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Consumer Electronics Ecommerce · India · SEO

Intex SEO case study: 100K organic clicks a quarter, on a better position

Intex sells LED TVs, speakers, home appliances and IT accessories, and has traded since 1996. In the three months to 1 October 2026, Google Search sent the store 100K clicks, up from 91.9K the quarter before, while average position improved from 8.5 to 7.8. The same store is also appearing inside Google's AI answers — that is covered in a separate case study.

Client: intex.in

100KClicks from Google Searchthree months · up from 91.9K, +9%
3.2%Average CTRup from 2.8%
7.8Average positionimproved from 8.5
The challenge

A wide catalogue, compared on specifications

Which TV size suits a small room. What wattage a speaker needs for a hall. Whether a washing machine of a given capacity is enough for a family of four. Intex's catalogue spans LED TVs, speakers, home appliances and IT accessories, and almost none of it is bought on impulse — shoppers compare specifications, prices and reviews across several sites before they buy.

That makes organic search a crowded fight: against marketplaces, against comparison sites, and against every other brand selling a similar spec sheet. A catalogue page that only states the model number loses that comparison to whichever page explains it better.

What we did

The store, and the content around it

We rebuilt the Intex store as a catalogue organised by category — TVs, speakers, IT accessories, appliances — with product pages carrying price, brand and breadcrumb markup, a blog, and new launches and top sellers surfaced from the homepage. Search work has run alongside that structure since:

  • An aggressive blog and content cadence built around the comparison questions buyers actually search — size guides, wattage guides, capacity guides — published ahead of the product pages they support, not instead of them.
  • Internal linking from that content into the relevant category and product pages, so a shopper who arrived with a question has a path to the catalogue rather than a dead end.
  • Backlink building to support category pages that compete directly against marketplace listings for the same searches.
  • Structured, consistent on-page SEO — titles, meta, schema — kept current across a catalogue with hundreds of SKUs.
  • AI tools support the last of those — drafting meta variations, flagging missing schema, auditing pages at catalogue scale — but the content calendar, the comparison topics chosen, and the link targets are strategy decisions, not automation output.
Results

More clicks, from slightly fewer impressions

Between July and September 2026, the Intex store took 100K clicks from Google Search, against 91.9K in the quarter before — an increase of 9%. Impressions moved the other way, from 3.33M to 3.18M, a fall of about 4.5%. Average CTR rose from 2.8% to 3.2% and average position improved from 8.5 to 7.8.

Intex SEO case study: Google Search Console showing 100K organic clicks in three months, up from 91.9K, with average position improving from 8.5 to 7.8
Google Search Console, intex.in, web search, last three months against the previous three, captured 1 October 2026.
MetricPrevious 3 monthsLast 3 monthsChange
Clicks91.9K100K+9%
Impressions3.33M3.18M−4.5%
Average CTR2.8%3.2%+14%
Average position8.57.8Better by 8%

Fewer impressions producing more clicks is the signature of a ranking improvement rather than a visibility one: the store is being shown in slightly fewer searches, but it sits higher in the ones it appears for, and higher positions convert to clicks at a noticeably better rate. That is consistent with the structured, comparison-led content described above — pages built to answer the question win the click even when they don't win the impression count.

Source: Google Search Console, intex.in, search type web (text), last three months against the previous three, captured 1 October 2026. Figures are shown as Search Console rounds them.

How to read it

What this page does not prove

  • We cannot isolate which piece of work moved these numbers — content, links and technical SEO ran together, the way they do in most ongoing engagements.
  • Average position of 7.8 is an average across a very wide catalogue; individual category and product pages sit above and below it.
  • This report counts clicks and impressions, not orders. Intex's order data sits in the store, not in Search Console.
  • Three months is a short window for an ecommerce catalogue with seasonal categories like TVs and appliances; we have not adjusted for seasonality.
Questions we get asked

About this case study

What did DigiStreet do for Intex's SEO specifically?

Built the catalogue structure the store runs on (category pages, product pages with price, brand and breadcrumb markup), then ran an ongoing programme of comparison-led blog content, internal linking from that content into the catalogue, and backlink building for category pages competing against marketplace listings.

Is this the same work as the Intex GEO case study?

Same brand, same underlying store, different report. The GEO case study measures how often Intex appears inside Google's AI-generated answers. This page measures ordinary organic Search Console performance — clicks, impressions, CTR and position. Read the Intex GEO case study →

Why did impressions fall while clicks rose?

Because the store is shown in slightly fewer searches but ranks higher in the ones it does appear for. Average CTR rose from 2.8% to 3.2% and average position improved from 8.5 to 7.8, so a smaller number of impressions still produced more clicks.

Did AI write this SEO strategy?

No. AI tools help execute parts of it — meta variations, schema checks, technical audits across hundreds of SKUs — but the comparison topics we write about, the internal linking structure, and where we build links are strategy decisions made by the team, not generated.

How does SEO work for a catalogue this wide?

Category by category. Each product category gets its own content plan built around how buyers actually compare products in it — TV size and room size, speaker wattage and room size, washing machine capacity and family size — rather than one generic approach applied across everything Intex sells.

Can this work for other electronics or appliance brands?

Yes, especially where buyers compare on specifications before they buy. It is the same pattern that works for comparison-led categories generally — the content has to actually answer the comparison, not just list the spec sheet.

Selling a catalogue people compare before they buy?

We can look at your Search Console data and tell you what's working, what isn't, and where the content gap actually is.

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