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• Increasing Website Traffic : 11 Tips To Attract Visitors

  25 août 2023, par Erin — Analytics Tips, Marketing

  For your website and business to succeed, you need to focus on building traffic.

  However, you aren’t the only one with that goal in mind.

  There are millions of other websites trying to increase their traffic as well. With that much competition, it’s important to make sure your website stands out. Accomplishing that can require a great deal of strategy.

  We’ve compiled a list of tips to help you develop a solid plan for increasing website traffic, to expand your reach, grow your audience and boost customer engagement levels — creating more opportunities for your business.Using these tips, more visitors will find their way to your website — meaning more customers for your business.

  Why is website traffic important ?

  Website traffic is essentially the number of people visiting your website. When someone lands on your site, they’re considered a visitor and increase your website traffic. 

  When your website traffic is high, you’ll get more clicks, customer interactions and brand engagement. As a result, search engines will have a positive impression of your website and send more people there, meaning even more people will see your content and have the opportunity to buy your product.

  When using a website for your business or any other venture, tracking your website traffic using a web analytics solution like Matomo is critical.

  

  With over 200 million actively maintained and visited websites in 2023, it’s important to make sure yours stands out if you want to increase your website traffic and grow your online presence. 

  11 tips for increasing website traffic

  Here are 11 tips to increase your organic traffic and elevate your business.

  1. Perfect your SEO

  Optimising your website to show up in search engine results shouldn’t be overlooked, as 63% of consumers start researching a product by using a search engine. Search engine optimisation, or SEO, increases the visibility and discoverability of your website on search engine results pages (SERPs). SEO targets organic searches, which means it doesn’t add to social media traffic, direct traffic or referrals, and it isn’t paid traffic.

  SEO is number one on this list for a reason — most of these tips will directly, or indirectly, improve your SEO efforts. 

  Steps to improve your search engine optimisation can include :

  • Using relevant keywords that are incorporated naturally throughout your content
  • Using a web analytics tool like Matomo, with its search keyword feature, to gain insights and identify opportunities for improvement
  • Using descriptive meta titles and meta descriptions
  • Link to your own content internally with descriptive anchor tags, and make sure unused pages are removed 
  • Keeping your target audience in mind and marketing your content toward them
  • Making sure your website’s structure is optimised to be mobile-friendly, fast and responsive — such as with Matomo’s SEO Web Vitals feature, which monitors key metrics like your website’s page speed and loading performance, pivotal for optimising search engine results

  2. Research the competition

  It’s important to remember that while your business might be unique, it’s likely not the only one in its field. Thousands of other websites from other companies are also looking to improve their website traffic and increase sales, and you have to outcompete them.

  Looking at what your competitors are doing is vital from a strategic perspective. You can see what their content looks like, how they’re framing their specific use cases and what target audience they’re marketing toward.

  Knowing what your competitors are doing can help you find ways to improve your content and make it unique. Are your competitors missing a specific use case or neglecting a particular audience ? Fill in their content gaps on your website, and pick up the traffic they’re missing.

  3. Create high-quality, evergreen content

  If your content is high-quality, visitors will read more of it and stay longer on your site. This obviously increases the likelihood they will purchase your product or service, and it tells search engines that your website is a good answer for a search query.

  High-quality content will also be shared more often, leading to even more website traffic. You should aim to develop content that doesn’t lose relevance over time (aka “evergreen content”). If you include time-sensitive data, statistics or content in your website, blog posts or articles, it’ll be relevant only around that time frame. 

  While this month’s viral content is highly popular, it likely won’t be relevant in a few months. Instead, if you ensure your content is evergreen, it will continue to get engagement long after it’s published.

  4. Implement creative visuals

  It’s important to have engaging, fun and interactive media on your website to keep visitors on your site longer. Like good content, interesting visuals (and the resulting longer visits) can translate to more purchases (and favourable assessments by search engines).

  

  Media can take the form of videos, infographics, images or web graphics. 

  With Matomo’s Media Analytics feature, you can automatically gain even deeper insights into how your visitors engage with your media content, enhancing your understanding of their preferences and behaviours.

  If you have interesting, captivating visuals, visitors will be more likely to stay on your website longer and see what you have to offer. Without captivating visuals to break up walls of text, you’ll likely find visitors will tend to leave your site in favour of something more engaging.

  Just make sure you design your visuals with your target audience in mind. Flashy, fun graphics might not be a good fit for a professional audience, but they’re great for younger audiences. If you get your audience correct, they may also share the images with others. Depending on your business, that might be a useful infographic shared across LinkedIn, or a picture of a clever use case shared on Pinterest. 

  As a bonus, if other companies use your graphics on their websites, that earns you some backlinks — more on those in a bit.

  5. Create a comprehensive knowledge base

  Having a knowledge base is critical to making sure your service or product is well understood and well documented, especially in the tech industry. If a visitor or potential customer is interested in your product or service, they need to know exactly what it will do for them and that they have a good foundation of support in case they need help. A knowledge base is also a good place for internal links (more on those in a bit).

  Visitors can also use your knowledge base as a source of information, and if they cite you as a source, that’ll lead right back to more website traffic for you (see our backlinks section for more about this). If your website is a good source of information, visitors will come back to it again and again.

  6. Use social media often and consistently

  Digital marketing nowadays heavily relies on social media platforms. Having an online presence no longer means just having a website — if you’re not using social media sites, you’re missing out on a huge portion of potential visitors and customers.

  A strong social media presence with profiles on platforms like Facebook, X (formerly Twitter), Instagram or LinkedIn can be invaluable for increasing your website traffic. Visitors to your social media profiles will click on regularly shared content, read your blog posts and possibly become customers.

  Participating in relevant communities and networking with other companies in groups in your industry can also be invaluable. If you participate in online communities and forums for your niche, you can offer insight, answer questions and plug your website. All of this will increase your clicks, which will increase your website traffic.

  If you’ve managed to build your own community on social media, make sure to keep them engaged ! Implementing your own forum, hosting live chats and Q&As, offering helpful and engaging content will make sure visitors keep coming back and spreading the word. 

  7. Use email marketing or newsletters

  Having an email list and sending marketing emails or newsletters is a great way to increase website traffic. You can offer exclusive content, and promise discounts or resources to your subscribers for when they return to your website. This will help keep your loyal audience engaged, entice new customers to subscribe to your newsletter, give you a chance to upsell to people who have already expressed an interest in your product and potentially convert curious subscribers into customers.

  8. Make sure your content can earn backlinks

  A backlink is when a website links to a different website — ideally using relevant anchor text — and it’s an effective strategy for increasing referral traffic, that is, visitors who get to your website via a link on another website. The more backlinks you have, the more your referral traffic will increase. Social share buttons make it easy for people to cite you on social platforms, too. 

  We’ve already talked about making expert content that’s link-worthy, but also make sure that you’re creating linkable assets (like those interesting visuals mentioned earlier), building relationships with other sites that will link to you (like by inviting an expert or influencer to write on your page and promote it from their platform, or by writing your own guest content for their sites) and sharing your own content. All of this can help increase your referral traffic, particularly when you’re linked from websites with a higher domain authority than you have.

  You can also make sure your website is listed in online directories. Some sites will do interviews and roundups, as well — these are great opportunities to increase your backlinks.

  9. Optimise your CTR

  Click-through rate, or CTR, is the percentage of users who click on specific links to your website. A high CTR means your visitors are following a link — whether in an advertisement, a search result or a social media post — and a low CTR means they’re passing it by. Optimising your CTR can greatly improve your website traffic.

  To improve CTR, identify successful elements such as copy, imagery, and offers in your ads, enabling you to amplify effective elements and minimise less impactful ones.

  10. Ensure your website is responsive and mobile-friendly

  If a visitor is frustrated by your site being slow, laggy, clunky or not mobile-friendly, they won’t stay long. That doesn’t look good to search engines if that’s how your visitors got there. Your website needs to be clean, responsive, user-friendly and accessible.

  If your website is slow, try increasing your website’s performance by :

  • Optimising images : Reduce the size of images and compress them for faster load times. Opt for JPEG format for photos and PNG format for graphics. 
  • Limit the use of plugins : If you are using a CMS like WordPress, consider removing plugins that are unnecessary or not essential.
  • Embrace lazy loading : To further enhance site speed and reduce initial load times, set up your site to load images and content only as visitors scroll down. Prioritising the content and images at the top of the page makes the site feel faster. Some CMS platforms will offer this option, but others may require a bit of coding to set this up. 

  Many people rely on their phones to research services or products, especially if they’re doing a quick search. Make sure your website is friendly to mobile users. It should scale vertically and scroll smoothly so users aren’t frustrated when using your site. They should be able to find the info they need immediately without any technical issues.

  11. Track your website’s metrics

  As you test out each of these strategies to increase your web traffic, don’t forget to closely analyse the performance of your site. To truly understand the impact of your efforts, you’ll need a reliable web analytics solution. Think of a dependable web analytics solution as your website’s GPS. Without it, you’d be lost, unsure of your direction and missing out on valuable insights to steer your growth.

  Matomo is a powerful web analytics tool that can help you do just that by providing information on your site visitors and campaign performance, complemented by an array of behavioural analytics features that delve into user interactions. Among these, our heatmap feature stands out, enabling greater insights into user interactions and optimisation of your site’s effectiveness.

  

  Google Analytics is another powerful analytics option, though it has challenges with data accuracy ; there are multiple other web analytics solutions as well.

  Regardless of what web analytics solution you choose, the process of analysing your website metrics is incredibly important for identifying areas of improvement to increase website traffic.

  Increasing your web traffic is a process

  Increasing website traffic isn’t something you accomplish overnight. It’s a comprehensive, ongoing endeavour that requires constant analysis and fine-tuning. 

  By applying these tips to create consistent, high-quality content that gets spotlighted on search engines, shared on social media and returned to again and again, you’ll see a steady stream of increased traffic. 

  With Matomo, you can understand your visitor behaviour to see what works and what doesn’t as you work to increase your website traffic. Get your free 21-day trial now. No credit card required.

• Why is my .mp4 file created using cv2.VideoWriter not syncing up with the audio when i combine the video and audio using ffmpeg [closed]

  27 décembre 2024, par joeS125

  The aim of the script is to take text from a text file and put it onto a stock video with an ai reading the text. Similar to those reddit stories on social media with parkour minecraft in the background.

  


  import cv2
import time
from ffpyplayer.player import MediaPlayer
from Transcription import newTranscribeAudio
from pydub import AudioSegment

#get a gpt text generation to create a story based on a prompt, for example sci-fi story and spread it over 3-4 parts
#get stock footage, like minecraft parkour etc
#write text of script on the footage
#create video for each part
#have ai voiceover to read the transcript
cap = cv2.VideoCapture("Stock_Videos\Minecraft_Parkour.mp4")
transcription = newTranscribeAudio("final_us.wav")
player = MediaPlayer("final_us.mp3")
audio = AudioSegment.from_file("final_us.mp3")
story = open("Story.txt", "r").read()
story_split = story.split("||")
fps = cap.get(cv2.CAP_PROP_FPS)
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
video_duration = frame_count / fps  # Duration of one loop of the video
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
audio_duration = len(audio) / 1000  # Duration in seconds
video_writer = cv2.VideoWriter(f"CompletedVideo.mp4", fourcc, fps, (1080, 1920))

choice = 0#part of the story choice
part_split = story_split[choice].split(" ")
with open("Segment.txt", "w") as file:
    file.write(story_split[choice])
start_time = time.time()
length = len(part_split) - 1
next_text = []
for j in range(0, length):
    temp = part_split[j].replace("\n", "")
    next_text.append([temp])
index = 0
word_index = 0
frame_size_x = 1080
frame_size_y = 1920
audio_duration = len(audio) / 1000  # Duration in seconds
start_time = time.time()
wait_time = 1 / fps
while (time.time() - start_time) < audio_duration:
    cap.set(cv2.CAP_PROP_POS_FRAMES, 0)  # Restart video
    elapsed_time = time.time() - start_time
    print(video_writer)
    if index >= len(transcription):
        break
    while cap.isOpened():
        # Capture frames in the video 
        ret, frame = cap.read()
        if not ret:
            break
        audio_frame, val = player.get_frame()
        if val == 'eof':  # End of file
            print("Audio playback finished.")
            break
        if index >= len(transcription):
            break
        
        if frame_size_x == -1:
            frame_size_x = frame.shape[1]
            frame_size_y = frame.shape[0]

        elapsed_time = time.time() - start_time

        # describe the type of font 
        # to be used. 
        font = cv2.FONT_HERSHEY_SIMPLEX 
        trans = transcription[index]["words"]
        end_time = trans[word_index]["end"]
        if trans[word_index]["start"] < elapsed_time < trans[word_index]["end"]:
            video_text = trans[word_index]["text"]
        elif elapsed_time >= trans[word_index]["end"]:
            #index += 1
            word_index += 1
        if (word_index >= len(trans)):
            index += 1
            word_index = 0
        # get boundary of this text
        textsize = cv2.getTextSize(video_text, font, 3, 6)[0]
        # get coords based on boundary
        textX = int((frame.shape[1] - textsize[0]) / 2)
        textY = int((frame.shape[0] + textsize[1]) / 2)
        
        cv2.putText(frame,  
                    video_text,  
                    (textX, textY),  
                    font, 3,  
                    (0, 255, 255),  
                    6,  
                    cv2.LINE_4)
        
        # Define the resize scale
        scale_percent = 50  # Resize to 50% of the original size
        # Get new dimensions
        width = 1080
        height = 1920
        new_size = (width, height)

        # Resize the frame
        resized_frame = cv2.resize(frame, new_size)
        video_writer.write(resized_frame)
        cv2.imshow('video', resized_frame)
        cv2.waitKey(wait_time)
        if cv2.waitKey(1) & 0xFF == ord('q'): 
            break
cv2.destroyAllWindows()
video_writer.release()
cap.release()



  


  When I run this script the audio matches the text in the video perfectly and it runs for the correct amount of time to match with the audio (2 min 44 sec). However, the saved video CompletedVideo.mp4 only lasts for 1 min 10 sec. I am unsure why the video has sped up. The fps is 60 fps. If you require any more information please let me know and thanks in advance.

  


  I have tried changing the fps, changing the wait_time after writing each frame. I am expecting the CompletedVideo.mp4 to be 2 min 44 sec long not 1 min 10 sec long.

  


• What is Multi-Touch Attribution ? (And How To Get Started)

  2 février 2023, par Erin — Analytics Tips

  Good marketing thrives on data. Or more precisely — its interpretation. Using modern analytics software, we can determine which marketing actions steer prospects towards the desired action (a conversion event). 

  An attribution model in marketing is a set of rules that determine how various marketing tactics and channels impact the visitor’s progress towards a conversion. 

  Yet, as customer journeys become more complicated and involve multiple “touches”, standard marketing reports no longer tell the full picture. 

  That’s when multi-touch attribution analysis comes to the fore. 

  What is Multi-Touch Attribution ?

  Multi-touch attribution (also known as multi-channel attribution or cross-channel attribution) measures the impact of all touchpoints on the consumer journey on conversion. 

  Unlike single-touch reporting, multi-touch attribution models give credit to each marketing element — a social media ad, an on-site banner, an email link click, etc. By seeing impacts from every touchpoint and channel, marketers can avoid false assumptions or subpar budget allocations.

  To better understand the concept, let’s interpret the same customer journey using a standard single-touch report vs a multi-touch attribution model. 

  Picture this : Jammie is shopping around for a privacy-centred web analytics solution. She saw a recommendation on Twitter and ended up on the Matomo website. After browsing a few product pages and checking comparisons with other web analytics tools, she signs up for a webinar. One week after attending, Jammie is convinced that Matomo is the right tool for her business and goes directly to the Matomo website a starts a free trial. 

  • A standard single-touch report would attribute 100% of the conversion to direct traffic, which doesn’t give an accurate view of the multiple touchpoints that led Jammie to start a free trial. 
  • A multi-channel attribution report would showcase all the channels involved in the free trial conversion — social media, website content, the webinar, and then the direct traffic source.

  In other words : Multi-touch attribution helps you understand how prospects move through the sales funnel and which elements tinder them towards the desired outcome. 

  Types of Attribution Models

  As marketers, we know that multiple factors play into a conversion — channel type, timing, user’s stage on the buyer journey and so on. Various attribution models exist to reflect this variability. 

  

  First Interaction attribution model (otherwise known as first touch) gives all credit for the conversion to the first channel (for example — a referral link) and doesn’t report on all the other interactions a user had with your company (e.g., clicked a newsletter link, engaged with a landing page, or browsed the blog campaign).

  First-touch helps optimise the top of your funnel and establish which channels bring the best leads. However, it doesn’t offer any insight into other factors that persuaded a user to convert. 

  Last Interaction attribution model (also known as last touch) allocates 100% credit to the last channel before conversion — be it direct traffic, paid ad, or an internal product page.

  The data is useful for optimising the bottom-of-the-funnel (BoFU) elements. But you have no visibility into assisted conversions — interactions a user had prior to conversion. 

  Last Non-Direct attribution model model excludes direct traffic and assigns 100% credit for a conversion to the last channel a user interacted with before converting. For instance, a social media post will receive 100% of credit if a shopper buys a product three days later. 

  This model is more telling about the other channels, involved in the sales process. Yet, you’re seeing only one step backwards, which may not be sufficient for companies with longer sales cycles.

  Linear attribution model distributes an equal credit for a conversion between all tracked touchpoints.

  For instance, with a four touchpoint conversion (e.g., an organic visit, then a direct visit, then a social visit, then a visit and conversion from an ad campaign) each touchpoint would receive 25% credit for that single conversion.

  This is the simplest multi-channel attribution modelling technique many tools support. The nuance is that linear models don’t reflect the true impact of various events. After all, a paid ad that introduced your brand to the shopper and a time-sensitive discount code at the checkout page probably did more than the blog content a shopper browsed in between. 

  Position Based attribution model allocates a 40% credit to the first and the last touchpoints and then spreads the remaining 20% across the touchpoints between the first and last. 

  This attribution model comes in handy for optimising conversions across the top and the bottom of the funnel. But it doesn’t provide much insight into the middle, which can skew your decision-making. For instance, you may overlook cases when a shopper landed via a social media post, then was re-engaged via email, and proceeded to checkout after an organic visit. Without email marketing, that sale may not have happened.

  Time decay attribution model adjusts the credit, based on the timing of the interactions. Touchpoints that preceded the conversion get the highest score, while the first ones get less weight (e.g., 5%-5%-10%-15%-25%-30%).

  This multi-channel attribution model works great for tracking the bottom of the funnel, but it underestimates the impact of brand awareness campaigns or assisted conversions at mid-stage. 

  Why Use Multi-Touch Attribution Modelling

  Multi-touch attribution provides you with the full picture of your funnel. With accurate data across all touchpoints, you can employ targeted conversion rate optimisation (CRO) strategies to maximise the impact of each campaign. 

  Most marketers and analysts prefer using multi-touch attribution modelling — and for some good reasons.

  Issues multi-touch attribution solves 

  • Funnel visibility. Understand which tactics play an important role at the top, middle and bottom of your funnel, instead of second-guessing what’s working or not. 
  • Budget allocations. Spend money on channels and tactics that bring a positive return on investment (ROI). 
  • Assisted conversions. Learn how different elements and touchpoints cumulatively contribute to the ultimate goal — a conversion event — to optimise accordingly. 
  • Channel segmentation. Determine which assets drive the most qualified and engaged leads to replicate them at scale.
  • Campaign benchmarking. Compare how different marketing activities from affiliate marketing to social media perform against the same metrics.

  How To Get Started With Multi-Touch Attribution 

  To make multi-touch attribution part of your analytics setup, follow the next steps :

  1. Define Your Marketing Objectives 

  Multi-touch attribution helps you better understand what led people to convert on your site. But to capture that, you need to first map the standard purchase journeys, which include a series of touchpoints — instances, when a prospect forms an opinion about your business.

  Touchpoints include :

  • On-site interactions (e.g., reading a blog post, browsing product pages, using an on-site calculator, etc.)
  • Off-site interactions (e.g., reading a review, clicking a social media link, interacting with an ad, etc.)

  Combined these interactions make up your sales funnel — a designated path you’ve set up to lead people toward the desired action (aka a conversion). 

  Depending on your business model, you can count any of the following as a conversion :

  • Purchase 
  • Account registration 
  • Free trial request 
  • Contact form submission 
  • Online reservation 
  • Demo call request 
  • Newsletter subscription

  So your first task is to create a set of conversion objectives for your business and add them as Goals or Conversions in your web analytics solution. Then brainstorm how various touchpoints contribute to these objectives. 

  Web analytics tools with multi-channel attribution, like Matomo, allow you to obtain an extra dimension of data on touchpoints via Tracked Events. Using Event Tracking, you can analyse how many people started doing a desired action (e.g., typing details into the form) but never completed the task. This way you can quickly identify “leaking” touchpoints in your funnel and fix them. 

  2. Select an Attribution Model 

  Multi-attribution models have inherent tradeoffs. Linear attribution model doesn’t always represent the role and importance of each channel. Position-based attribution model emphasises the role of the last and first channel while diminishing the importance of assisted conversions. Time-decay model, on the contrary, downplays the role awareness-related campaigns played.

  To select the right attribution model for your business consider your objectives. Is it more important for you to understand your best top of funnel channels to optimise customer acquisition costs (CAC) ? Or would you rather maximise your on-site conversion rates ? 

  Your industry and the average cycle length should also guide your choice. Position-based models can work best for eCommerce and SaaS businesses where both CAC and on-site conversion rates play an important role. Manufacturing companies or educational services providers, on the contrary, will benefit more from a time-decay model as it better represents the lengthy sales cycles. 

  3. Collect and Organise Data From All Touchpoints 

  Multi-touch attribution models are based on available funnel data. So to get started, you will need to determine which data sources you have and how to best leverage them for attribution modelling. 

  Types of data you should collect : 

  • General web analytics data : Insights on visitors’ on-site actions — visited pages, clicked links, form submissions and more.
  • Goals (Conversions) : Reports on successful conversions across different types of assets. 
  • Behavioural user data : Some tools also offer advanced features such as heatmaps, session recording and A/B tests. These too provide ample data into user behaviours, which you can use to map and optimise various touchpoints.

  You can also implement extra tracking, for instance for contact form submissions, live chat contacts or email marketing campaigns to identify repeat users in your system. Just remember to stay on the good side of data protection laws and respect your visitors’ privacy. 

  Separately, you can obtain top-of-the-funnel data by analysing referral traffic sources (channel, campaign type, used keyword, etc). A Tag Manager comes in handy as it allows you to zoom in on particular assets (e.g., a newsletter, an affiliate, a social campaign, etc). 

  Combined, these data points can be parsed by an app, supporting multi-touch attribution (or a custom algorithm) and reported back to you as specific findings. 

  Sounds easy, right ? Well, the devil is in the details. Getting ample, accurate data for multi-touch attribution modelling isn’t easy. 

  Marketing analytics has an accuracy problem, mainly for two reasons :

  • Cookie consent banner rejection 
  • Data sampling application

  Please note that we are not able to provide legal advice, so it’s important that you consult with your own DPO to ensure compliance with all relevant laws and regulations.

  If you’re collecting web analytics in the EU, you know that showing a cookie consent banner is a GDPR must-do. But many consumers don’t often rush to accept cookie consent banners. The average consent rate for cookies in 2021 stood at 54% in Italy, 45% in France, and 44% in Germany. The consent rates are likely lower in 2023, as Google was forced to roll out a “reject all” button for cookie tracking in Europe, while privacy organisations lodge complaints against individual businesses for deceptive banners. 

  For marketers, cookie rejection means substantial gaps in analytics data. The good news is that you can fill in those gaps by using a privacy-centred web analytics tool like Matomo. 

  Matomo takes extra safeguards to protect user privacy and supports fully cookieless tracking. Because of that, Matomo is legally exempt from tracking consent in France. Plus, you can configure to use our analytics tool without consent banners in other markets outside of Germany and the UK. This way you get to retain the data you need for audience modelling without breaching any privacy regulations. 

  Data sampling application partially stems from the above. When a web analytics or multi-channel attribution tool cannot secure first-hand data, the “guessing game” begins. Google Analytics, as well as other tools, often rely on synthetic AI-generated data to fill in the reporting gaps. Respectively, your multi-attribution model doesn’t depict the real state of affairs. Instead, it shows AI-produced guesstimates of what transpired whenever not enough real-world evidence is available.

  4. Evaluate and Select an Attribution Tool 

  Google Analytics (GA) offers several multi-touch attribution models for free (linear, time-decay and position-based). The disadvantage of GA multi-touch attribution is its lower accuracy due to cookie rejection and data sampling application.

  At the same time, you cannot create custom credit allocations for the proposed models, unless you have the paid version of GA, Google Analytics 360. This version of GA comes with a custom Attribution Modeling Tool (AMT). The price tag, however, starts at USD $50,000 per year. 

  Matomo Cloud offers multi-channel conversion attribution as a feature and it is available as a plug-in on the marketplace for Matomo On-Premise. We support linear, position-based, first-interaction, last-interaction, last non-direct and time-decay modelling, based fully on first-hand data. You also get more precise insights because cookie consent isn’t an issue with us. 

  Most multi-channel attribution tools, like Google Analytics and Matomo, provide out-of-the-box multi-touch attribution models. But other tools, like Matomo On-Premise, also provide full access to raw data so you can develop your own multi-touch attribution models and do custom attribution analysis. The ability to create custom attribution analysis is particularly beneficial for data analysts or organisations with complex and unique buyer journeys. 

  Conclusion

  Ultimately, multi-channel attribution gives marketers greater visibility into the customer journey. By analysing multiple touchpoints, you can establish how various marketing efforts contribute to conversions. Then use this information to inform your promotional strategy, budget allocations and CRO efforts. 

  The key to benefiting the most from multi-touch attribution is accurate data. If your analytics solution isn’t telling you the full story, your multi-touch model won’t either. 

  Collect accurate visitor data for multi-touch attribution modelling with Matomo. Start your free 21-day trial now.