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  • How to increase engagement and convert them into customers

    8 septembre 2020, par Joselyn Khor — Analytics Tips, Marketing

    Long gone are the days of simply tracking page views as a measure of engagement. Now it’s about engagement analysis, which is layered and provides insight for effective data-driven decisions.

    Discover how engaged people are with your website by uncovering behavioural patterns that tell you how well your site and content is or isn’t performing. This insight helps you re-evaluate, adapt and optimise your content and strategy. The more engaged they are, the more likely you’ll be able to guide them on a predetermined journey that results in more conversions ; and helps you reach the goals you’ve set for your business. 

    Why is visitor engagement important ?

    It’s vital to measure engagement if you have anything content related that plays a role in your customer’s journey. Some websites may find more value in figuring out how engaging their entire site is, while others may only want to zone in on, say, a blogging section, e-newsletters, social media channels or sign-up pages.

    In the larger scheme of things, engagement can be seen as what’s running your site. Every aspect of the buyer’s journey requires your visitors to be engaged. Whether you’re trying to attract, convert or build a loyal audience base, you need to know your content is optimised to maintain their attention and encourage them along the path to purchase, conversion or loyalty.

    How to increase engagement with Matomo

    You need to know what’s going right or wrong to eventually be able to deliver more riveting content your visitors can’t help but be drawn to. Learn how to apply Matomo’s easy-to-use features to increase engagement :

    1. The Behaviour feature
    2. Heatmaps
    3. A/B Testing
    4. Media Analytics
    5. Transitions
    6. Custom reports
    7. Other metrics to keep an eye on

    1. Look at the Behaviour feature

    It allows you to learn how visitors are responding to your content. This information is gathered by drawing insight from features such as site search, downloads, events and content interactions. Learn more

    Matomo's behaviour feature

    Matomo’s top five ways to increase engagement with the Behaviour feature :

    Behaviour -> Pages
    Get complete insights on what pages your users engage with, what pages provide little value to your business and see the results of entry and exit pages. If important content is generating low traffic, you need to place it where it can be seen. Spend time where it matters and focus on the content that will engage with your users and see how it eventually converts them into customers.

    Behaviour -> Site search
    Site search tracks how people use your website’s internal search engine. You can see :

    • What search keywords visitors used on your website’s internal search.
    • Which of those keywords resulted in no results (what content your visitors are looking for but cannot find).
    • What pages visitors visited immediately after a search.
    • What search categories visitors use (if your website employs search categories).

    Behaviour -> Downloads
    What are users wanting to take away with them ? They could be downloading .pdfs, .zip files, ebooks, infographics or other free/paid resources. For example, if you were working for an education institution and created valuable information packs for students that you made available online in .pdf format. To see an increase in downloads meant students were finding the .pdfs and realising the need to download them. No downloads could mean the information packs weren’t being found which would be problematic.

    Behaviour -> Events
    Tracking events is a very useful way to measure the interactions your users have with your website content, which are not directly page views or downloads.

    How have Events been used effectively ? A great example comes from one of our customers, Catalyst. They wanted to capture and measure the user interaction of accordions (an area of content that expands or closes depending on how a user interacts with it) to see if people were actually getting all the information available to them on this one page. By creating an Event to record which accordion had been opened, as well as creating events for other user interactions, they were able to figure out which content got the most engagement and which got the least. Being able to see how visitors navigated through their website helped them optimise the site to ensure people were getting the relevant information they were craving.

    Behaviour -> Content interactions
    Content tracking allows you to track interaction within the content of your web page. Go beyond page views, bounce rates and average time spent on page with your content. Instead, you can analyse content interaction rates based on mouse clicking and configuring scrolling or hovering behaviours to see precisely how engaged your users are. If interaction rates are low, perhaps you need to restructure your page layout to grab your user’s attention sooner. Possibly you will get more interaction when you have more images or banner ads to other areas of your business.

    Watch this video to learn about the Behaviour feature

    2. Set up Heatmaps

    Effortlessly discover how your visitors truly engage with your most important web pages that impact the success of your business. Heatmaps shows you visually where your visitors try to click, move the mouse and how far down they scroll on each page.

    Matomo's heatmaps feature

    You don’t need to waste time digging for key metrics or worry about putting together tables of data to understand how your visitors are interacting with your website. Heatmaps make it easy and fast to discover where your users are paying their attention, where they have problems, where useless content is and how engaging your content is. Get insights that you cannot get from traditional reports. Learn more


    TRY IT FOR FREE

    3. Carry out A/B testing

    With A/B Testing you reduce risk in your decision-making and can test what your visitors are responding well to. 

    Matomo's a/b testing feature

    Ever had discussions with colleagues about where to place content on a landing page ? Or discussed what the call-to-action should be and assumed you were making the best decisions ? The truth is, you never know what really works the best (and what doesn’t) unless you test it. Learn more

    How to increase engagement with A/B Testing : Test, test and test. This is a surefire way to learn what content is leading your visitors on a path to conversion and what isn’t.

    4. Media Analytics

    Tells you how visitors are engaging with your video or audio content, and whether they’re leading to your desired conversions. Track :

    • How many plays your media gets and which parts they viewed
    • Finish rates
    • How your media was consumed over time
    • How media was consumed on specific days
    • Which locations your users were viewing your content from
    • Learn more

    Media Analytics

    How to increase engagement with Media Analytics : These metrics give a picture of how audiences are behaving when it comes to your content. By showing insights such as, how popular your media content is, how engaging it is and which days content will be most viewed, you can tailor content strategies to produce content people will actually find interesting and watch/listen.

    Matomo example : When we went through the feature video metrics on our own site to see how our videos were performing, we noticed our Acquisition video had a 95% completion rate. Even though it was longer than most videos, the stats showed us it had, by far, the most engagement. By using Media Analytics to get insights on the best and worst performing videos, we gathered useful info to help us better allocate resources effectively so that in the future, we’re producing more videos that will be watched.

    5. Investigate transitions

    See which page visitors are entering the site from and where they exit to. Transitions shows engagement on each page and whether the content is leading them to the pages you want them to be directed to.

    Transitions

    This gives you a greater understanding of user pathways. You may be assuming visitors are finding your content from one particular pathway, but figure out users are actually coming through other channels you never thought of. Through Transitions, you may discover and capitalise on new opportunities from external sites.

    How to increase engagement with Transitions : Identify clearly where users may be getting distracted to click away and where other pages are creating opportunity to click-through to conversion. 

    6. Create Custom Reports

    You can choose from over 200 dimensions and metrics to get the insights you need as well as various visualisation options. This makes understanding the data incredibly easy and you can get the insights you need instantly for faster results without the need for a developer. Learn more

    Custom Reports

    How to increase engagement with Custom Reports : Set custom reports to see when content is being viewed and figure out how engaged users are by looking at different hours of the day or which days of the week they’re visiting your website. For example, you could be wondering what hour of the day performed best for converting your customers. Understanding these metrics helps you figure out the best time to schedule your blog posts, pay-per-click advertising, edms or social media posts knowing that your visitors are more likely to convert at different times.


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    7. Other metrics to key an eye on …

    A good indication of a great experience and of engagement is whether your readers, viewers or listeners want to do it again and again.

    “Best” metrics are hard to determine so you’ll need to ask yourself what you want to do or what you want your site to do. How do you want your users to behave or what kind of buyer’s journey do you want them to have ?

    Want to know where to start ? Look at …

    • Bounce rate – a high bounce rate isn’t great as people aren’t finding what they’re looking for and are leaving without taking action. (This offers great opportunities as you can test to see why people are bouncing off your site and figure out what you need to change.)
    • Time on site – a long time on site is usually a good indication that people are spending time reading, navigating and being engaged with your website. 
    • Frequency of visit – how often do people come back to interact with the content on your website ? The higher the % of your visitors that come back time and time again will show how engaged they are with your content.
    • Session length/average session duration – how much time users spend on site each session
    • Pages per session – is great to show engagement because it shows visitors are happy going through your website and learn more about your business.

    Key takeaway

    Whichever stage of the buyer’s journey your visitors are in, you need to ensure your content is optimised for engagement so that visitors can easily spend time on your website.

    “Every single visit by every single visitor is no longer judged as a success or a failure at the end of 29 min (max) session in your analytics tool. Every visit is not a ‘last-visit’, rather it becomes a continuous experience leading to a win-win outcome.” – Avinash Kaushik

    As you can tell, one size does not fit all when it comes to analysing and measuring engagement, but with a toolkit of features, you can make sure you have everything you need to experiment and figure out the metrics that matter to the success of your business and website.

    Concurrently, these gentle nudges for visitors to consume more and more content encourages them along their path to purchase, conversion or loyalty. They get a more engaging website experience over time and you get happy visitors/customers who end up coming back for more.


    TRY IT FOR FREE

    Want to learn how to increase conversions with Matomo ? Look out for the final in this series : part 3 ! We’ll go through how you can boost conversions and meet your business goals with web analytics. 

  • Uploading video to Twitter sometimes doesn't work

    22 juillet 2021, par K-s S-k

    I have a very difficult situation. I've already spent 2 days and couldn't find a solution. Project on Laravel. I want to upload videos to Twitter using the Twitter API endpoints. But sometimes I am getting this error :

    


    


    file is currently unsupported

    


    


    I did everything as recommended in the official documentation Video specifications and recommendations. I get an error when I set an audio codec is aac in my video file, despite the fact that it is recommended in the official documentation, but when I set the audio codec to mp3, the video is uploaded, but the sound quality is very poor, and sometimes there is no sound at all. Please forgive me if this is awkward to read, but I want to provide all of my code. Because I don't know how to solve this anymore and I think it might help.

    


    <?php

namespace App\Jobs;

use App\Models\PublishedContent;
use Atymic\Twitter\Facades\Twitter;
use GuzzleHttp\Client as GuzzleClient;
use GuzzleHttp\Exception\GuzzleException;
use Illuminate\Bus\Queueable;
use Illuminate\Support\Facades\Log;
use Illuminate\Support\Facades\File;
use Illuminate\Queue\SerializesModels;
use Illuminate\Queue\InteractsWithQueue;
use Illuminate\Contracts\Queue\ShouldQueue;
use Illuminate\Foundation\Bus\Dispatchable;
use Illuminate\Support\Str;


class PublishToTwitter implements ShouldQueue
{
    use Dispatchable, InteractsWithQueue, Queueable, SerializesModels;

    /**
     * @var
     */
    protected $publishingData;

    /**
     * Create a new job instance.
     *
     * @param $publishingData
     */
    public function __construct($publishingData)
    {
        $this->publishingData = $publishingData;
    }

    /**
     * Execute the job.
     *
     * @return void
     */
    public function handle()
    {
        $publishingData = $this->publishingData;

        if (is_array($publishingData)) {
            $publishingResult = $this->publishing(...array_values($publishingData));
            sendNotification($publishingResult['message'], $publishingResult['status'], 'Twitter', $publishingResult['link'], $publishingData['post_name'], $publishingData['user']);
        } else {
            $scheduledData = processingScheduledPost($publishingData);
            $postName = $scheduledData['scheduleData']['post_name'];
            $postContent = $scheduledData['scheduleData']['post_content'];
            $userToken = json_decode($publishingData->user_token,true);
            $requestToken = [
                'token'  => $userToken['oauth_token'],
                'secret' => $userToken['oauth_token_secret'],
            ];
            $publishingResult = $this->publishing($scheduledData['file'], $postName, $postContent, $requestToken);
            $publishingResult['status'] && PublishedContent::add($scheduledData['craft'], $scheduledData['file'], "twitter_share");
            sendResultToUser($publishingData, $scheduledData['user'], $publishingResult['message'], $postName, $publishingResult['link'], $publishingResult['publishing_status'], $scheduledData['social_media']);
            sendNotification($publishingResult['message'], $publishingResult['status'], 'Twitter', $publishingResult['link'], $postName, $scheduledData['user']);
        }
    }

    /**
     * @param $file
     * @param $postName
     * @param $postContent
     * @param $requestToken
     * @return array
     */
    private function publishing($file, $postName, $postContent, $requestToken): array
    {
        $result = [
            'status' => false,
            'link' => null,
            'message' => 'Your content can\'t successfully published on Twitter. This file is not supported for publishing.',
            'publishing_status' => 'error'
        ];

        if ((($file->refe_type !== 'text') || $file->refe_file_path) && !checkIfFileExist($file->refe_file_path)) {
            $result['message'] = 'Missing or invalid file.';
            return $result;
        }

        $filePath = $file->refe_file_path;
        $fileSize = $file->content_length;
        $tempFileName = 'temp-' . $file->refe_file_name;
        $ext = $file->file_type;
        $mediaCategory = 'tweet_' . $file->refe_type;
        $mediaType = $file->refe_type . '/' . $ext;
        $remoteFile = file_get_contents($filePath);
        $tempFolder = public_path('/storage/uploads/temp');

        if (!file_exists($tempFolder)) {
            mkdir($tempFolder, 0777, true);
        }

        $tempFile = public_path('/storage/uploads/temp/' . $tempFileName);
        File::put($tempFile, $remoteFile);
        $convertedFileName = 'converted-' . $file->refe_file_name;
        $convertedFile = public_path('/storage/uploads/temp/' . $convertedFileName);
        $command = 'ffmpeg -y -i '.$tempFile.' -b:v 5000k -b:a 380k -c:a aac -profile:a aac_low -threads 1 '.$convertedFile.'';
        exec($command);
        @File::delete($tempFile);

        try {
            $twitter = Twitter::usingCredentials($requestToken['token'], $requestToken['secret']);
            if ($file->refe_type === 'text') {
                $twitter->postTweet([
                    'status' => urldecode($postContent),
                    'format' => 'json',
                ]);

                $result['link'] = 'https://twitter.com/home';
                $result['status'] = true;
                $result['message'] = 'Your content successfully published on Twitter. You can visit to Twitter and check it.';
                $result['publishing_status'] = 'done';
            } else if ($file->refe_type === 'video' || $file->refe_type === 'image') {
                if ($file->refe_type === 'video') {
                    $duration = getVideoDuration($file->refe_file_path);

                    if ($duration > config('constant.sharing_configs.max_video_duration.twitter')) {
                        throw new \Exception('The duration of the video file must not exceed 140 seconds.');
                    }
                }

                $isFileTypeSupported = checkPublishedFileType('twitter', $file->refe_type, strtolower($ext));
                $isFileSizeSupported = checkPublishedFileSize('twitter', $file->refe_type, $fileSize, strtolower($ext));

                if (!$isFileTypeSupported) {
                    throw new \Exception('Your content can\'t successfully published on Twitter. This file type is not supported for publishing.');
                }

                if (!$isFileSizeSupported) {
                    throw new \Exception('Your content can\'t successfully published on Twitter. The file size is exceeded.');
                }

                if ($file->refe_type === 'video') $fileSize = filesize($convertedFile);

                if (strtolower($ext) === 'gif') {
                    $initMedia = $twitter->uploadMedia([
                        'command' => 'INIT',
                        'total_bytes' => (int)$fileSize
                    ]);
                } else {
                    $initMedia = $twitter->uploadMedia([
                        'command' => 'INIT',
                        'media_type' => $mediaType,
                        'media_category' => $mediaCategory,
                        'total_bytes' => (int)$fileSize
                    ]);
                }

                $mediaId = (int)$initMedia->media_id_string;

                $fp = fopen($convertedFile, 'r');
                $segmentId = 0;

                while (!feof($fp)) {
                    $chunk = fread($fp, 1048576);

                    $twitter->uploadMedia([
                        'media_data' => base64_encode($chunk),
                        'command' => 'APPEND',
                        'segment_index' => $segmentId,
                        'media_id' => $mediaId
                    ]);

                    $segmentId++;
                }

                fclose($fp);

                $twitter->uploadMedia([
                    'command' => 'FINALIZE',
                    'media_id' => $mediaId
                ]);

                if ($file->refe_type === 'video') {
                    $waits = 0;

                    while ($waits <= 4) {
                        // Authorizing header for Twitter API
                        $oauth = [
                            'command' => 'STATUS',
                            'media_id' => $mediaId,
                            'oauth_consumer_key' => config('twitter.consumer_key'),
                            'oauth_nonce' => Str::random(42),
                            'oauth_signature_method' => 'HMAC-SHA1',
                            'oauth_timestamp' => time(),
                            'oauth_token' => $requestToken['token'],
                            'oauth_version' => '1.0'
                        ];

                        // Generate an OAuth 1.0a HMAC-SHA1 signature for an HTTP request
                        $baseInfo = $this->buildBaseString('https://upload.twitter.com/1.1/media/upload.json', 'GET', $oauth);
                        // Getting a signing key
                        $compositeKey = rawurlencode(config('twitter.consumer_secret')) . '&' . rawurlencode($requestToken['secret']);
                        // Calculating the signature
                        $oauthSignature = base64_encode(hash_hmac('sha1', $baseInfo, $compositeKey, true));
                        $oauth['oauth_signature'] = $oauthSignature;
                        $headers['Authorization'] = $this->buildAuthorizationHeader($oauth);

                        try {
                            $guzzle = new GuzzleClient([
                                'headers' => $headers
                            ]);
                            $response = $guzzle->request( 'GET', 'https://upload.twitter.com/1.1/media/upload.json?command=STATUS&media_id=' . $mediaId);
                            $uploadStatus = json_decode($response->getBody()->getContents());
                        } catch (\Exception | GuzzleException $e) {
                            dd($e->getMessage(), $e->getLine(), $e->getFile());
                        }

                        if (isset($uploadStatus->processing_info->state)) {
                            switch ($uploadStatus->processing_info->state) {
                                case 'succeeded':
                                    $waits = 5; // break out of the while loop
                                    break;
                                case 'failed':
                                    File::delete($tempFile);
                                    Log::error('File processing failed: ' . $uploadStatus->processing_info->error->message);
                                    throw new \Exception('File processing failed: ' . $uploadStatus->processing_info->error->message);
                                default:
                                    sleep($uploadStatus->processing_info->check_after_secs);
                                    $waits++;
                            }
                        } else {
                            throw new \Exception('There was an unknown error uploading your file');
                        }
                    }
                }

                $twitter->postTweet(['status' => urldecode($postContent), 'media_ids' => $initMedia->media_id_string]);
                @File::delete($convertedFile);
                $result['link'] = 'https://twitter.com/home';
                $result['status'] = true;
                $result['message'] = 'Your content successfully published on Twitter. You can visit to Twitter and check it.';
                $result['publishing_status'] = 'done';
            }
        } catch (\Exception $e) {
            dd($e->getMessage());
            $result['message'] = $e->getMessage();
            return $result;
        }

        return $result;
    }

    /**
     * @param $baseURI
     * @param $method
     * @param $params
     * @return string
     *
     * Creating the signature base string
     */
    protected function buildBaseString($baseURI, $method, $params): string
    {
        $r = array();
        ksort($params);
        foreach($params as $key=>$value){
            $r[] = "$key=" . rawurlencode($value);
        }
        return $method . "&" . rawurlencode($baseURI) . '&' . rawurlencode(implode('&', $r));
    }

    /**
     * @param $oauth
     * @return string
     *
     * Collecting parameters
     */
    protected function buildAuthorizationHeader($oauth): string
    {
        $r = 'OAuth ';
        $values = array();
        foreach($oauth as $key=>$value)
            $values[] = "$key=\"" . rawurlencode($value) . "\"";
        $r .= implode(', ', $values);
        return $r;
    }
}



    


    I would be very grateful if someone would help me.

    


  • mp4 Vj Animation video lagging hi res video

    21 février 2020, par Ryan Stone

    I am trying to get a video to play inside a video tag at the top left hand corner of my page, it loads ok, the resolution is good and it seems to be looping but it is lagging very much, definatly not achieving 60fps it is in mp4 format and the resolution on the original mp4 is 1920x1080 it is a hi resolution vj free loop called GlassVein, you can see it if you search on youtube. On right clicking properties it comes up with the following inforamtion ;

    Bitrate:127kbs
    Data rate:11270kbps
    Total bitrate:11398kbs
    Audio sample rate is : 44khz
    filetype is:VLC media file(.mp4)
    (but i do not want or need the audio)

    & it also says 30fps, but I’m not sure i believe this as it runs smooth as butter on vlc media player no lagging, just smooth loop animation

    I have searched on :https://trac.ffmpeg.org/wiki/Encode/AAC for encoding information but it is complete gobbldygook to me, I don’t understand a word its saying

    My code is so far as follows ;

       <video src="GlassVeinColorful.mp4" autoplay="1" preload="auto" class="Vid" width="640" height="360" loop="1" viewport="" faststart="faststart" mpeg4="mpeg4" 320x240="320x240" 1080="1080" 128k="128k">  
       </video>

    Does anyone know why this is lagging so much, or what I could do about it.
    it is a quality animation and I don’t really want to loose an of its resolution or crispness.. the -s section was originally set to 1920x1080 as this is what the original file is but i have changed it to try and render it quicker...

    Any helpful sites, articles or answers would be great..

    2020 Update

    The Solution to this problem was to convert the Video to WebM, then use Javascript & a Html5 Canvas Element to render the Video to the page instead of using the video tag to embed the video.

    Html

    <section>
           <video src="Imgs/Vid/PurpGlassVein.webm" type="video/webm" width="684" height="auto" muted="muted" loop="loop" autoplay="autoplay">
                  <source>
                  <source>
                  <source>
           </source></source></source></video>
           <canvas style="filter:opacity(0);"></canvas>
    </section>

    Css

    video{
      display:none !important;
      visibility:hidden;
    }

    Javascript

       const Canv = document.querySelector("canvas");
       const Video = document.querySelector("video");
       const Ctx = Canv.getContext("2d");

       Video.addEventListener('play',()=>{
         function step() {
           Ctx.drawImage(Video, 0, 0, Canv.width, Canv.height)
           requestAnimationFrame(step)
         }
         requestAnimationFrame(step);
       })

       Canv.animate({
           filter: ['opacity(0) blur(5.28px)','opacity(1) blur(8.20px)']
       },{
           duration: 7288,
           fill: 'forwards',
           easing: 'ease-in',
           iterations: 1,
           delay: 728
       })

    I’ve Also Used the Vanilla Javascript .animate() API to fade the element into the page when the page loads. But one Caveat is that both the Canvas and the off-screen Video Tag must match the original videos resolution otherwise it starts to lag again, however you can use Css to scale it down via transform:scale(0.5) ; which doesn’t seem to effect performance at all.

    runs smooth as butter, and doesn’t loose any of the high resolution image.
    Added a slight blur 0.34px onto it aswell to smooth it even more.

    Possibly could of still used ffmpeg to get a better[Smaller File Size] WebM Output file but thats something I’ll have to look into at a later date.