How to conduct competitive analysis, SEO and competitor advertising for sales on Kaspi.kz

Introduction: why a Kaspi seller needs competitive analysis

If you sell on Kaspi.kz in 2026, competitive analysis is not an academic exercise but a working playbook to increase sales and reduce costs. In this article I give a practical plan: what data to collect, which tools to use (Serpstat, SEMrush, Popsters), how to perform SEO analysis of competitors and competitor ad analysis — with examples and a checklist to implement in your Kaspi store.

What competitive analysis is and the questions it answers

Competitive analysis is the systematic collection and interpretation of data about competitors' stores, products and marketing activities both on marketplaces and off them. For a Kaspi seller it solves concrete tasks:

• understanding price positioning and the risk of a price war (see the guide on price wars);
• identifying product card growth points (CTR, conversion) and ways to increase Buy Box share (Buy Box);
• determining effective traffic channels and ad formats used by competitors;
• assortment optimization: which anchor products and bundles work best.

Instead of a general “analyze the market” instruction, you will get practice: what to look for in a competitor's card, which metrics to collect, and how to make inventory and ad decisions.

Analysis methodologies: from SWOT to 7P

I use two complementary methods: a quick SWOT for strategic perspective and a detailed 7P for operational hypotheses.

1. SWOT in 30–60 minutes

1. Strengths — what the competitor does better: rating, logistics (FBO/FBS), price, photos, reviews.
2. Weaknesses — vulnerabilities: poor photos, few reviews, weak product descriptions, slow fulfillment, inconsistent stock or poor seller metrics.
3. Opportunities — market gaps you can use: underserved niches, complementary products, seasonal demand peaks, weak ad presence.
4. Threats — external risks: aggressive pricing, large sellers with deep discounts, platform rule changes, supply chain disruptions.

2. 7P for operational hypotheses

7P helps turn strategic insights into concrete tests on your Kaspi card and in advertising. I adapt classic 7P to marketplace specifics:

• Product — card content: title, bullets, specs, images, videos, attachments; bundled offers and SKUs.
• Price — list price, discounts, promo pricing, perceived price vs competitors, margin and Buy Box strategy.
• Place — logistics and availability: FBO vs FBS, delivery time, warehouse locations that affect Buy Box.
• Promotion — ads on Kaspi, marketplace promos, off-platform channels (socials, search), creatives and landing approaches.
• People — customer service, response times, reviews management and reputation.
• Process — how orders, returns and complaints are handled; SLA and dispute resolution.
• Physical evidence — photos, unboxing, certificates and proof that increase trust in the card.

For each P, form a hypothesis (e.g., improve main image → +CTR) and an experiment (A/B image, track CTR→conversion→Buy Box changes).

Tools for analysis: list and practical scenarios

Primary tools I recommend:

• Kaspi search and category listings — manual checks of top sellers, featured cards and promo blocks.
• Serpstat / SEMrush — keyword visibility, traffic estimates, paid search and ad creatives overview.
• Popsters — social media post analysis and engagement benchmarks for local competitors.
• Kaspi Seller / internal analytics — your sales history, conversion funnels and promo performance.
• Excel / Google Sheets + scripts — consolidating scraped data, calculating KPIs and tracking dynamics.

Practical scenarios:

1. Quick competitor scan: pick top 5 sellers by category on Kaspi, export prices, ratings, stock and delivery type in a sheet — 1 hour.
2. SEO harvest: run competitor domains through Serpstat/SEMrush to pull high-frequency keywords and content ideas — 2–3 hours.
3. Ad snapshot: collect creatives and landing pages from competitor ads (marketplace promos, social and search) to create a swipe file — ongoing.

Practical SEO analysis of competitor sites (and harvesting ideas for your product card)

Competitor websites are a source of tested messaging and keyword ideas. Steps to extract value:

1. Collect top-ranking competitor pages for your core keywords using Serpstat/SEMrush.
2. Extract title tags, H1/H2 structure, meta descriptions and schema markup — identify which elements repeat across high-ranking pages.
3. Harvest high-frequency and LSI keywords, product features emphasized, unique selling propositions and FAQ sections.
4. Note rich content formats: comparison tables, videos, detailed spec sheets — decide what can be adapted to the Kaspi card (bullets, description, attachments).

Practical transfer to Kaspi card:

• Use top keywords in the product title and first bullets, but keep the title readable for Kaspi search rules.
• Implement structured benefits and specs as bullets; add a short FAQ block in the description if Kaspi supports it.
• Use high-quality images and video snippets found effective on competitor sites — adapt for Kaspi thumbnails and gallery.

Competitor advertising analysis: where to look and what to copy

Ad analysis on marketplaces and off-platform helps replicate working creatives and avoid dead-ends. Where to look:

• Kaspi platform promos — featured blocks, category banners, and internal campaign cards.
• Search and display (SEM) — use SEMrush/Serpstat to estimate visibility and ad texts.
• Social ads — collect creatives from Instagram, TikTok and Facebook; Popsters helps with format trends.
• Marketplaces and aggregators — cross-check presence and price parity.

What to copy (and how):

• Copy value propositions and headline structures that explain benefits in one line; adapt wording to Kazakh/Russian where appropriate for your audience.
• Replicate successful creative formats (short demo videos, comparison visuals) but localize visuals and claims.
• Don’t copy pricing strategies blindly — match them to your margin and long-term goals. Use promos to test uplift, then iterate.

Checklist: concrete steps for competitive analysis (step by step)

1. Define the category and core keywords for your product.
2. Identify top 5–10 competitors on Kaspi by sales, reviews and Buy Box share.
3. Gather data: prices, rating, number of reviews, delivery type (FBO/FBS), stock status, promo presence.
4. Run SEO tool queries for competitor domains to extract keywords, H1/H2, and content ideas.
5. Collect creatives from ads and social — build a swipe file.
6. Run a quick SWOT and generate 3–5 operational hypotheses using 7P.
7. Prioritize experiments by expected impact and ease of implementation.
8. Launch tests: images, title, bullets, price promos, ad creatives; track CTR, conversion, share of Buy Box and ROI.
9. Scale winners; document learnings and update the competitor database monthly.

Practical case: how we increased Kaspi sales by 35% in 8 weeks

Summary of the approach we used for a medium-sized electronics seller:

• Week 1: competitor mapping and SWOT — identified weak photos, inconsistent specs and an inactive social presence among top rivals.
• Week 2–3: SEO harvest and card rewrite — optimized title and bullets with harvested keywords; added a detailed spec table and short FAQ.
• Week 4: visual overhaul — new primary image, lifestyle photos and a 15s demo video for the Kaspi gallery.
• Week 5–6: targeted promos — launched a time-limited promo and Kaspi ads focusing on Buy Box retention; tested creatives from the swipe file.
• Week 7–8: measurement and scale — tracked CTR→conversion lift, adjusted bids and increased stock in FBO to secure Buy Box; result: +35% sales, improved margin after promo optimisation.

Key reasons for success: focused hypothesis testing, quick visual and content changes, and aligning logistics to support increased demand.

Mistakes and risks when analyzing competitors

• Copying tactics without context — a strategy that works for a big brand may not fit your margins or fulfillment capabilities.
• Chasing a price war — reactive repricing can destroy margin; evaluate impact before matching discounts.
• Over-reliance on third-party estimates — SEMrush/Serpstat give approximations; validate with platform data.
• Ignoring legal/brand restrictions — be careful with trademarked claims and regulated product messaging.

How to embed the competitive analysis process into operations

Turn analysis into routine work:

• Assign owners: product/content, pricing, ads and analytics each own parts of the workflow.
• Set cadences: monthly competitor audits, weekly promo checks, daily Buy Box monitoring.
• Build dashboards: centralize price, stock, rating and ad spend metrics in a shared sheet or BI tool.
• Document playbooks: standardize responses to competitor actions (repricing thresholds, promo playbook, image update process).

Resources and links for further study

• Serpstat — keyword and site analytics.
• SEMrush — competitive visibility and ad research.
• Popsters — social content analysis.
• AWW materials and case studies on marketplace growth.
• Guide: price war, Buy Box, Anchor products.

Conclusion: what a Kaspi seller should do right now

1. Run a 60-minute SWOT on your top category competitors on Kaspi.
2. Harvest 10 high-value keywords from competitor sites with Serpstat/SEMrush and update your title and bullets.
3. Refresh the main image and add a short demo video where possible.
4. Test one small promo focused on Buy Box gains and measure ROI.
5. Set up a monthly competitor report to keep hypotheses fresh and actionable.

Competitive analysis is a continuous loop: collect, hypothesize, test, measure, scale. For Kaspi sellers in 2026 the fastest wins come from combining fast visual/content changes on the card with tactical promos and solid logistics (FBO/FBS) to capture and keep the Buy Box.