Duoplanes 5 Core Values\n\n✅Wow The Customer\n\nWe take customer service to another level by proactively looking for ways to delight them

Duoplane

Creating a product is hard. The word sounds innocuous enough, but these days, “product” suggests many moving parts: research, design, workflow, project management, marketing, sales, and fulfillment. Depending on the product, you might use a 100 products, tools, and services just to push it out the door. I’ve limited this post to 33 tools for product creation. I need to get back to work on “Better Credit in 30 Days: The Cheatsheet for Aspiring Travel hackers.” Those of us participating in Gumroad’s must strike a balance between working hard with the tools we already know and working smart with new tools that increase speed and efficiency. When you’re trying to create something out of nothing in ten days, smart quickly becomes stupid. Small Product Lab Credit: Sergei Zolkin (via Unsplash) You spend two hours researching the best, shiniest word processor with the slickest interface. If you had instead spent two hours writing with a Google Doc, you’d be that much closer to finishing your product. Your search for the “right” or “best” tool was simply inertia. Yeah, balance. Perfect is the enemy of done. Perfectionism is paralysis. Shiny tools are distractions. They help you miss deadlines, not meet them. Remember that money in the bank will make your product’s flaws seem less deadly. You can suck out the poison in v1.1. So I caution everyone against changing workflow mid-project. Stick with the boring tools you’ve got, even their edges are dull and notched. But if — and that’s a big IF — one or more of my favorite products, services, and tools below represents a sharpener, then by all means help yourself. Focus. Finish. Make at least $1. Research + Education Disclaimer: Doing research is an awful lot like questing for the perfect tool. You have the impression of forward momentum, but you’re really stuck. You really don’t need to know more before you get started unless of course you haven’t validated your product idea yet. If you’re still trying to identify a product that people will buy, then start with customer conversations, effective research, and smart pricing. — Buy and read and find gold in customer conversations. Learn from people’s behavior, not their opinions. Avoid wasting tons of time on doomed products. Don’t use that “hindsight is 20–20” and “fail forward” malarkey to justify avoidable mistakes and unnecessary failures. Pick the right stuff to create from the get-go. Rob Fitzpatrick The Mom Test , — Do a Google search for “ ” and learn from the often profane, ever delightful Belle of Bootstrapping. She’ll make you laugh out loud while divesting you of your excuses, doubts, and delays. She has launched too many unsuccessful products to be eager to do it again. Amy Hoy sales safari research — Try this tiered approach to . For years people have been telling me I should be friends with this guy. After reading his book and a handful of posts, I’m inclined to agree with them. Nathan is honest, down to earth, and noticeably lacking in infomarketer b*s* department. He has a family to support, so he has no interest in shortcuts. Nathan Barry pricing Authority blog Design + Prototyping — When I don’t have the time to hire a professional designer, I use this simplified, easy-to-learn design app for quick design projects. I learned from this . Also, check out about using Sketch for print design. Sketch tutorial series this Medium story — Non-designers like myself can create designs from scratch in a couple of minutes. Canva.com — Choose a color you like, then use this app to generate a palette of colors to go along with it. Coolors — Create interactive prototypes that people can access and respond to online. Invision — The Mac equivalent of PowerPoint is still my go-to for presentations and UI/UX mockups of mobile apps. Keynote — This online photo editor does basic editing in less time than it takes Photoshop to open. I mostly use it to round the corners on photos and make them transparent. PicMonkey — Nathan Barry turned me on to this curated collection of understated backgrounds and textures for ebook cover designs, website banners, and landing pages SubtlePatterns.com — Pick from a massive, high-quality collection of icons for everything you can imagine. The Noun Project — Need a beautiful, atmospheric image for some piece of your project? Look no further. Or rather, see the image above. Unsplash — Need a nice picture of a spicy tuna roll? Or a dingbat tourist at the Leaning Tower of Pisa? Or some other free, license-free, royalty-free image for a blog post? Look no further. Creative Commons Image Search — Put a free, pretty looped video in the background somewhere. Coverr Workflow + Project Management — Whether or not you’ve heard of it, you’ll love it. Slack serves as a central hub for your internal communications. I’ve found it to be more effective for collaboration than text messaging, email, and Skype. You can even route all of your Trello notifications into Slack. Slack — Think of Trello as a digital white board. Each card is a single task on a sticky note. Each droplane is a column of related tasks for finishing a deliverable. Check out my short screencast video about . Trello using Trello for Small Product Lab — My catch-all storage tank for all things web enables me to start a blog post on my MacBook Air and finish it on my phone. Evernote — My digital locker stores and backs up all my files. I can share anything easily with other folks. Dropbox — I paid a virtual assistant about $50 total to do twenty hours of internet research. Check out this blog post on . Upwork.com how to hire freelancers on Upwork — Collaborate on documents and spreadsheets. Store stuff. For free. Google Drive — Record and edit screencasts for product bonuses, blog posts, and simply to teach friends and colleagues how to do something ScreenFlow — A fantastic tool that I use daily for time tracking, invoicing, and accepting online payments Harvest Preview — This Mac app comes pre-loaded on every Macbook and makes adding pages to and deleting them from PDFs easy. I believe still hold true for OS X El Capitan. these tricks for OS X Yosemite — This is the robust word processing and project organization tool that I used to write 50,000 words in 30 days. Scrivener — Duh. Google Calendar — This app secs with your Google Calendar. Set your availability, create different types of appointments that people can book, and cut down on the back-and-forth. Just send people your Calendly link. Calendly — For less than $100, you can give your listeners better audio and a better overall experience. Snowball — Use this nifty little Skype plug-in to record both screens in a video interview. ecamm Call Recorder — I use Skype video chat, ecamm Call Recorder, and ScreenFlow to record and edit interviews. Skype Marketing — Email marketing for serious bloggers with embeddable sign-up forms, landing pages, regular ol’ email marketing, and myriad other snazzy features; awesome support powered by a team of smart, passionate human beings. ConvertKit — Free content management system with thousands of helpful plug-ins, including my favorite . My favorite sites for inexpensive themes are , , and . WordPress Yoast SEO Elegant Themes Woo Themes Theme Forest Sales, Fulfillment & Followup — I love the easy setup, beautiful shopping cart, and fair pricing. Gumroad — I prefer Typeform’s UI/UX for customer surveys. A paid account unlocks , which means that you can accept payment at the end of a form. Awesome. Typeform Stripe integration — I use this online payment processing platform with Harvest and Typeform. Stripe — If you product requires any kind of customer support, then move everything over to Zendesk as soon as possible. Zendesk Bonus Round — Still need a tool for a specific application and can’t find one? Try Product Hunt. If a quick search doesn’t turn up anything, the tool doesn’t exist. And maybe you just stumbled across the idea for your next product. Product Hunt Hope this helps! If you want to read more of this kind of content, be sure to sign up below. I write about business and freelancing on a regular basis. P.S. Did you learn anything? Hit the heart button below and recommend the story. Also, . That way, I can share you more stories and insights as I publish them. please subscribe here Originally published at Austin L. Church .

33 Tools for Product Creation (But Don’t Get Distracted)

On the 15th May Cavalier set out from Tarnac

For a very long time, I was a big fan and advocate of GraphQL's and directives.
Actually, I've implemented them in my own GraphQL server implementation in Go . @defer @stream almost 3 years ago At that time, I was using a stream of JSON-Patch operations to continuously update the client. Recently, I've added support for TypeScript Operations to WunderGraph, including support for Subscriptions through Async Generators. After implementing this feature and playing around with it, I've realized that and are complete overkill, and the whole idea of incrementally loading data can be done in a much simpler way. @defer @stream Before we can compare the two approaches, we need to understand how and work. @defer @stream How the @defer and @stream Directives Work I'm using the Example from the . DeferStream RFC query {
  person(id: "cGVvcGxlOjE=") {
    ...HomeWorldFragment @defer(label: "homeWorldDefer")
    name
    films @stream(initialCount: 2, label: "filmsStream") {
      title
    }
  }
}
fragment HomeWorldFragment on Person {
  homeworld {
    name
  }
} We're loading the person with the ID . cGVvcGxlOjE= For this person, we're loading only the name and the first two films synchronously. The is loaded asynchronously, and all films beyond the first two are loaded asynchronously. HomeWorldFragment From the example RFC, we get back the following responses: {
  "data": {
    "person": {
      "name": "Luke Skywalker",
      "films": [
        { "title": "A New Hope" },
        { "title": "The Empire Strikes Back" }
      ]
    }
  },
  "hasNext": true
} The first response is as expected; the only notable thing is the field which indicates that there are more responses to come. hasNext {
  "label": "homeWorldDefer",
  "path": ["person"],
  "data": {
    "homeworld": {
      "name": "Tatooine"
    }
  },
  "hasNext": true
} The second response is the which is loaded asynchronously. HomeWorldFragment The field is used to identify the response. The field is used to identify the location in the response where the data should be inserted. label path The field indicates that there are still more responses to come. hasNext {
  "label": "filmsStream",
  "path": ["person", "films", 2],
  "data": {
    "title": "Return of the Jedi"
  },
  "hasNext": false
} The third response is the first film beyond the first two films. The field is used to identify the location in the response where the data should be inserted. The field indicates that there are no more responses to come. path hasNext According to the RFC, this approach has the following : benefits Make GraphQL a great choice for applications that demand responsiveness. Enable interoperability between different GraphQL clients and servers without restricting implementation. Enable a strong tooling ecosystem (including GraphiQL). Provide concrete guidance to implementers. Provide guidance to developers evaluating whether to adopt incremental delivery. At the same time, the RFC also lists the following : “Type Generation Supporting - @defer can add complexity to type-generating clients. Separate types will need to be generated for the different deferred fragments. Caveats These clients will need to use the label field to determine which fragments have been fulfilled to ensure the application is using the correct types. Object Consistency - The GraphQL spec does not currently support object identification or consistency. It is currently possible for the same object to be returned in multiple places in a query. If that object changes while the resolvers are running, the query could return inconsistent results. @defer/@stream does not increase the likelihood of this, as the server still attempts to resolve everything as fast as it can. The only difference is some results can be returned to the client sooner. This proposal does not attempt to address this issue. Can @defer/@stream increase risk of a denial of service attack? This is currently a risk in GraphQL servers that do not implement any kind of query limiting as arbitrarily complex queries can be sent. Adding @defer may add some overhead as the server will now send parts of the query earlier than it would have without @defer, but it does not allow for any additional resolving that was not previously possible.” Why the @defer and @stream Directives Are Overkill First of all, I want to say that I love the idea of incrementally loading data, and I have a lot of respect for the people who came up with this idea and participated in this or any other RFC that has something to do with this topic. So please, don't take this as a personal attack on anyone. I don't criticize your work; I just want to point out that there is a much simpler way to achieve the same goal. So what follows now is my personal opinion, which is based on years of experience working with and implementing GraphQL as well as building WunderGraph. First of all, this RFC has been in the making for many years without getting merged into the GraphQL spec. As many library and framework authors were quite excited about this feature, they implemented it in their own way. So there are now many implementations of and out there. @defer @stream This is a nightmare because how should clients know which implementation the server is using? Additionally, the RFC is quite complex and requires a lot of work to implement. All client and server implementations have to implement handling of and directives. @defer @stream It's a lot of work to implement this feature in a reasonable way. Let me give you an example from GraphQL Yoga. Again, not criticizing the work of the GraphQL Yoga team, just trying to point out the complexity of this feature. import { createYoga, createSchema, Repeater } from 'graphql-yoga'
import { createServer } from 'node:http'
import { useDeferStream } from '@graphql-yoga/plugin-defer-stream'
 
const yoga = createYoga({
  schema: createSchema({
    typeDefs: /* GraphQL */ `
      type Query {
        alphabet: [String!]!
      }
    `,
    resolvers: {
      Query: {
        alphabet: () =>
          new Repeater<string>(async (push, stop) => {
            const values = ['a', 'b', 'c', 'd', 'e', 'f', 'g']
            const publish = () => {
              const value = values.shift()
              console.log('publish', value)
 
              if (value) {
                push(value)
              }
 
              if (values.length === 0) {
                stop()
              }
            }
 
            let interval = setInterval(publish, 1000)
            publish()
 
            await stop.then(() => {
              console.log('cancel')
              clearInterval(interval)
            })
          })
      }
    }
  }),
  plugins: [useDeferStream()]
})
 
const server = createServer(yoga)
 
server.listen(4000, () => {
  console.info('Server is running on http://localhost:4000/graphql')
}) This server allows us to stream the alphabet. We set up a repeater that publishes a letter every second. Let's assume we actually have a data source that provides us with one letter every second. If we go back to the RFC example, it allowed us to use the argument to specify how many items we want to receive in the first response. initialCount First, this argument is missing in the Yoga implementation, but they could probably add it. But even if they added it, we'd still have the same problem. How does the user of the API know how many items to request in the first response? If we don't have fine-grained control over the data flow, how can we implement this feature efficiently? Imagine you're building a public GraphQL API, and someone asks for ridiculous values. initialCount You now have to add extra logic to validate the argument and protect your server. initialCount What if a user applies the directive to fields that are not supposed to be deferred? @defer E.g., if you're loading a user profile from the database, we will always load the user id, name, and email address using a single database query. If we now apply the directive to the email address, what is supposed to happen? @defer Should we load the email address in a separate database query? Should we load the email address in the same database query but defer it? Or should we just ignore the directive and return the email address in the first response? @defer What happens if an attacker intentionally sends queries with endless numbers of directives? @defer Should we now rate limit the use of directives? @defer Technically possible, but it just adds more complexity to the implementation. Keep in mind that every single implementation of and has to implement all of this logic. Last but not least, and that's what I'm afraid of the most, we could just hide all of this complexity from the user and swallow the performance penalty in the framework. @defer @stream This would mean that resolvers would not be aware of the and directives. @defer @stream However, this would lead to very inefficient implementations. Load all the data from the database, then apply the and directives and then return the data to the client; what's the point? @defer @stream Let's put an end to this rant and talk about a much simpler solution. What problem are we trying to solve here? What Problem Are We Solving With the and Directives in GraphQL? @defer @stream We need a blob of data in the user interface, but loading it all at once would be too slow. This can have multiple reasons: The data is too big to load all at once (e.g., a list of 1000 items) We need to load the data from multiple sources, one of which is slow How Does WunderGraph Solve This Problem? WunderGraph compiles GraphQL Operations into JSON-RPC requests. E.g., a GraphQL Subscription is turned into a stream of newline delimited JSON objects. Up until recently, you've had to implement Subscriptions in your GraphQL server and plug this server as a data source into WunderGraph, allowing you to expose the Subscription as a JSON-RPC stream. As I've said above, we've recently added support to implement JSON-RPC Operations directly in WunderGraph using TypeScript, supporting Queries, Mutations, and Subscriptions. Let's take a look at how we could implement the example from the RFC using a WunderGraph Subscription / JSON-RPC stream. // src/operations/user.ts
import { createOperation, z } from '../../generated/wundergraph.factory';

export default createOperation.subscription({
	input: z.object({
		id: z.string(),
	}),
    response: z.object({
        name: z.string(),
        films: z.array(z.object({
            title: z.string(),
        })),
        homePlanet: z.object({
            name: z.string(),
        }).nullable(),
    }),
	handler: async function* (ctx) {
		try {
		    const userPromise = db.user.findUnique({
                where: {
                    id: ctx.input.id,
                },
            });
            const filmsPromise = db.film.findMany({
                where: {
                    id: {
                        in: user.filmIds,
                    },
                },
                limit: 2,
            });
            const homePlanetPromise = db.planet.findUnique({
              where: {
                id: user.homePlanetId,
              },
            });
            // we've defined three promises, but we don't want to wait for all of them
            const [user, films] = await Promise.all([userPromise, filmsPromise]);
            // we only wait for the user and the first two films to be loaded
            // Once these two promises are resolved, we yield the first chunk of data to the client
            yield {
                data: {
                    person: {
                        name: user.name,
                        homePlanet: null, // we don't have the home planet yet, so we set it to null
                        films,
                    },
                },
            };
            // Now we wait for the home planet to be loaded
            const homePlanet = await homePlanetPromise;
            // Once the home planet is loaded, we combine the data from the first two promises with the home planet
            // and yield the second chunk of data to the client
            yield {
                data: {
                    person: {
                        name: user.name,
                        homePlanet,
                        films,
                    },
                },
            };
            let skip = 2;
            const allFilms = Array.from(films);
            while (true) {
                // We now load the remaining films in chunks of 1
                const films = await db.film.findMany({
                    where: {
                        id: {
                            in: user.filmIds,
                        },
                    },
                    skip,
                    limit: 1,
                });
                if (films.length === 0) {
                    break;
                }
                allFilms.push(...films);
                // We append the additional films to the list of films we've already loaded
                // and yield the updated response to the client
                yield {
                      data: {
                          person: {
                              name: user.name,
                              homePlanet,
                              films: allFilms,
                          },
                      },
                  };
                  skip += 1;
            }
		} finally {
			console.log('Client disconnected');
		}
	},
}); The function allows us to implement a JSON-RPC Stream using an async generator function. Compared to an async function, an async generator function can yield multiple values. createOperation.subscription So, instead of returning a single value, like an async function, we can yield multiple values. Most importantly, we have exact control over the data flow. We're not limited to implementing a resolver that returns a stream of values. As we can yield multiple times, we can easily achieve the same result as the and directives. @defer @stream On the client side, you can use the generated type-safe client to subscribe to the stream. When there are no more yield statements in the generator function (when it returns), the stream will be closed. Here's what the client code would look like: import {useSubscription, withWunderGraph} from '../../components/generated/nextjs';

const Functions = () => {
    const {data} = useSubscription({
        operationName: 'user',
        input: {
            id: '1',
        },
    });
    return (
        <div>
            <h1>User</h1>
            <div>
                <div>name: {data.person.name}</div>
                {data.person.homePlanet && <div>homePlanet: {data.person.homePlanet}</div>}
                <div>films: {data.person.films.map((film) => film.title).join(', ')}</div>
            </div>
        </div>
    );
};

export default withWunderGraph(Functions); The client code is quite simple, and it's type-safe. This is because WunderGraph infers the response type from the operation definition. We can define the shape in the operation definition by creating a schema. response zod The generated client will use this schema to infer the response type. However, defining the response shape is optional. If we don't define it, the client will infer the response type from the operation handler, so it's up to the developer to either define the shape themselves or infer it from the operation handler. How Wundergraph Reduces the Amount of Data That Needs to Be Transferred As you can see in the example above, we've successfully implemented the and directives with a simple TypeScript function. @defer @stream So, from a developers' perspective, the problem seems to be solved. However, there's still one problem left. It seems like with every statement, we're sending the entire response object to the client. This means that we're sending the same data over and over again, only to add a single field or append it to an array. yield GraphQL Subscriptions suffer from the same problem. If you're using Subscriptions in your GraphQL server, and only a single field changes between two updates, you're still sending the entire response object to the client. WunderGraph solves this problem elegantly by using a technique called . Instead of reinventing the wheel and building our own implementation of incrementally loading data, we're using the JSON Patch standard to describe the changes between two updates. JSON Patch JSON Patch (RFC 6902) is a standard for describing changes to a JSON document. It's a format for expressing a sequence of operations to apply to a JSON document. Here's an example: [
  { "op": "replace", "path": "/homePlanet", "value": { "name": "Tatooine" } },
  { "op": "add", "path": "/films/-", "value": { "title": "A New Hope" } },
  { "op": "add", "path": "/films/-", "value": { "title": "The Empire Strikes Back" } },
  { "op": "add", "path": "/films/-", "value": { "title": "Return of the Jedi" } }
] The JSON Patch above describes the following changes: Replace the field with a new object homePlanet Add three new films to the array films The WunderGraph Server calculates the list of JSON Patch operations for each update. If the JSON Patch is smaller than sending the entire response object, the WunderGraph Server will send the JSON Patch to the client. In some cases, especially when the initial response is small, the JSON Patch will be larger than the entire response object. In this case, the WunderGraph Server will send the entire response object to the client instead of the JSON Patch. All WunderGraph clients support handling JSON Patch operations out of the box,
but it's opt-in, so a client can choose if they want to use JSON Patch or not. Here's a curl command that shows how to subscribe to a Subscription Operation without using JSON Patch: curl http://localhost:9991/operations/user If you want to use JSON Patch, use the following command: curl http://localhost:9991/operations/user?wg_json_patch Additionally, you can also combine this with SSE (Server-Sent Events) by using the following command: curl http://localhost:9991/operations/user?wg_json_patch&wg_sse Conclusion I think that in 90% of the cases, you don't need and at all. For those rare cases where you want to micro-optimize a page, WunderGraph gives you all the tools you need to efficiently load data incrementally. @defer @stream More importantly, we're building on top of existing standards. As I said earlier, I was a big fan of the and directives. @defer @stream However, I think that there's a much simpler solution to the problem without having to introduce new directives to the GraphQL spec and without having to implement a new protocol. Streaming JSON Patch is a simple solution that works beyond just GraphQL. That said, WunderGraph also applies the same technique to GraphQL Subscriptions and Live Queries. So, if you're using GraphQL Subscriptions in your application already, you can easily switch to WunderGraph and the generated client & server will transparently use JSON Patch to reduce the amount of data that needs to be transferred. The and directives put control over the data flow in the hands of the API consumer, who not necessarily has the required knowledge to apply them in the most efficient way. @defer @stream Micro-optimizations should be avoided in most cases, but if you really need them, control over the data flow should be in the hands of the API provider. Try It Out for Yourself If you'd like to try out this feature for yourself, check out the on GitHub and try out one of the examples. WunderGraph Mono Repo Also published here

These GraphQL Directives Are Overkill

We all are in an era where everyone is familiar with e-commerce. We are all a part of this moment where each and every one of us has been associated with an e-commerce website. These websites are running with the pace as users buy clothes, food, entertainment, furniture, holidays, etc. all via an online shopping portal. It is seen to be easy and user-friendly due to the design of the e-commerce website that has been used. Talking about this website design that has been carefully planned out to help the consumers and make them come back again. Growing your own e-commerce website is a massive challenge and to sustain among all the competition out there is another considerable task. BigCommerce says that e-commerce is growing 25 percent year-over-year. And at least it won’t stop as the majority of users prefer shopping online Vs shopping in a store. “To increase your e-commerce website traffic, there are a few primary fundamentals to be considered to boost online sales for an e-commerce website. With proper design and conversion rate optimization, the best way to leverage the proper sales management tools and resources can be the best way. With survey and analysis try to reach What Customers Are Looking for. These days’ suggestion can be a good option to filter out search results that can save a lot of time and effort.” Traffic Few cases In an online shoe store, a user would find it extremely useful to filter out the different size options in the products. After all, it allows users customers to opt more flexible options and to find their products. Likewise, in an online bookstore if the user is looking for a present for his/her mother. If the user could filter out all the books that would interest and only focus on one type of type. Sometimes it can be very frustrating when the user finds that the website isn’t designed very well, so the user would like to navigate away to another source. Likewise, if user search for something to buy online and go through a ridiculous confusion like checkout process would end up losing customer’s interest for your business. Therefore, e-commerce websites should not be all about making an online shopping portal pleasingly attractive for users. Rather it is much more important to help the customer to find out what they are looking for. And all this would make it as easy as possible to make a purchase without any hassle. If everything goes well the process can go from the landing page to placing an order. And more likely it will end up with a positive action i.e.; get payment from user sides. “If you want to run a successful eCommerce site, you need to make sure that your site is as easy to use as possible and user-friendly”. Keep the Search Bar center of the point It is one of the most important parts of an e-commerce website. The search bar is one of the most used features by customers. The search bar helps people to easily find what they are eyeing for. Giants like Google are running on the basis of search bar only. Thus, a search bar provides a good suggestion based on user experience. Due to these features, the search bar remains the main focus of many e-commerce websites. Analyzing the last few years’ data it is seen that search bar suggestion greatly helps you in keeping customers on a website for a long duration. To ease the user experience, it will be tempted to navigate and look at more products of the website. Try to Use Attractive Images of product Talking about eCommerce it is all about selling and getting a product online. The critical part of online websites is the online customer does not get to see and touch the product until it is delivered. Therefore, to create the transparency among the customers the quality of the product images must be best in all ways. For customer satisfaction, it is important to include high-quality images of your products. If your website comprises a lot of quality images that means it will help you to attract more and more business. Moreover, it is decisive to layout. design a product page Apart from that opt for a product slideshow or tiled thumbnails with quality images on the site. The user while shopping online gaze the images only and decide whether to buy or not, therefore blurry or pixelated images will only put people off the website. Make Your Site Easy to Navigate It is the major part to make it as easy as possible for people to find what they are looking for. Large e-commerce website tends to have a lot of different categories. These categories help the user to make these as reachable and convenient as possible. while building good website structure Flyout and dropline menus play a vital role in order to keep your page from being too untidy. There is a term “Breadcrumbs” that is another design feature that helps to make site navigation a flat and tranquil process. The Checkout Process must be as Easy as Possible Long Checkout Pages this is one thing that can really irritate customers. An e-commerce website is complicated with such a process and customers get very annoyed. Spending valuable time in filling checkout page with needless information or having to go through a drawn-out process is irritating. It is seen that one step checkout pages are much more beneficial. The customer doesn’t want to get into such loopholes whereas, they just want to pay for the product that they have picked out. E-commerce sites which have as easy as a possible way for people to pay for goods are considered to be user-friendly. Ultimately, the easier websites make it easy for the customer to pay without struggling thereby more likely there are chances that they will return. Wrapping Up When it comes about eCommerce tips one’s thing that is most imperative: “start focusing on your eCommerce business layout”. Yes, initially you’ll make some mistakes and face struggle but you’ll also recover from them quickly. Therefore, only dream of starting a business not realizing how easy it is to make it a reality. Well it is knowing that the ecommerce economy is dignified for significant growth in the coming years. That means focusing on the critical tips for the offers success that can give the positive outcomes. Thus, if you approach it in the right way you can expect to see results. development of ecommerce app

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