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Online personalisation means adapting the content of your website or marketing message to the individual person you are reaching. Instead of giving every visitor the same experience, you show content that aligns with their behaviour, interests, or previous interactions.
Think of product recommendations on an e-commerce store, personalised emails, or landing pages that change based on the stage a visitor is at in their customer journey.
For businesses, personalisation is a powerful way to reduce friction and increase conversions. When visitors immediately see relevant information, they spend less time searching and make decisions more quickly.
In this article, ANA Digital Media explains exactly what online personalisation is, what forms it takes, and how to use it strategically to generate more leads, purchases, and long-term customer value.
Online visitors in India are confronted with thousands of advertisements, emails, and websites every single day. As a result, attention has become an incredibly scarce resource.
When a website does not immediately connect with what a visitor is looking for, there is a strong chance they will leave within a matter of seconds. Personalisation helps solve this problem by showing visitors relevant information, products, or offers more quickly.
Additionally, users have become accustomed to personalised experiences through platforms such as Amazon, Netflix, and Spotify — all of which are enormously popular in India. These platforms demonstrate that technology is becoming increasingly capable of predicting what a person will find interesting and valuable.
As a result, visitors now expect other websites to align their content with their behaviour, interests, or previous interactions as well. When a website fails to deliver this relevance, the experience quickly feels generic and far less persuasive.
For businesses, this has a direct impact on marketing results. Relevant content means visitors find what they are looking for more quickly, experience less friction in their customer journey, and are more inclined to make a purchase or submit an enquiry.
Personalisation can therefore lead to higher conversion rates, stronger customer engagement, and more efficient use of marketing budgets — because campaigns align more closely with the actual intent of the target audience.
Online personalisation makes marketing more relevant. By tailoring content, offers, and calls to action to behaviour, interests, and stage in the customer journey, visitors receive information that matches their intent far more quickly.
Personalisation can increase conversions and customer value. When visitors immediately see relevant products, services, or content, it becomes easier for them to make a purchase, submit an enquiry, or get in touch.
Effective personalisation starts with data and testing. By analysing website behaviour, segmenting visitors, and running A/B tests, businesses can discover which forms of personalisation genuinely contribute to better results.
The greatest impact occurs when personalisation is combined with SEO, paid advertising, and conversion rate optimisation. This allows businesses to not only attract more relevant traffic, but also ensure that the on-site experience better matches the expectations of those visitors.
Online personalisation means that a website or marketing message is automatically adapted to the individual visitor. The content a person sees changes based on data such as previous website behaviour, interests, location, or past purchases. As a result, not every visitor receives the same content — instead, they receive an experience that better reflects what they are most likely looking for.
A concrete example is an e-commerce store that recommends products based on previously viewed items. When someone browses running shoes multiple times, the homepage can automatically display sportswear or running-related offers. This increases the likelihood that the visitor will find a product that is genuinely relevant to them.
B2B websites in India also use personalisation effectively. A first-time visitor often sees general information or an introductory article first, whilst a returning visitor who has already viewed several product or service pages is more likely to see a demo request option or a direct contact prompt.
By aligning content with behaviour and intent, the website becomes more relevant, and it becomes easier for visitors to take the next step in their journey.
Online personalisation can be applied in a number of different ways. By distinguishing visitors based on their behaviour, context, or segment, you can tailor the content of your website or marketing messages to what is most relevant for that particular user. Below are the most commonly used forms of personalisation and how you can apply them in practice.
Behaviour-Based Personalisation This form uses the behaviour of visitors on your website — the pages they view, the products they click on, or the actions they take. Based on that behaviour, you adapt the content they see.
Practical example for the Indian market: a visitor browses the same category of products on an e-commerce store several times. The next time they visit the website, the homepage automatically displays products from that category or shows a discount on similar items — for instance, showing ethnic wear collections to someone who regularly browses kurtas and sarees.
Contextual Personalisation Here, content is adapted based on the visitor's situation — such as their location, device, or the time of day.
Practical example: visitors who open your website on a smartphone see a shorter form and larger buttons for easier navigation. Visitors from Mumbai see prices in Indian Rupees and Mumbai-specific delivery information, whilst visitors from other cities or states see relevant local options and applicable shipping details.
Segment-Based Personalisation Visitors are grouped into segments with similar characteristics, and each group receives a tailored message or content experience.
New visitors
Returning visitors
Existing customers
Visitors arriving from paid advertisements
B2B leads versus individual consumers
Practical example: a returning visitor who has previously requested a quote might see a different call to action, such as "Schedule a Call", whilst new visitors are first offered a free guide or downloadable resource.
AI-Driven Personalisation In this form, AI analyses large volumes of user data to automatically predict which content or products are most relevant for each individual visitor.
Practical example: an e-commerce store can use AI to automatically recommend products that are frequently purchased together or that match a visitor's previous purchases. This means every visitor dynamically sees a different, tailored product selection — something that platforms like Flipkart and Amazon India have long used to great effect.
By strategically combining these forms of personalisation, you can make the online experience more relevant for different types of visitors whilst simultaneously increasing the likelihood of conversion.
Online personalisation increases conversions because it reduces the distance between what a visitor intends to do and the information they need to act.
When visitors immediately see products, content, or offers that match their interests, they need to browse fewer pages. This shortens the time required to make a decision and increases the probability that someone will make a purchase or get in touch.
Personalisation also helps to guide visitors more effectively through the customer journey. First-time visitors often need explanation and inspiration, whilst returning visitors are frequently ready for a concrete action, such as requesting a quote or completing a purchase. By tailoring the message to this stage of the journey, it becomes clearer to visitors what their next step should be.
A third reason is that personalisation makes marketing more efficient. When campaigns and landing pages align more closely with the interests of visitors, click-through rates and conversion rates typically improve. This means the same marketing budget delivers more value, and the revenue generated per visitor increases over time.
Higher conversion rates
A higher average order value
More returning customers
Businesses in India that apply personalisation in a structured and consistent way can therefore not only generate more sales, but also grow the total lifetime value of their customers over time.
Online personalisation only works well when it is grounded in data and a clear strategy. Many businesses attempt to add personalised content immediately, but without insight into user behaviour, this often results in arbitrary adjustments that have little real effect. An effective approach therefore begins with analysing how visitors actually behave on your website.
Collect Behavioural Data From Visitors The foundation of personalisation is understanding what visitors do on your website. Analyse things such as:
Which pages are visited most frequently
Which products or services are viewed regularly
Where visitors drop off in the customer journey
Which channel visitors are coming from — whether organic search, paid ads, social media, or direct traffic
With tools such as analytics software, heatmaps, and session recordings, you can see where visitors show interest and where they get stuck. These insights help determine where personalisation will have the greatest impact on your business.
Create Clear Visitor Segments Not every visitor has the same intent. By segmenting visitors, you can personalise more precisely and meaningfully.
New visitors
Returning visitors
Existing customers
Visitors arriving from paid advertisements
Visitors who are browsing specific product categories
For each segment, you can show a different message, offer, or call to action that better matches their stage in the customer journey.
Choose Strategic Moments for Personalisation Personalisation has the greatest impact at points where visitors are making a decision. Think of:
The homepage
Product or service pages
Pricing pages
Enquiry forms and demo requests
Email follow-up sequences
A practical example: when someone has viewed multiple product pages, the website can automatically show similar products or a relevant offer — for instance, a limited-time discount relevant to an upcoming Indian festival or sale season, such as Diwali or the Big Billion Days.
Test and Optimise Continuously Not every form of personalisation immediately delivers better results. It is therefore important to test different variants and measure which performs best.
A/B tests
Heatmap analysis
Conversion analysis per visitor segment
By implementing personalisation step by step and continuously optimising based on real data, you create a website that aligns progressively better with different types of visitors — and that therefore contributes more effectively to improved conversions over time.
Online personalisation works best at the moments when visitors are making a choice or actively seeking information. At these points, relevant content can help remove doubts and guide visitors more quickly towards their next step.
The Homepage The homepage is often the first page visitors see. Here, personalisation can be used to immediately show different types of visitors information that is directly relevant to them.
Returning visitors see the products or services they previously viewed
Visitors arriving from an advertising campaign see a message that connects with that specific campaign
Existing customers see different content from first-time visitors
This means visitors spend less time searching for information that is relevant to their specific situation.
Product or Service Pages On product or service pages, personalisation can help visitors make a decision more quickly.
Recommended products based on previously viewed items
Bundled offerings or complementary services that are frequently purchased together
Case studies or reviews that are relevant to the visitor's specific industry or business type in India
This helps visitors more quickly understand which offering best fits their particular situation and needs.
The Checkout or Enquiry Page This is a critically important moment in the customer journey because visitors are here, actually completing a purchase or submitting an enquiry.
Recommended add-on products
Discounts for returning customers or loyalty programme members
Pre-filled details for existing customers to speed up the process
This makes the process faster and more convenient for the user, reducing the likelihood of abandonment.
Email and Retargeting Campaigns Personalisation is also widely applied outside the website itself — particularly in email marketing and paid advertising campaigns.
Emails featuring products that a visitor previously viewed but did not purchase
Targeted advertisements for specific product categories based on browsing behaviour
Offers based on previous purchase history or demonstrated interests
By applying personalisation at these touchpoints, the message aligns more closely with the visitor's intent — and the likelihood of them returning to the website and converting increases significantly. This is especially effective in the Indian market, where WhatsApp-based retargeting and personalised SMS campaigns are also widely used alongside email.
To understand online personalisation well, it helps to look at how businesses concretely use it to increase conversions. Below are examples of personalisation that can have a direct impact on revenue, leads, or engagement — drawing on examples that are highly relevant to the Indian digital market.
E-Commerce Stores In e-commerce, personalisation is frequently used to guide visitors more quickly towards a purchase. Online stores can show product recommendations based on previously viewed items or categories a visitor has browsed. The homepage can also automatically display products that align with a visitor's demonstrated interests.
A concrete example relevant to India: a visitor browses ethnic wear on an online fashion platform several times. When they return to the website, the homepage immediately displays kurtas or sarees from similar collections, along with relevant festival offers or size-specific recommendations. This means the visitor spends less time searching and is more likely to find something they want to buy.
B2B Websites On B2B websites, personalisation helps guide visitors more quickly towards submitting a lead or enquiry. First-time visitors are often looking for information about a service or solution first, whilst returning visitors are frequently more interested in concrete results, client success stories, or booking a consultation.
A practical example: a visitor browses multiple pages about SEO services on the ANA Digital Media website. When they return to the site later, the page automatically shows a relevant case study of an Indian business that significantly increased its organic traffic through SEO. This makes the value of the service more tangible and increases the likelihood that the visitor will request a consultation or get in touch.
SaaS Platforms SaaS businesses in India use personalisation, particularly to help users extract value from their product more quickly. During onboarding, the platform might show different steps depending on the role of the user — such as a marketing manager, developer, or business owner.
An example of this is a dashboard that automatically surfaces features or reports that are relevant to the behaviour and usage patterns of that specific user. This helps users discover important features more quickly and increases the likelihood that they will continue using the product long-term.
Email Marketing and Retargeting Personalisation is also widely applied in email marketing and paid advertising to bring visitors back to a website. Businesses can send emails featuring products a visitor previously viewed, or offers that connect with their previous purchases.
A commonly used example in India: a visitor views a product on an e-commerce site but leaves without purchasing. Shortly afterwards, they receive a WhatsApp message or email showing similar products, along with a time-limited offer tied to an upcoming sale event. This provides exactly the nudge needed to encourage them to return and complete the purchase.
To apply online personalisation effectively, businesses need tools that can collect, analyse, and act on user data to dynamically adapt content. This technology makes it possible to give different groups of visitors a different experience based on their behaviour, interests, or previous interactions.
CRO and Personalisation Tools Conversion rate optimisation tools help businesses adapt content and test different page variants. With these tools, you can show dynamic content or present different calls to action to specific visitor segments.
Showing different banners to new versus returning visitors
Personalised product recommendations on product pages
Running A/B tests to determine which variant converts better
Widely used tools in this area include Optimizely, VWO, and Dynamic Yield — all of which are accessible to Indian businesses of varying sizes.
Marketing Automation Platforms Marketing automation tools combine user data with email marketing and website interactions. This allows businesses to send personalised campaigns based on behaviour or segment.
Emails featuring products a visitor previously viewed
Automatic follow-ups after a download or newsletter sign-up
Campaigns based on interests or purchase history
Well-known platforms for this include HubSpot, Klaviyo, and ActiveCampaign — the last of which is particularly popular amongst growing Indian businesses due to its accessible pricing and extensive integration capabilities.
AI-Driven Personalisation Tools An increasing number of businesses in India are using AI to automatically optimise personalisation. These systems analyse large volumes of user data and predict which content or products are most relevant for a specific visitor at any given moment.
Product recommendations based on purchase behaviour
Dynamic homepage content that changes per visitor
Personalised offers based on predicted purchase intent
Examples of platforms that support this include Bloomreach and Insider — both of which have a growing presence in the Indian market and offer strong capabilities for e-commerce and SaaS businesses.
By combining these tools with data analysis and continuous optimisation, businesses can progressively align their website and marketing channels more closely with the needs of different visitor groups. This makes the online experience more relevant and can significantly increase the probability of conversion.
Although online personalisation offers significant opportunities to increase conversions and customer value, it is frequently applied incorrectly in practice. Without a clear strategy, reliable data, or proper testing, personalisation can actually have a negative impact on the user experience. Below are some of the most common mistakes businesses make when implementing personalisation.
Personalisation Without Sufficient Data A common mistake is applying personalisation without adequate insight into user behaviour. When personalisation is based on limited or inaccurate data, the content visitors see can actually become less relevant. Think of product recommendations that bear no relation to a user's previous interests or browsing history.
An effective approach, therefore, begins with analysing website behaviour — such as pages viewed, interactions completed, and previous purchases. Only once clear patterns become visible can personalisation truly add value.
Too Much Personalisation All at Once Some businesses attempt to personalise their entire website simultaneously. This makes it very difficult to measure which specific adjustments are actually contributing to better results. Furthermore, an overly aggressive focus on personalisation can create a confusing or inconsistent user experience that undermines trust rather than building it.
A better strategy is to start with the areas where personalisation will have the greatest impact — such as product recommendations, landing pages, or calls to action. By optimising step by step, the effect remains more measurable and manageable.
Personalisation Without Testing Personalisation does not automatically perform better than a standard experience. It is therefore important to always test personalised content using A/B tests and similar methodologies. By comparing different variants, you can determine which message, layout, or offer works best for specific visitor segments.
Lack of Transparency About Data Usage Personalisation typically involves the use of user data. When businesses do not communicate clearly about how this data is being used, it can lead to distrust amongst visitors — which is particularly important to consider given India's growing awareness of data privacy following the introduction of the Digital Personal Data Protection Act.
Transparency about data collection and clear privacy settings are therefore essential for maintaining visitor trust. Research by SmarterHQ indicates that 72 per cent of consumers say they are only willing to receive personalised marketing when it is based on data they have consciously and willingly shared.
By applying personalisation carefully, in a data-driven manner, and with full transparency, businesses can enjoy the benefits without damaging the user experience or the trust of their visitors.
Online personalisation does not exist in isolation from other marketing channels. The greatest impact occurs when personalisation is combined with SEO, paid advertising, and conversion rate optimisation. By having these disciplines work together, you can not only attract more visitors but also ensure that the experience on your website aligns more closely with their intent.
SEO and Personalisation SEO focuses on attracting visitors through search engines based on their search intent. Personalisation can then help guide these visitors more quickly towards relevant content or products once they arrive on your site.
Visitors arriving via a specific search query see content that directly aligns with that search intent
Landing pages display related articles or products based on previously viewed pages
Returning visitors see different calls to action compared to first-time visitors
An example: someone searches on Google for information about SEO strategies for their Indian business and lands on an article from ANA Digital Media. When this visitor returns to the website later, the site can automatically surface a relevant case study or prompt them to book a free consultation — connecting directly with their previously demonstrated interest.
Paid Advertising and Personalisation With paid advertising — whether through Google Ads or Meta Ads — it is important that the landing page aligns closely with the message of the advertisement. Personalisation can help adapt the content of a landing page dynamically based on the advertising campaign or target audience being served.
Landing pages that automatically show different headlines based on ad groups or audience segments
Personalised offers for visitors arriving from specific campaigns — for example, a Diwali promotion or a seasonal discount campaign
Adapted calls to action for new visitors versus returning visitors who have already shown interest
This ensures the message aligns more closely with the expectation of the visitor, which typically results in a higher conversion rate and a better return on your advertising spend.
CRO and Personalisation Conversion rate optimisation focuses on improving the performance of a website through testing and data analysis. Personalisation can be used here to give different visitor groups a tailored experience that increases the likelihood of conversion.
Different calls to action for new versus returning visitors
Personalised product recommendations based on browsing or purchase behaviour
Adapted forms depending on the device being used or the stage of the customer journey
By combining personalisation with SEO, paid advertising, and CRO through well-crafted landing pages and compelling graphic design, a marketing strategy emerges in which traffic, relevance, and conversion reinforce one another. This means not only more visitors are attracted, but the probability that those visitors actually become customers increases significantly.
The future of online personalisation is being increasingly shaped by data, automation, and artificial intelligence. Whereas personalisation was previously often based on simple segments — such as new versus returning visitors — businesses today can predict with ever-greater precision what a user needs at any given moment. As a result, personalisation is shifting away from static adjustments towards dynamic experiences that are continuously adapted based on real-time behaviour.
One important development is real-time personalisation. Here, the content of a website is adjusted instantly while a visitor is actively using it. When someone browses multiple product pages within the same category, the website can automatically show similar products, complementary accessories, or highly relevant content. This makes the experience more relevant whilst the visitor is still engaged on the site — reducing the likelihood of them leaving without taking action.
Artificial intelligence is also playing an increasingly significant role. AI can analyse large volumes of user data and identify patterns that are difficult for humans to detect manually. This allows systems to predict which products, services, or content are most relevant for a specific user at a specific moment. In Indian e-commerce, for example, this is already being used to automatically optimise product recommendations based on purchase behaviour, regional preferences, and seasonal trends.
Another important development is the shift towards privacy-friendly personalisation. Due to stricter privacy regulations — including India's Digital Personal Data Protection Act — and the phase-out of third-party cookies, businesses must increasingly work with first-party data such as website behaviour, customer account data, and email interactions. This means businesses need to focus more strongly on building their own data assets and being transparent about how customer information is collected and used.
For businesses operating in India, this means personalisation is becoming an increasingly structural component of digital marketing strategy. Websites, advertisements, email campaigns, and customer environments will increasingly be automatically tailored to the context and needs of the individual user. Organisations that invest in data infrastructure, the right technology, and a culture of continuous experimentation will be able to offer more relevant experiences — whilst simultaneously growing their conversions and the long-term value of their customer relationships.
Online personalisation helps businesses move away from giving every visitor the same generic experience, and towards delivering an experience that genuinely aligns with their behaviour, intent, and stage in the customer journey.
When content, offers, and calls to action better reflect what a visitor is actually looking for, it becomes much easier for them to take the next step — whether that is making a purchase, submitting an enquiry, or getting in touch.
The greatest impact comes from applying personalisation at the most important moments in the customer journey — such as the homepage, product and service pages, enquiry forms, and marketing campaigns.
By analysing user behaviour, segmenting visitors thoughtfully, and testing different variants consistently, businesses can progressively discover which forms of personalisation genuinely contribute to better results.
Businesses that apply personalisation strategically combine it with SEO, Google Ads, Meta Ads, high-converting landing pages, and strong graphic design. This ensures they not only attract more relevant visitors, but also create a website experience that better matches the expectations of those visitors.
The result is higher conversions, a more efficient marketing budget, and stronger, more lasting customer relationships.
Get in touch with ANA Digital Media today to find out how we can help your business implement personalisation as part of a complete, results-driven digital marketing strategy.
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