Customer journey mapping is a visualization of the sequence of interactions a buyer has with your store — from the first touch to repeat purchase. The goal is to identify drop-off points and opportunities to increase conversion, average order value and retention.
How customer journey mapping works
Mapping combines data and observations into a logical sequence of stages: acquisition, product discovery, decision-making, payment, delivery and post-purchase support. For each stage you record touchpoints, metrics and hypotheses for improvement.
- Touchpoints: product page on Kaspi.kz, in-app banners, search results, reviews, chats, calls, delivery tracking.
- Metrics: CTR to product page, view→purchase conversion, abandoned cart share, time to purchase, NPS/reviews, returns.
- Data: Kaspi reports, internal CRM, warehouse logs, support tickets, traffic analytics from ad campaigns.
Start by creating buyer scenario maps (personas) and collecting quantitative data, then validate hypotheses via A/B tests or quick product page updates.
Why a seller on Kaspi.kz needs customer journey mapping
Mapping turns intuition into concrete actions and KPIs. For a seller on Kaspi.kz this means reducing traffic loss and increasing profit through targeted improvements.
- Reduce abandoned carts: based on experience of sellers in Kazakhstan, abandoned cart rates often range from 60–75%. Analyzing causes at each stage (price, delivery, payment methods) can cut that by 10–25%.
- Increase product page conversion: adjusting photos, key specs and the delivery block can realistically boost view→purchase conversion by 10–30% for low-converting items.
- Lower returns: clarifying sizes, specs and warranty terms reduces returns and related costs.
- Optimize ad spend: mapping helps identify which campaigns bring high-quality traffic (low bounce and high conversion), lowering acquisition cost per order.
A seller who knows at which stage they lose 20% of customers can quickly implement a specific fix and measure the monetary impact.
Examples of customer journey mapping on Kaspi.kz — real scenarios
Below are three typical scenarios Kazakhstani sellers face, with concrete metrics to analyze.
Scenario 1: High traffic, low conversion on the product page
Symptoms: a high number of views and clicks from search or ads, but a low view→purchase conversion and a short average time on page.
- Metrics to monitor: CTR from search/ads to product page, bounce rate on the page, view→purchase conversion, add-to-cart rate.
- Likely causes: poor photos, unclear title or key specs, misleading price/shipping info, weak Buy Box presence.
- Quick actions: improve main photo and gallery, optimize title and bullet specs for search intent, show clear delivery options and total price, highlight guarantees and returns policy. Run A/B tests on image sets and title variants.
- Expected impact: 10–30% uplift on conversion for products with initially low conversion.
Scenario 2: Many add-to-carts but high abandonment at checkout
Symptoms: good product interest and add-to-cart rate, but a large drop at the checkout stage.
- Metrics to monitor: cart abandonment rate, conversion at payment step, preferred payment methods, time to complete checkout.
- Likely causes: limited payment options, unexpected fees, confusing checkout flow, long delivery estimates.
- Quick actions: ensure popular local payment methods are supported (Kaspi.kz wallets, cards, cash on delivery where applicable), show all fees upfront, simplify steps in the checkout and pre-fill fields where possible.
- Expected impact: reduce abandonment by 10–25%, increasing completed orders without raising traffic costs.
Scenario 3: Frequent returns and low repeat purchases
Symptoms: reasonable initial sales but high return rates, low repurchase frequency and negative reviews affecting conversion.
- Metrics to monitor: return rate by reason, NPS/review trends, repeat purchase share, time between purchases.
- Likely causes: mismatched product descriptions, size or spec inaccuracies, poor packaging or delivery damage.
- Quick actions: improve product descriptions with precise measurements and real photos, add size charts, strengthen packaging, and proactively follow up with customers to resolve issues.
- Expected impact: lower returns and improved long-term customer value as trust grows.
Practical steps to build a customer journey map
- Define scope and goals: pick a priority category or product line and set measurable goals (increase conversion by X%, reduce returns by Y%).
- Create personas and scenarios: describe 2–4 typical buyer types in Kazakhstan and their routes (search, app browse, ads, referral).
- List stages and touchpoints: map acquisition → product page → checkout → delivery → support → repeat purchase, and list all touchpoints at each stage.
- Collect data: pull Kaspi reports, CRM logs, support tickets and warehouse data; segment by traffic source and product.
- Identify drop-offs and form hypotheses: mark stages with biggest losses and write testable hypotheses for each.
- Prioritize actions: use an impact/effort matrix to choose quick wins first (photos, titles, delivery info) and plan complex fixes later (logistics integrations).
- Test and measure: run A/B tests, track chosen KPIs for 2–4 weeks or until sample size is sufficient, then roll out winners.
- Scale and iterate: expand the map to other categories based on validated results and keep monitoring long-term metrics like repeat rate and LTV.
Tools and automation — the role of AWW and other systems
Automation reduces manual work and speeds up validation. AWW plays a key role in testing and implementing changes on product pages; other useful systems include analytics platforms, CRM and logistics dashboards.
- AWW: use it to run experiments on product cards, manage content variations and deploy price or promo changes quickly.
- Analytics: integrate Kaspi reports with your analytics (UTM-tracking, session analysis) to tie traffic sources to downstream KPIs.
- CRM & support tools: collect common complaints and requests to feed qualitative insights into the map.
- Warehouse & logistics systems: monitor stockouts, packing quality and delivery times to measure their effect on returns and NPS.
Automated alerts for spikes in returns or drops in conversion help react faster. Start with lightweight integrations and scale as you validate hypotheses.
Mistakes to avoid
- Too generic personas: overly broad buyer types hide real differences — segment by behaviour and product preferences.
- Lack of quantitative metrics: a map with only qualitative insights is hard to prioritize; always attach metrics to stages.
- Ignoring support and logistics data: support tickets and warehouse logs often reveal root causes of returns and dissatisfaction.
- Skipping hypothesis testing: don’t rely on assumptions — validate with A/B tests and real KPIs.
- Trying to cover everything at once: start with one category and a few touchpoints, then scale gradually.
Customer journey mapping is an iterative process. The faster you collect data, test hypotheses and implement changes, the sooner you will see real growth in conversion and average order value on Kaspi.kz.
Часто задаваемые вопросы
- Which data should I start with for customer journey mapping on Kaspi.kz if my resources are limited?
- Start with Kaspi reports on traffic and conversions for product pages, abandoned cart data and return statistics — these sources provide 70–80% of the picture you need. Supplement them with CRM logs and support tickets to identify frequent complaints. If resources are tight, focus on a single product category and 2–3 key touchpoints (product page, payment, delivery).
- How should I prioritize hypotheses to improve a product page so I don't waste budget?
- Evaluate hypotheses by three criteria: potential impact (how much conversion could improve), implementation complexity and time to effect. First test quick, low-cost changes with high potential — photos, title, price, key specs. Plan complex developments (integrations, logistics) only after validating quick wins.
- Which metrics should I track for a month after making changes to the customer journey map?
- Main metrics are product page CTR, view→purchase conversion, abandoned cart share and average order value; additionally track time to purchase and number of returns. Also monitor NPS/reviews and support requests related to changed products. For statistical significance use at least 2–4 weeks of data or the calculated sample size.
- How do I account for delivery and logistics when mapping the journey on Kaspi.kz?
- Include delivery as a separate stage with touchpoints: delivery method selection, tracking, expected delivery time and packaging quality. Collect data on delivery times, percentage of damaged/lost orders and support requests to assess impact on returns and repeat purchases. Work with suppliers and warehouses to fix bottlenecks — logistics improvements often yield noticeable retention gains.
- What common mistakes prevent creating a useful customer journey map and how do I avoid them?
- Common mistakes include too-general personas, lack of quantitative metrics and ignoring support and logistics data. Avoid “idealized” maps without hypothesis testing: always run A/B tests and track real KPIs. Finally, don’t try to map the entire business at once — start with a priority category and expand based on results.
