYDOR panel, choose the AI reviews tab.

3

Generate the analysis

Tap refresh; the model processes all reviews (often 10–30 seconds).

4

Read the report

You’ll see rating mix, pros/cons, themes, scenarios, and suggestions.

AI review insights screenshot

Reading the output

Rating mix

Share of positive, neutral, and negative sentiment at a glance.

Pros

What shoppers praise—useful bullets for your listing.

Cons

Complaints and risks—prioritize fixes and QA.

Hot themes

Recurring keywords and topics across reviews.

Suggestions

Model-generated product or ops improvements grounded in the text.

FAQ

Category analytics

See category GMV trend, price-band distribution, and top sellers/brands/listings so you can time entry and pick price windows.

Steps

1

Open a category page

Navigate to any Takealot category listing (e.g. Baby > Car seats).

2

Open the category tab

In the INSYDOR panel, choose category analytics.

3

Refresh

Pull the latest category snapshot for the page you are on.

4

Review insights

Scan trend, price bands, and top-10 tables.

Category analytics screenshot

Reading the output

Category GMV trend

Is the category growing, flat, or shrinking over time?

Price-band distribution

Where listings cluster by price and share of demand.

Top 10 tables

Leading sellers, brands, and listings to understand concentration.

Peak / trough months

Seasonality cues for promos and inventory.

FAQ

Seller analytics (planned)

Seller-level views for performance and competition—follow risk and opportunity. Placeholder roadmap; metrics will evolve with releases.

Expected coverage

  • Seller GMV / volume trend and stability
  • Category share and listing concentration
  • Risk signals and follow-sell hints (placeholder)

Brand analytics (planned)

Track brand share, trend, and price positioning within a category. Placeholder roadmap; we’ll add worked examples next.

Expected coverage

  • Brand share and growth within a category
  • Core price windows and positioning
  • Top-listing contribution and opportunity niches (placeholder)

Still need help?

Email us anytime—we read every message.

support@insydor.com