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    Home»Business»Boosting Product Adoption with No Coding
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    Boosting Product Adoption with No Coding

    Tech Expert HubBy Tech Expert HubOctober 13, 2021Updated:July 9, 2022No Comments
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    Boosting Product Adoption with No Coding
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    Product adoption refers to how a user becomes aware of a product, understands its value, and starts using it. There are usually four phases to this process: recognition, interest, evaluation, and conversion.

    When people consider adopting the product, they often encounter metrics such as signups and daily active users. However, obtaining these metrics individually reflects whether users have successfully incorporated the product into their daily work, added it to their line of business tools, or considered it something they cannot do without. In order for a product to be adopted, its value must outweigh the effort and cost necessary to alter it.

    Keep in mind that it’s not just new users and early adopters who should win. If you add new features and make improvements, think about how you can keep existing customers happy with your products.

    Table of Contents

    • Enhancing the value of the product with no code
    • Reducing adoption friction with no code
    • Adoption-boosting improvements to products with no code
    • Metrics to measure product adoption success 

    Enhancing the value of the product with no code

    No code can make changes to marketing and product features to help users deliver more than they want. Marketing teams can offer discounts, promotions, and giveaways that increase the perceived value of a product, including access to more advanced features.

    The product team can launch new features that make the product more useful. For example, an e-commerce retailer could initiate more robust recommendations using machine learning algorithms or by enabling users to add multiple profiles to different family members. 

    Only the recognition of value is the value itself. Amazon’s famous Prime Membership Program balances “free” shipping with a free annual membership, but the positive awareness of its shipping policy has attracted more than 80 million members.

    Reducing adoption friction with no code

    One of the most significant barriers to industry-wide adoption is that users have to learn something new. Whether it’s a new workflow, app interface, or control panel, learning takes mental effort. Users can tire quickly, and according to the law of inertia, users tend to stick with services they already know.

    Teams can reduce barriers by following the widely accepted design guidelines users expect, such as navigation menus, transition animations, and progress bars, to help users adopt new ones. If you think the service is familiar from the start, less learning is required.

    Product analytics allows teams to view the onboarding funnels of new users and identify areas where users are facing problems. Areas with big drops or lots of users quitting the app may be areas where you’re having trouble. 

    A peer-to-peer shopping app found a large drop in users following a particular landing page on its new user referral funnel. The team rewrote the copy, doubling the number of successful redirects.

    Teams can also conduct their customer surveys through surveys, interviews, journey mapping, and mission analysis. UX researchers use products to research customers.

    No code can also conduct first-party customer research through surveys, interviews, journey mapping, and task analytics, and UX researchers can study customers using products as they go about their day.

    Consider offering the following to users if the whole adoption process seems frustrating:

    • Interactive walkthroughs
    • video tutorials
    • onboarding via SMS, push notifications, and emails
    • support FAQs and online forums
    • user satisfaction surveys

    Adoption-boosting improvements to products with no code

    You can improve your team’s product analysis and product adoption through clear definitions, such as:

    • Onboarding of new customers, which is aimed at helping them find value right away,
    • The design of new products that facilitates the discovery of essential features and achieves vital actions to drive adoption is critical.
    • As people start using your product, provide them with clear instructions and support messages within the product
    • Adoption workflows designed to address and resolve any adoption roadblocks

    No code also helps product teams plan improvements to their websites or platforms. By improving the user experience and individual features, as well as existing customer behavior, you can improve the overall experience.

    Metrics to measure product adoption success 

    To determine how a customer utilizes a product, companies track behavior that reflects the way the user uses it.

    It cannot be easy to understand what counts as a full hire. In general, a “recruitment event” is an action within a product that best demonstrates that the user is getting value from the product, that is, that the user has done something designed to be done on a website or app. it should be.

    You may want to use metrics like pageviews to measure recruits—pageviews are easy to track and measure—but these metrics tell you if your users are getting value from your product. Better still, count the number of people who have taken necessary actions on your product. This number is a much more reliable indicator of retention and continued use.

    For example, HelloSign (a product that allows users to sign documents digitally) needs to upload documents, request signatures, add team members, enable integration, upgrade to paid plans, and more after signing up. Actions can be performed. Each of these can count as an adoption depending on the level of detail involved. By tracking all these actions, such as how many times they occur and how often, teams can identify the steps most relevant to retention or LTV. Alternatively, no code can combine indicators from different events to determine which combination is best to derive value from the product.

    Depending on your product adoption goals with no code, you might want to monitor the following:

    • Signup to first key action conversion rate
    • Activation time (TTV) is the length of time to reach a significant activation
    • Users who complete an onboarding flow or tutorial are more likely to use the feature and use it frequently
    • Buy-in frequency

    No code can see which hiring behavior predicts the highest retention rates by examining these patterns and comparing them to those with the highest rates.

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