Dictionary Archive - Page 9 of 15

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Search engine optimisation or SEO is the process of improving the quality of organic traffic to a website/webpage from a search engine.

SEO aims to increase organic traffic to a website from search engines like Google, Bing, and Yahoo. This is done by optimising the website’s design, content, and HTML source code to make it more search engine-friendly.

SEO includes techniques such as keyword research, on-page optimisation, link building, and technical optimisation. Enhancing a website’s SEO can boost search engine visibility, attract more traffic to the site, and ultimately augment revenue. While it may seem complicated and costly, numerous free SEO tools are available for businesses to enhance their search rankings.

SEO tools offer insights into a website’s overall health and performance, providing information and alerts. They can help businesses discover areas of opportunity, as well as constraints or issues that may impede thair ability to rank and gain visibility in search engine results pages (SERPs).

One-to-one personalisation is a more personalised approach to delivering a highly unique customer experience by using all the available data. It aims to tailor the customer experience to an individual’s preferences, behaviours, and interests.

One-to-one personalisation involves using customer data to create unique and customised experiences that go beyond simple segmentation. By analysing data from various sources such as browsing history, purchase history, and social media interactions, businesses can gain insights into individual customers’ needs and preferences. They can then use this information to create personalised offers, product recommendations, and content that resonates with each customer.

One-to-one personalisation aims to make the customer feel valued and understood, ultimately leading to increased customer loyalty and retention.

Non-click behav ioural data refers to a school of analytics that analyses how people behave online without considering what they click on, such as hovering over an image, scrolling down a page etc. It includes user behaviour such as scrolling, hovering, time spent on a page, and the items viewed or added to the cart, among others. This type of data is essential to gain insights into the user’s intent, preferences, and behaviour on a website.

Analysing non-click data allows businesses to optimise their website design, improve user experience, and increase conversions. For example, tracking the time spent on a particular page can indicate the level of interest in the content or product, and optimising the page layout or content can increase engagement and reduce bounce rates. By collecting and analysing non-click behavioural data, businesses can gain a deeper understanding of their customers and make data-driven decisions to improve their online presence.

Omnichannel is interacting with customer within and between different channels, creating seamless customer experiences.

An omnichannel approach aims to unify the customer experience, allowing customers to interact with a brand through any channel of their choice, such as websites, social media, mobile apps, physical stores, and call centres.

By leveraging customer data and analytics, businesses can provide personalised and consistent experiences across all channels. For example, customers can begin their shopping journey online, browse products in-store, and complete their purchases through a mobile app. By providing an omni-channel experience, businesses can increase customer engagement, improve customer loyalty, and drive sales.

Net Promoter Score (NPS) is a form of asking the customers’ the likelihood of them recommending the product/service/company to others; typically a single question survey.

NPS is calculated based on a customer’s response to a single question: “How likely are you to recommend our product/service to a friend or colleague?” Customers are asked to rate their likelihood on a scale of 0 to 10.

Based on their responses, customers are categorised into three groups: detractors (0-6), passives (7-8), and promoters (9-10). The NPS is then calculated by subtracting the percentage of detractors from the percentage of promoters.

NPS is a widely used metric in customer experience management and is used to track customer loyalty over time. By improving their NPS, businesses can increase customer retention, reduce customer acquisition costs, and generate more referrals.

Monthly recurring revenue is the measure of a business’ predictable monthly revenue resulting from all active subscriptions. It is calculated by multiplying the number of paying customers by the monthly subscription fee.

MRR provides businesses with a more accurate and predictable way to forecast revenue and growth, as it takes into account the recurring nature of subscription-based businesses. By increasing MRR, businesses can improve their cash flow, reduce customer acquisition costs, and increase customer lifetime value. MRR is commonly used in Software-as-a-Service (SaaS) businesses, as well as in other subscription-based industries such as media, telecommunications, and eCommerce.

Minimum viable product is an earlier version of a product that helps that attracts early adopters and gather feedback for future development.

The goal of an MVP is to test and validate a business idea or hypothesis with the least amount of effort and investment, while still delivering value to early adopters. By releasing an MVP, businesses can gather valuable feedback from users, validate assumptions, and identify areas for improvement, before investing significant time and resources into developing a fully-featured product.

The MVP approach is commonly used in startups and innovation projects, where there is a high degree of uncertainty and risk involved, and where speed to market and agility are critical for success.