Posts

Contextual Deep Links for Relevant Mobile App Experiences

A contextual deep link is a kind of deep link that helps bridge that gap by connecting the destination with the context behind the user’s click. Instead of simply opening the app, it can carry information about the intended page, campaign, referral source, or promotion, allowing the app to route the user and personalise the experience where appropriate. For mobile marketers, this matters beyond navigation. Contextual deep linking can support more relevant acquisition journeys, re-engagement campaigns and post-install experiences. When paired with mobile attribution , it can also help teams understand how campaign traffic progresses towards meaningful in-app actions. The important distinction is that contextual deep linking is not a separate operating system protocol. It describes an approach to using deep links and associated context. The exact capabilities depend on the link infrastructure, app implementation and platform support. What is a contextual deep link?...

Average Order Value

Image
What Is Average Order Value? Average order value is one of those metrics used to understand how much customers actually spend in a certain period of time. The measurement is very useful for the business to understand customers’ buying behaviors, evaluate results, and discover new possibilities to derive more money from the existing orders. With the help of average order value, a company can measure the effectiveness of its pricing strategies and other tactics like cross-selling and upselling. If, for example, an online shop earns ₹2,00,000 from 500 orders, this means that the average order value is ₹400 which implies that every order generates ₹400 of revenues in the analyzed period. High average order value means that customers are buying more products or that they are made of more expensive items. Of course, not every company is profitable just because its average order value is high. Factors like discounts, product costs, shipping costs, returns, etc., should be c...

Last Touch Attribution

Image
What Is Last Touch Attribution? The last touch attribution model is a technique used in measurement of marketing, focusing 100% of the credit for the conversion on the last eligible marketing interaction prior to the conversion. This last interaction can be derived from either a paid click, email marketing, paid advertisement on social networks, or referral visits, among others.  In contrast to multi-touch attribution models that allow sales credit to be shared among many touchpoints, the last-touch attribution model only relies on the last eligible interaction in reaching a sale. The attribution helps marketing professionals identify the campaign or channel that was responsible for the last known interaction before the customer made a purchase or subscribed to a service. For example, suppose a customer finds information about a company’s software via LinkedIn, reads the company’s blog via organic search, attends the company’s webinar, and finally receives an email...

Retargeting vs Remarketing: Learn the Differences and Determine Which One to Use

Image
When you explore retargeting vs remarketing, one thing becomes clear: not every visitor to your e-commerce site or mobile app is ready to convert on their first visit. Some may need more time to decide, while others might simply need a relevant reminder or a compelling reason to return. The Baymard Institute states that the average rate of abandoned shopping carts worldwide is 70.19% , indicating that there are still a lot of consumers interested in making purchases but who did not push through. Here is where you can take advantage of retargeting and remarketing. Both approaches allow you to reach out to consumers who have interacted with your brand before, but each of them utilizes different methods and channels, the engaged audience of consumers, and various types of consumer engagement. Understanding retargeting vs remarketing helps you choose the right approach for your marketing goals, whether you want to recover abandoned purchases, bring inactive app users back, or ...