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Qu’est ce qu’un éditorial
21 juin 2013, parEcrivez votre de point de vue dans un article. Celui-ci sera rangé dans une rubrique prévue à cet effet.
Un éditorial est un article de type texte uniquement. Il a pour objectif de ranger les points de vue dans une rubrique dédiée. Un seul éditorial est placé à la une en page d’accueil. Pour consulter les précédents, consultez la rubrique dédiée.
Vous pouvez personnaliser le formulaire de création d’un éditorial.
Formulaire de création d’un éditorial Dans le cas d’un document de type éditorial, les (...) -
Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...) -
Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...)
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7 Best Marketing Attribution Software in 2024
22 février 2024, par ErinIt can be hard to accurately track the impact of your marketing efforts across marketing channels and campaigns. That’s where marketing attribution software comes in.
It goes beyond basic web analytics solutions that just look at the final click. Instead, it shows how different channels, content, and ads are performing at every step of the buyer’s journey, which gives a more accurate picture than just focusing on the last click.
In this guide, we’ll cover the basics of marketing attribution, list the top marketing attribution software and explain how the issue of privacy is transforming the web analytics industry.
What is marketing attribution ?
Marketing attribution is the process of assigning credit to each touchpoint in a buyer’s journey that leads to a desired action (such as a conversion or sale) in order to understand the effectiveness of various marketing channels and campaigns in influencing the customer’s decision-making process.
Marketers use software tools like website analytics to to track and analyse customer interactions across different touchpoints, allowing them to attribute conversions or sales to specific marketing efforts and optimise their strategies and budgets accordingly.
Why is marketing attribution so important ?
If you don’t track your campaigns correctly, it’s easy to spend thousands (or even millions) in an ineffective way. A 2022 survey by Australian marketing agency Next&Co revealed their clients wasted AU$5.46 billion in ineffective ad spend.
That’s 41% of all the ad spend tracked by Next&Co in 2022. A wasted marketing spend percentage this high isn’t exactly a recipe for a high marketing return on investment (ROI). And yet, it’s the average.
Why is that ?
Most companies don’t actively track the results of their marketing campaigns actively enough.
By improving your marketing attribution, you can determine which channels, ads, and campaigns work and which don’t. Then, you can move the budget from ineffective channels to effective ones.
Even if you can only identify half of your wastage, this could be 20% or more of your total spend. Just imagine what your bottom line would look like if your marketing budget were 20% more effective.
That’s the power that marketing attribution, when done right, brings to the table. It’s the road to a higher marketing ROI.
Common marketing attribution models and how they’re different
The default model for attributing completed goals in most analytics tools is either the last interaction or the last non-direct interaction.
However, some multi-touch models can help you get a more holistic view of the impact of your marketing efforts.
- Last interaction model : attributes the conversion to the final interaction or referring source (campaign or ad).
- Last non-direct interaction model : attributes the conversion to the final touchpoint that was not a direct visit to your website. (For example, if a search ad took them to a product page, the user bookmarked it and returned directly the next day to finish the purchase. The credit would go to the search ad as it’s the last non-direct touchpoint.)
- First interaction model : attributes the conversion to the first referring event alone.
- Linear model : gives equal value to every touchpoint throughout the customer journey.
- Time decay model : gives more value to touchpoints the closer they were to the actual sale.
- Position-based model : gives more value to the first and last touchpoints — often 40% each, while splitting 20% among the rest.
You can read our guide dedicated to marketing attribution models for more details on these models.
Types of marketing attribution software and the impact of privacy regulations
Until recently, digital advertising was the “scientific” advertisers’ utopia. Everything could be measured, with cookies from giants like Google and Facebook stalking every user across the web.
But with the advent of regulations like GDPR and the CCPA, you can no longer blindly trust Google Analytics or the Meta Pixel without consequences.
Multi-channel attribution tools with third-party cookies and GDPR
Google, Meta, and other companies used to track and combine user data from their own platforms and websites across the web that installed their tags. These third-party cookies have long been under fire and have caused several GDPR fines.
The alternative : analytics platforms with first-party cookies
In a post-GDPR digital marketing landscape, a compliant-by-default web analytics platform like Matomo is a more reliable and accurate alternative.
Plus, with a platform like Matomo, you don’t need to rely on data from digital advertising platforms like Facebook Ads and Google Ads. You can accurately track referral sources using our campaign tracking parameters.
7 best marketing attribution software in 2024
Below is the list of our favourite marketing attribution tools in 2024. If you find and use one that suits your needs correctly, you can quickly boost your marketing performance.
1. Matomo — Accurate and easiest to set up for marketing attribution
Matomo is a privacy-friendly web analytics suite that empowers you to accurately attribute marketing efforts and gain valuable insights while prioritising user privacy and compliance.
Matomo integrates with e-commerce platforms like WooCommerce and Magenta. That makes it easy for B2C marketing teams to track the revenue impact of their campaigns.
You can also compare a variety of attribution models against each other. B2B teams can use our API to integrate Matomo with their CRM.
Pros :
- Relies on first-party cookies for tracking, ensuring accurate data collection and attribution of user actions
- Includes additional features like Heatmaps, Session Recordings, Form Analytics, A/B Testing, and more
- Easy to set up and use
- Features most common multi-touch attribution models
Cons :
- Limited to owned channels (website and e-commerce store) due to first-party cookies and data (but you can integrate other data sources through a CRM)
Pricing
The self-hosted version is free. The cloud hosted version starts at $19 per month and includes a 21-day free trial. No credit card requierd.
Try Matomo for Free
Get the web insights you need, without compromising data accuracy.
2. WhatConverts — Great option for leads-based businesses with high ad spend
WhatConverts is a marketing attribution tool with a focus on lead tracking. With most web analytics setups, it adds call and text tracking to the typical form-only tracking.
Pros :
- Reliable call and text tracking
- Revenue attribution to specific leads (and, by extension, campaigns and ads)
Cons :
- Focused exclusively on leads — little utility for e-commerce companies
Pricing
The cheapest plan starts at $30/month but does not include analytics integrations or form tracking. To access this and advanced flow tracking and attribution features, you need the Elite plan, which starts at $160/month.
3. HubSpot Marketing Hub — Ideal CRM for larger B2B companies
HubSpot is a marketing CRM with attribution features for tracking and analysis.
The platform is very broad — encompassing CRM, email automation and other tools — which makes it challenging to use effectively. The price tag is also quite steep for smaller companies and marketing teams.
Pros :
- Concretely tracks revenue to multiple different touchpoints and marketing channels
- Includes several different multi-touch attribution models
- Allows offline conversion tracking
Cons :
- The price point is too high for smaller teams
- Cam be difficult to set up effectively
Pricing
Since marketing attribution is only included in HubSpot Marketing Hub’s Professional and Enterprise plans, pricing starts at $800/month (paid annually). If you commit for a year but pay monthly, the price is $890/month for the professional plan. This goes up with additional add-ons and as your contacts increase as well.
4. ActiveCampaign — Good CRM option for small B2B companies
ActiveCampaign is a CRM and marketing automation platform that can help you trace leads and revenue back to their source.
Although it has a similar scope of features to HubSpot, it is more affordable and slightly easier to use for beginners.
Pros :
- Tracks sales revenue back to specific marketing touchpoints
- Powerful marketing automation features
Cons :
- B2B companies may need to purchase two plans, one ActiveCampaign marketing and one CRM.
Pricing
Unlike HubSpot, ActiveCampaign offers a much more affordable plan, starting at $29/month billed annually (for up to 1,000 contacts). The marketing and sales CRM bundle starts at $93/month with up to five users.
5. Salesforce Data Cloud for Marketing — Ideal CRM for enterprises
Salesforce is a robust and feature-rich CRM that many enterprises rely on for their sales teams.
That makes Salesforce’s marketing attribution platform a logical choice for existing Salesforce users.
Pros :
- Uses prospect and sales data from CRM to attribute revenue
- Revenue prediction analytics
- Lead scoring to help your sales team focus on high-value leads
Cons :
- Difficult to set up and use
- Clunky and aged user interface
- Relatively high price point
Pricing
The limited Marketing Cloud Account Engagement Growth plan starts at $1,250/month, billed annually. To access advanced cross-channel journeys, you need the Pro plan, which starts at $2,750 monthly.
6. Terminus — Great for account-based marketing
If your marketing team uses an account-based marketing (ABM) approach, Terminus might be the right option for you.
It offers ABM tools like target account event tracking and revenue attribution tools for your marketing campaigns.
Pros :
- Advanced multi-channel revenue attribution tools with a wide range of reports
- Track intent touchpoints back to target accounts
- Reliable revenue predictions help you focus your marketing activities
Cons :
- Complex and difficult to set up, understand and use effectively
- Lacks native integrations with many common advertising platforms and analytics tools
Pricing
Terminus offers no standard pricing plans. You must contact their sales team for a custom quote based on your needs.
7. Adobe Analytics — An analytics for enterprises
Adobe Analytics is part of the Adobe Experience Cloud, with plenty of big data analysis tools for enterprises. Although the platform is quite powerful, it is equally complex and difficult to use. The price point is also prohibitive for many smaller companies.
Pros :
- Very extensive reporting tools
- Predictive analytics give you solid leading indicator for future campaign performance
- Track multiple digital touchpoints across the entire customer journey
Cons :
- Like Google Analytics, Adobe Analytics aggregates your visitor data by default, making compliant “consent-free tracking” — tracking user actions without asking for consent — impossible according to GDPR. (See more differences in Matomo’s comparison against Adobe Analytics and Google Analytics.)
- Prohibitively expensive for most smaller companies
- Very steep learning curve for setting up and using it correctly
Pricing
Adobe Analytics uses usage-based pricing — which means they adjust the pricing based on the traffic volume to your website. Still, their lower price points aren’t exactly SMB-friendly — multiple sources put Adobe’s lowest starting price point at $2,000–2,500 per month.
Get accurate marketing attribution with Matomo (without privacy concerns)
Matomo allows you to do marketing attribution effectively and accurately without compromising your users’ privacy. By default, we only use first-party cookies and offer consent-free tracking – meaning no more annoying cookie consent banners (excluding in Germany and the UK).
If you want to boost your marketing performance without disregarding your users’ privacy, get started with our 21-day free trial. No credit card required. It’s time to make more informed decisions about your marketing campaigns.
Try Matomo for Free
21 day free trial. No credit card required.
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avcodec/x86/vvc : add avg and avg_w AVX2 optimizations
23 janvier 2024, par Wu Jianhuaavcodec/x86/vvc : add avg and avg_w AVX2 optimizations
The avg/avg_w is based on dav1d.
See https://code.videolan.org/videolan/dav1d/-/blob/master/src/x86/mc_avx2.asmvvc_avg_8_2x2_c : 71.6
vvc_avg_8_2x2_avx2 : 26.8
vvc_avg_8_2x4_c : 140.8
vvc_avg_8_2x4_avx2 : 34.6
vvc_avg_8_2x8_c : 410.3
vvc_avg_8_2x8_avx2 : 41.3
vvc_avg_8_2x16_c : 769.3
vvc_avg_8_2x16_avx2 : 60.3
vvc_avg_8_2x32_c : 1669.6
vvc_avg_8_2x32_avx2 : 105.1
vvc_avg_8_2x64_c : 1978.3
vvc_avg_8_2x64_avx2 : 425.8
vvc_avg_8_2x128_c : 6536.8
vvc_avg_8_2x128_avx2 : 1315.1
vvc_avg_8_4x2_c : 155.6
vvc_avg_8_4x2_avx2 : 26.1
vvc_avg_8_4x4_c : 250.3
vvc_avg_8_4x4_avx2 : 31.3
vvc_avg_8_4x8_c : 831.8
vvc_avg_8_4x8_avx2 : 41.3
vvc_avg_8_4x16_c : 1461.1
vvc_avg_8_4x16_avx2 : 57.1
vvc_avg_8_4x32_c : 2821.6
vvc_avg_8_4x32_avx2 : 105.1
vvc_avg_8_4x64_c : 3615.8
vvc_avg_8_4x64_avx2 : 412.6
vvc_avg_8_4x128_c : 11962.6
vvc_avg_8_4x128_avx2 : 1274.3
vvc_avg_8_8x2_c : 215.8
vvc_avg_8_8x2_avx2 : 29.1
vvc_avg_8_8x4_c : 430.6
vvc_avg_8_8x4_avx2 : 37.6
vvc_avg_8_8x8_c : 1463.3
vvc_avg_8_8x8_avx2 : 51.8
vvc_avg_8_8x16_c : 2630.1
vvc_avg_8_8x16_avx2 : 97.6
vvc_avg_8_8x32_c : 5813.8
vvc_avg_8_8x32_avx2 : 196.6
vvc_avg_8_8x64_c : 6687.3
vvc_avg_8_8x64_avx2 : 487.8
vvc_avg_8_8x128_c : 13178.6
vvc_avg_8_8x128_avx2 : 1290.6
vvc_avg_8_16x2_c : 443.8
vvc_avg_8_16x2_avx2 : 28.3
vvc_avg_8_16x4_c : 1253.3
vvc_avg_8_16x4_avx2 : 32.1
vvc_avg_8_16x8_c : 2236.3
vvc_avg_8_16x8_avx2 : 44.3
vvc_avg_8_16x16_c : 5127.8
vvc_avg_8_16x16_avx2 : 63.3
vvc_avg_8_16x32_c : 6573.3
vvc_avg_8_16x32_avx2 : 223.6
vvc_avg_8_16x64_c : 30311.8
vvc_avg_8_16x64_avx2 : 437.8
vvc_avg_8_16x128_c : 25693.3
vvc_avg_8_16x128_avx2 : 1266.8
vvc_avg_8_32x2_c : 954.6
vvc_avg_8_32x2_avx2 : 32.1
vvc_avg_8_32x4_c : 2359.6
vvc_avg_8_32x4_avx2 : 39.6
vvc_avg_8_32x8_c : 5703.6
vvc_avg_8_32x8_avx2 : 57.1
vvc_avg_8_32x16_c : 9967.6
vvc_avg_8_32x16_avx2 : 107.1
vvc_avg_8_32x32_c : 21327.6
vvc_avg_8_32x32_avx2 : 272.6
vvc_avg_8_32x64_c : 39240.8
vvc_avg_8_32x64_avx2 : 529.6
vvc_avg_8_32x128_c : 52580.8
vvc_avg_8_32x128_avx2 : 1338.8
vvc_avg_8_64x2_c : 1647.3
vvc_avg_8_64x2_avx2 : 38.8
vvc_avg_8_64x4_c : 5130.1
vvc_avg_8_64x4_avx2 : 58.8
vvc_avg_8_64x8_c : 6529.3
vvc_avg_8_64x8_avx2 : 88.3
vvc_avg_8_64x16_c : 19913.6
vvc_avg_8_64x16_avx2 : 162.3
vvc_avg_8_64x32_c : 39360.8
vvc_avg_8_64x32_avx2 : 295.8
vvc_avg_8_64x64_c : 49658.3
vvc_avg_8_64x64_avx2 : 784.1
vvc_avg_8_64x128_c : 108513.1
vvc_avg_8_64x128_avx2 : 1977.1
vvc_avg_8_128x2_c : 3226.1
vvc_avg_8_128x2_avx2 : 61.1
vvc_avg_8_128x4_c : 10280.3
vvc_avg_8_128x4_avx2 : 94.6
vvc_avg_8_128x8_c : 18079.3
vvc_avg_8_128x8_avx2 : 155.3
vvc_avg_8_128x16_c : 45121.8
vvc_avg_8_128x16_avx2 : 285.3
vvc_avg_8_128x32_c : 48651.8
vvc_avg_8_128x32_avx2 : 581.6
vvc_avg_8_128x64_c : 165078.6
vvc_avg_8_128x64_avx2 : 1942.8
vvc_avg_8_128x128_c : 339103.1
vvc_avg_8_128x128_avx2 : 4332.6
vvc_avg_10_2x2_c : 144.3
vvc_avg_10_2x2_avx2 : 26.8
vvc_avg_10_2x4_c : 142.6
vvc_avg_10_2x4_avx2 : 45.3
vvc_avg_10_2x8_c : 478.1
vvc_avg_10_2x8_avx2 : 38.1
vvc_avg_10_2x16_c : 518.3
vvc_avg_10_2x16_avx2 : 58.1
vvc_avg_10_2x32_c : 2059.8
vvc_avg_10_2x32_avx2 : 93.1
vvc_avg_10_2x64_c : 2383.8
vvc_avg_10_2x64_avx2 : 714.8
vvc_avg_10_2x128_c : 4498.3
vvc_avg_10_2x128_avx2 : 1466.3
vvc_avg_10_4x2_c : 228.6
vvc_avg_10_4x2_avx2 : 26.8
vvc_avg_10_4x4_c : 378.3
vvc_avg_10_4x4_avx2 : 30.6
vvc_avg_10_4x8_c : 866.8
vvc_avg_10_4x8_avx2 : 44.6
vvc_avg_10_4x16_c : 1018.1
vvc_avg_10_4x16_avx2 : 58.1
vvc_avg_10_4x32_c : 3590.8
vvc_avg_10_4x32_avx2 : 128.8
vvc_avg_10_4x64_c : 4200.8
vvc_avg_10_4x64_avx2 : 663.6
vvc_avg_10_4x128_c : 8450.8
vvc_avg_10_4x128_avx2 : 1531.8
vvc_avg_10_8x2_c : 369.3
vvc_avg_10_8x2_avx2 : 28.3
vvc_avg_10_8x4_c : 513.8
vvc_avg_10_8x4_avx2 : 32.1
vvc_avg_10_8x8_c : 1720.3
vvc_avg_10_8x8_avx2 : 49.1
vvc_avg_10_8x16_c : 1894.8
vvc_avg_10_8x16_avx2 : 71.6
vvc_avg_10_8x32_c : 3931.3
vvc_avg_10_8x32_avx2 : 148.1
vvc_avg_10_8x64_c : 7964.3
vvc_avg_10_8x64_avx2 : 613.1
vvc_avg_10_8x128_c : 15540.1
vvc_avg_10_8x128_avx2 : 1585.1
vvc_avg_10_16x2_c : 877.3
vvc_avg_10_16x2_avx2 : 27.6
vvc_avg_10_16x4_c : 955.8
vvc_avg_10_16x4_avx2 : 29.8
vvc_avg_10_16x8_c : 3419.6
vvc_avg_10_16x8_avx2 : 62.6
vvc_avg_10_16x16_c : 3826.8
vvc_avg_10_16x16_avx2 : 54.3
vvc_avg_10_16x32_c : 7655.3
vvc_avg_10_16x32_avx2 : 86.3
vvc_avg_10_16x64_c : 30011.1
vvc_avg_10_16x64_avx2 : 692.6
vvc_avg_10_16x128_c : 47894.8
vvc_avg_10_16x128_avx2 : 1580.3
vvc_avg_10_32x2_c : 944.3
vvc_avg_10_32x2_avx2 : 29.8
vvc_avg_10_32x4_c : 2022.6
vvc_avg_10_32x4_avx2 : 35.1
vvc_avg_10_32x8_c : 6148.8
vvc_avg_10_32x8_avx2 : 51.3
vvc_avg_10_32x16_c : 12601.6
vvc_avg_10_32x16_avx2 : 70.8
vvc_avg_10_32x32_c : 15958.6
vvc_avg_10_32x32_avx2 : 124.3
vvc_avg_10_32x64_c : 31784.6
vvc_avg_10_32x64_avx2 : 757.3
vvc_avg_10_32x128_c : 63892.8
vvc_avg_10_32x128_avx2 : 1711.3
vvc_avg_10_64x2_c : 1890.8
vvc_avg_10_64x2_avx2 : 34.3
vvc_avg_10_64x4_c : 6267.3
vvc_avg_10_64x4_avx2 : 42.6
vvc_avg_10_64x8_c : 12778.1
vvc_avg_10_64x8_avx2 : 67.8
vvc_avg_10_64x16_c : 22304.3
vvc_avg_10_64x16_avx2 : 116.8
vvc_avg_10_64x32_c : 30777.1
vvc_avg_10_64x32_avx2 : 201.1
vvc_avg_10_64x64_c : 60169.1
vvc_avg_10_64x64_avx2 : 1454.3
vvc_avg_10_64x128_c : 124392.8
vvc_avg_10_64x128_avx2 : 3648.6
vvc_avg_10_128x2_c : 3650.1
vvc_avg_10_128x2_avx2 : 41.1
vvc_avg_10_128x4_c : 22887.8
vvc_avg_10_128x4_avx2 : 64.1
vvc_avg_10_128x8_c : 14622.6
vvc_avg_10_128x8_avx2 : 111.6
vvc_avg_10_128x16_c : 62207.6
vvc_avg_10_128x16_avx2 : 186.3
vvc_avg_10_128x32_c : 59761.3
vvc_avg_10_128x32_avx2 : 374.6
vvc_avg_10_128x64_c : 117504.3
vvc_avg_10_128x64_avx2 : 2684.6
vvc_avg_10_128x128_c : 236767.6
vvc_avg_10_128x128_avx2 : 15278.1
vvc_avg_12_2x2_c : 78.6
vvc_avg_12_2x2_avx2 : 26.1
vvc_avg_12_2x4_c : 254.1
vvc_avg_12_2x4_avx2 : 30.6
vvc_avg_12_2x8_c : 261.8
vvc_avg_12_2x8_avx2 : 39.1
vvc_avg_12_2x16_c : 527.6
vvc_avg_12_2x16_avx2 : 57.3
vvc_avg_12_2x32_c : 1089.1
vvc_avg_12_2x32_avx2 : 93.8
vvc_avg_12_2x64_c : 2337.6
vvc_avg_12_2x64_avx2 : 707.1
vvc_avg_12_2x128_c : 4582.1
vvc_avg_12_2x128_avx2 : 1414.6
vvc_avg_12_4x2_c : 129.6
vvc_avg_12_4x2_avx2 : 26.8
vvc_avg_12_4x4_c : 427.3
vvc_avg_12_4x4_avx2 : 30.6
vvc_avg_12_4x8_c : 529.6
vvc_avg_12_4x8_avx2 : 36.6
vvc_avg_12_4x16_c : 1022.1
vvc_avg_12_4x16_avx2 : 57.3
vvc_avg_12_4x32_c : 1987.6
vvc_avg_12_4x32_avx2 : 84.3
vvc_avg_12_4x64_c : 4147.6
vvc_avg_12_4x64_avx2 : 706.3
vvc_avg_12_4x128_c : 8469.3
vvc_avg_12_4x128_avx2 : 1448.3
vvc_avg_12_8x2_c : 253.6
vvc_avg_12_8x2_avx2 : 27.6
vvc_avg_12_8x4_c : 836.3
vvc_avg_12_8x4_avx2 : 32.1
vvc_avg_12_8x8_c : 1074.6
vvc_avg_12_8x8_avx2 : 45.1
vvc_avg_12_8x16_c : 3616.8
vvc_avg_12_8x16_avx2 : 71.6
vvc_avg_12_8x32_c : 3823.6
vvc_avg_12_8x32_avx2 : 140.1
vvc_avg_12_8x64_c : 7764.8
vvc_avg_12_8x64_avx2 : 656.1
vvc_avg_12_8x128_c : 15896.1
vvc_avg_12_8x128_avx2 : 1232.8
vvc_avg_12_16x2_c : 462.1
vvc_avg_12_16x2_avx2 : 26.8
vvc_avg_12_16x4_c : 1732.1
vvc_avg_12_16x4_avx2 : 29.1
vvc_avg_12_16x8_c : 2097.6
vvc_avg_12_16x8_avx2 : 62.6
vvc_avg_12_16x16_c : 6753.1
vvc_avg_12_16x16_avx2 : 47.8
vvc_avg_12_16x32_c : 7373.1
vvc_avg_12_16x32_avx2 : 80.8
vvc_avg_12_16x64_c : 15046.3
vvc_avg_12_16x64_avx2 : 621.1
vvc_avg_12_16x128_c : 52574.6
vvc_avg_12_16x128_avx2 : 1417.1
vvc_avg_12_32x2_c : 1712.1
vvc_avg_12_32x2_avx2 : 29.8
vvc_avg_12_32x4_c : 2036.8
vvc_avg_12_32x4_avx2 : 37.6
vvc_avg_12_32x8_c : 4017.6
vvc_avg_12_32x8_avx2 : 44.1
vvc_avg_12_32x16_c : 8018.6
vvc_avg_12_32x16_avx2 : 70.8
vvc_avg_12_32x32_c : 15637.6
vvc_avg_12_32x32_avx2 : 124.3
vvc_avg_12_32x64_c : 31143.3
vvc_avg_12_32x64_avx2 : 830.3
vvc_avg_12_32x128_c : 75706.8
vvc_avg_12_32x128_avx2 : 1604.8
vvc_avg_12_64x2_c : 3230.3
vvc_avg_12_64x2_avx2 : 33.6
vvc_avg_12_64x4_c : 4139.6
vvc_avg_12_64x4_avx2 : 45.1
vvc_avg_12_64x8_c : 8201.6
vvc_avg_12_64x8_avx2 : 67.1
vvc_avg_12_64x16_c : 25632.3
vvc_avg_12_64x16_avx2 : 110.3
vvc_avg_12_64x32_c : 30744.3
vvc_avg_12_64x32_avx2 : 200.3
vvc_avg_12_64x64_c : 105554.8
vvc_avg_12_64x64_avx2 : 1325.6
vvc_avg_12_64x128_c : 235254.3
vvc_avg_12_64x128_avx2 : 3132.6
vvc_avg_12_128x2_c : 6194.3
vvc_avg_12_128x2_avx2 : 55.1
vvc_avg_12_128x4_c : 7583.8
vvc_avg_12_128x4_avx2 : 79.3
vvc_avg_12_128x8_c : 14635.6
vvc_avg_12_128x8_avx2 : 104.3
vvc_avg_12_128x16_c : 29270.8
vvc_avg_12_128x16_avx2 : 194.3
vvc_avg_12_128x32_c : 60113.6
vvc_avg_12_128x32_avx2 : 346.3
vvc_avg_12_128x64_c : 197030.3
vvc_avg_12_128x64_avx2 : 2779.6
vvc_avg_12_128x128_c : 432809.6
vvc_avg_12_128x128_avx2 : 5513.3
vvc_w_avg_8_2x2_c : 84.3
vvc_w_avg_8_2x2_avx2 : 42.6
vvc_w_avg_8_2x4_c : 156.3
vvc_w_avg_8_2x4_avx2 : 58.8
vvc_w_avg_8_2x8_c : 310.6
vvc_w_avg_8_2x8_avx2 : 73.1
vvc_w_avg_8_2x16_c : 942.1
vvc_w_avg_8_2x16_avx2 : 113.3
vvc_w_avg_8_2x32_c : 1098.8
vvc_w_avg_8_2x32_avx2 : 202.6
vvc_w_avg_8_2x64_c : 2414.3
vvc_w_avg_8_2x64_avx2 : 467.6
vvc_w_avg_8_2x128_c : 4763.8
vvc_w_avg_8_2x128_avx2 : 1333.1
vvc_w_avg_8_4x2_c : 140.1
vvc_w_avg_8_4x2_avx2 : 49.8
vvc_w_avg_8_4x4_c : 276.3
vvc_w_avg_8_4x4_avx2 : 58.1
vvc_w_avg_8_4x8_c : 524.3
vvc_w_avg_8_4x8_avx2 : 72.3
vvc_w_avg_8_4x16_c : 1108.1
vvc_w_avg_8_4x16_avx2 : 111.8
vvc_w_avg_8_4x32_c : 2149.8
vvc_w_avg_8_4x32_avx2 : 199.6
vvc_w_avg_8_4x64_c : 12288.1
vvc_w_avg_8_4x64_avx2 : 509.3
vvc_w_avg_8_4x128_c : 8398.6
vvc_w_avg_8_4x128_avx2 : 1319.6
vvc_w_avg_8_8x2_c : 271.1
vvc_w_avg_8_8x2_avx2 : 44.1
vvc_w_avg_8_8x4_c : 503.3
vvc_w_avg_8_8x4_avx2 : 61.8
vvc_w_avg_8_8x8_c : 1031.1
vvc_w_avg_8_8x8_avx2 : 93.8
vvc_w_avg_8_8x16_c : 2009.8
vvc_w_avg_8_8x16_avx2 : 163.1
vvc_w_avg_8_8x32_c : 4161.3
vvc_w_avg_8_8x32_avx2 : 292.1
vvc_w_avg_8_8x64_c : 7940.6
vvc_w_avg_8_8x64_avx2 : 592.1
vvc_w_avg_8_8x128_c : 16802.3
vvc_w_avg_8_8x128_avx2 : 1287.6
vvc_w_avg_8_16x2_c : 762.6
vvc_w_avg_8_16x2_avx2 : 53.6
vvc_w_avg_8_16x4_c : 1486.3
vvc_w_avg_8_16x4_avx2 : 67.1
vvc_w_avg_8_16x8_c : 1907.8
vvc_w_avg_8_16x8_avx2 : 96.8
vvc_w_avg_8_16x16_c : 3883.6
vvc_w_avg_8_16x16_avx2 : 151.3
vvc_w_avg_8_16x32_c : 7974.8
vvc_w_avg_8_16x32_avx2 : 285.8
vvc_w_avg_8_16x64_c : 25160.6
vvc_w_avg_8_16x64_avx2 : 589.8
vvc_w_avg_8_16x128_c : 58328.1
vvc_w_avg_8_16x128_avx2 : 1169.8
vvc_w_avg_8_32x2_c : 1009.1
vvc_w_avg_8_32x2_avx2 : 65.6
vvc_w_avg_8_32x4_c : 2091.1
vvc_w_avg_8_32x4_avx2 : 96.8
vvc_w_avg_8_32x8_c : 3997.8
vvc_w_avg_8_32x8_avx2 : 156.3
vvc_w_avg_8_32x16_c : 8216.8
vvc_w_avg_8_32x16_avx2 : 269.6
vvc_w_avg_8_32x32_c : 21746.1
vvc_w_avg_8_32x32_avx2 : 635.3
vvc_w_avg_8_32x64_c : 31564.8
vvc_w_avg_8_32x64_avx2 : 1010.6
vvc_w_avg_8_32x128_c : 114373.3
vvc_w_avg_8_32x128_avx2 : 2013.6
vvc_w_avg_8_64x2_c : 2067.3
vvc_w_avg_8_64x2_avx2 : 97.6
vvc_w_avg_8_64x4_c : 3901.1
vvc_w_avg_8_64x4_avx2 : 154.8
vvc_w_avg_8_64x8_c : 7911.6
vvc_w_avg_8_64x8_avx2 : 268.8
vvc_w_avg_8_64x16_c : 16508.8
vvc_w_avg_8_64x16_avx2 : 501.8
vvc_w_avg_8_64x32_c : 38770.3
vvc_w_avg_8_64x32_avx2 : 1287.6
vvc_w_avg_8_64x64_c : 110350.6
vvc_w_avg_8_64x64_avx2 : 1890.8
vvc_w_avg_8_64x128_c : 141354.6
vvc_w_avg_8_64x128_avx2 : 3839.6
vvc_w_avg_8_128x2_c : 7012.1
vvc_w_avg_8_128x2_avx2 : 159.3
vvc_w_avg_8_128x4_c : 8146.8
vvc_w_avg_8_128x4_avx2 : 272.6
vvc_w_avg_8_128x8_c : 24596.8
vvc_w_avg_8_128x8_avx2 : 501.1
vvc_w_avg_8_128x16_c : 35918.1
vvc_w_avg_8_128x16_avx2 : 948.8
vvc_w_avg_8_128x32_c : 68799.6
vvc_w_avg_8_128x32_avx2 : 1963.1
vvc_w_avg_8_128x64_c : 133862.1
vvc_w_avg_8_128x64_avx2 : 3833.6
vvc_w_avg_8_128x128_c : 348427.8
vvc_w_avg_8_128x128_avx2 : 7682.8
vvc_w_avg_10_2x2_c : 118.6
vvc_w_avg_10_2x2_avx2 : 73.1
vvc_w_avg_10_2x4_c : 189.1
vvc_w_avg_10_2x4_avx2 : 89.3
vvc_w_avg_10_2x8_c : 382.8
vvc_w_avg_10_2x8_avx2 : 179.8
vvc_w_avg_10_2x16_c : 658.3
vvc_w_avg_10_2x16_avx2 : 185.1
vvc_w_avg_10_2x32_c : 1409.3
vvc_w_avg_10_2x32_avx2 : 290.8
vvc_w_avg_10_2x64_c : 2906.8
vvc_w_avg_10_2x64_avx2 : 793.1
vvc_w_avg_10_2x128_c : 6292.6
vvc_w_avg_10_2x128_avx2 : 1696.8
vvc_w_avg_10_4x2_c : 178.8
vvc_w_avg_10_4x2_avx2 : 80.1
vvc_w_avg_10_4x4_c : 581.6
vvc_w_avg_10_4x4_avx2 : 97.6
vvc_w_avg_10_4x8_c : 693.3
vvc_w_avg_10_4x8_avx2 : 128.1
vvc_w_avg_10_4x16_c : 1436.6
vvc_w_avg_10_4x16_avx2 : 179.8
vvc_w_avg_10_4x32_c : 2409.1
vvc_w_avg_10_4x32_avx2 : 292.3
vvc_w_avg_10_4x64_c : 4925.3
vvc_w_avg_10_4x64_avx2 : 746.1
vvc_w_avg_10_4x128_c : 10664.6
vvc_w_avg_10_4x128_avx2 : 1647.6
vvc_w_avg_10_8x2_c : 359.3
vvc_w_avg_10_8x2_avx2 : 80.1
vvc_w_avg_10_8x4_c : 925.6
vvc_w_avg_10_8x4_avx2 : 97.6
vvc_w_avg_10_8x8_c : 1360.6
vvc_w_avg_10_8x8_avx2 : 121.8
vvc_w_avg_10_8x16_c : 3490.3
vvc_w_avg_10_8x16_avx2 : 203.3
vvc_w_avg_10_8x32_c : 5266.1
vvc_w_avg_10_8x32_avx2 : 325.8
vvc_w_avg_10_8x64_c : 11127.1
vvc_w_avg_10_8x64_avx2 : 747.8
vvc_w_avg_10_8x128_c : 31058.3
vvc_w_avg_10_8x128_avx2 : 1424.6
vvc_w_avg_10_16x2_c : 624.8
vvc_w_avg_10_16x2_avx2 : 84.6
vvc_w_avg_10_16x4_c : 1389.6
vvc_w_avg_10_16x4_avx2 : 109.1
vvc_w_avg_10_16x8_c : 2688.3
vvc_w_avg_10_16x8_avx2 : 137.1
vvc_w_avg_10_16x16_c : 5387.1
vvc_w_avg_10_16x16_avx2 : 224.6
vvc_w_avg_10_16x32_c : 10776.3
vvc_w_avg_10_16x32_avx2 : 312.1
vvc_w_avg_10_16x64_c : 18069.1
vvc_w_avg_10_16x64_avx2 : 858.6
vvc_w_avg_10_16x128_c : 43460.3
vvc_w_avg_10_16x128_avx2 : 1411.6
vvc_w_avg_10_32x2_c : 1232.8
vvc_w_avg_10_32x2_avx2 : 99.1
vvc_w_avg_10_32x4_c : 4017.6
vvc_w_avg_10_32x4_avx2 : 134.1
vvc_w_avg_10_32x8_c : 9306.3
vvc_w_avg_10_32x8_avx2 : 208.1
vvc_w_avg_10_32x16_c : 8424.6
vvc_w_avg_10_32x16_avx2 : 349.3
vvc_w_avg_10_32x32_c : 20787.8
vvc_w_avg_10_32x32_avx2 : 655.3
vvc_w_avg_10_32x64_c : 40972.1
vvc_w_avg_10_32x64_avx2 : 904.8
vvc_w_avg_10_32x128_c : 85670.3
vvc_w_avg_10_32x128_avx2 : 1751.6
vvc_w_avg_10_64x2_c : 2454.1
vvc_w_avg_10_64x2_avx2 : 132.6
vvc_w_avg_10_64x4_c : 5012.6
vvc_w_avg_10_64x4_avx2 : 215.6
vvc_w_avg_10_64x8_c : 10811.3
vvc_w_avg_10_64x8_avx2 : 361.1
vvc_w_avg_10_64x16_c : 33349.1
vvc_w_avg_10_64x16_avx2 : 904.1
vvc_w_avg_10_64x32_c : 41892.3
vvc_w_avg_10_64x32_avx2 : 1220.6
vvc_w_avg_10_64x64_c : 66983.3
vvc_w_avg_10_64x64_avx2 : 2622.1
vvc_w_avg_10_64x128_c : 246508.8
vvc_w_avg_10_64x128_avx2 : 3316.8
vvc_w_avg_10_128x2_c : 7791.6
vvc_w_avg_10_128x2_avx2 : 198.8
vvc_w_avg_10_128x4_c : 10534.3
vvc_w_avg_10_128x4_avx2 : 337.3
vvc_w_avg_10_128x8_c : 21142.3
vvc_w_avg_10_128x8_avx2 : 614.8
vvc_w_avg_10_128x16_c : 40968.6
vvc_w_avg_10_128x16_avx2 : 1160.6
vvc_w_avg_10_128x32_c : 113043.3
vvc_w_avg_10_128x32_avx2 : 1644.6
vvc_w_avg_10_128x64_c : 230658.3
vvc_w_avg_10_128x64_avx2 : 5065.3
vvc_w_avg_10_128x128_c : 335236.3
vvc_w_avg_10_128x128_avx2 : 6450.3
vvc_w_avg_12_2x2_c : 185.3
vvc_w_avg_12_2x2_avx2 : 43.6
vvc_w_avg_12_2x4_c : 340.3
vvc_w_avg_12_2x4_avx2 : 55.8
vvc_w_avg_12_2x8_c : 632.3
vvc_w_avg_12_2x8_avx2 : 70.1
vvc_w_avg_12_2x16_c : 728.3
vvc_w_avg_12_2x16_avx2 : 108.1
vvc_w_avg_12_2x32_c : 1392.6
vvc_w_avg_12_2x32_avx2 : 176.8
vvc_w_avg_12_2x64_c : 2618.3
vvc_w_avg_12_2x64_avx2 : 757.3
vvc_w_avg_12_2x128_c : 6408.8
vvc_w_avg_12_2x128_avx2 : 1435.1
vvc_w_avg_12_4x2_c : 349.3
vvc_w_avg_12_4x2_avx2 : 44.3
vvc_w_avg_12_4x4_c : 607.1
vvc_w_avg_12_4x4_avx2 : 52.6
vvc_w_avg_12_4x8_c : 1134.8
vvc_w_avg_12_4x8_avx2 : 70.1
vvc_w_avg_12_4x16_c : 1378.1
vvc_w_avg_12_4x16_avx2 : 115.3
vvc_w_avg_12_4x32_c : 2599.3
vvc_w_avg_12_4x32_avx2 : 174.3
vvc_w_avg_12_4x64_c : 4474.8
vvc_w_avg_12_4x64_avx2 : 656.1
vvc_w_avg_12_4x128_c : 11319.6
vvc_w_avg_12_4x128_avx2 : 1373.1
vvc_w_avg_12_8x2_c : 595.8
vvc_w_avg_12_8x2_avx2 : 44.3
vvc_w_avg_12_8x4_c : 1164.3
vvc_w_avg_12_8x4_avx2 : 56.6
vvc_w_avg_12_8x8_c : 2019.6
vvc_w_avg_12_8x8_avx2 : 80.1
vvc_w_avg_12_8x16_c : 4071.6
vvc_w_avg_12_8x16_avx2 : 139.3
vvc_w_avg_12_8x32_c : 4485.1
vvc_w_avg_12_8x32_avx2 : 250.6
vvc_w_avg_12_8x64_c : 8404.8
vvc_w_avg_12_8x64_avx2 : 735.8
vvc_w_avg_12_8x128_c : 35679.8
vvc_w_avg_12_8x128_avx2 : 1252.6
vvc_w_avg_12_16x2_c : 1114.8
vvc_w_avg_12_16x2_avx2 : 46.6
vvc_w_avg_12_16x4_c : 2240.1
vvc_w_avg_12_16x4_avx2 : 62.6
vvc_w_avg_12_16x8_c : 13174.6
vvc_w_avg_12_16x8_avx2 : 88.6
vvc_w_avg_12_16x16_c : 5334.6
vvc_w_avg_12_16x16_avx2 : 144.3
vvc_w_avg_12_16x32_c : 8378.1
vvc_w_avg_12_16x32_avx2 : 234.6
vvc_w_avg_12_16x64_c : 21300.8
vvc_w_avg_12_16x64_avx2 : 761.8
vvc_w_avg_12_16x128_c : 32786.8
vvc_w_avg_12_16x128_avx2 : 1432.8
vvc_w_avg_12_32x2_c : 2154.3
vvc_w_avg_12_32x2_avx2 : 61.1
vvc_w_avg_12_32x4_c : 4299.8
vvc_w_avg_12_32x4_avx2 : 83.1
vvc_w_avg_12_32x8_c : 7964.8
vvc_w_avg_12_32x8_avx2 : 132.6
vvc_w_avg_12_32x16_c : 13321.6
vvc_w_avg_12_32x16_avx2 : 234.6
vvc_w_avg_12_32x32_c : 21149.3
vvc_w_avg_12_32x32_avx2 : 433.3
vvc_w_avg_12_32x64_c : 43666.6
vvc_w_avg_12_32x64_avx2 : 876.6
vvc_w_avg_12_32x128_c : 83189.8
vvc_w_avg_12_32x128_avx2 : 1756.6
vvc_w_avg_12_64x2_c : 3829.8
vvc_w_avg_12_64x2_avx2 : 83.1
vvc_w_avg_12_64x4_c : 8588.1
vvc_w_avg_12_64x4_avx2 : 127.1
vvc_w_avg_12_64x8_c : 17027.6
vvc_w_avg_12_64x8_avx2 : 310.6
vvc_w_avg_12_64x16_c : 29797.8
vvc_w_avg_12_64x16_avx2 : 415.6
vvc_w_avg_12_64x32_c : 43854.3
vvc_w_avg_12_64x32_avx2 : 773.3
vvc_w_avg_12_64x64_c : 137767.3
vvc_w_avg_12_64x64_avx2 : 1608.6
vvc_w_avg_12_64x128_c : 316428.3
vvc_w_avg_12_64x128_avx2 : 3249.8
vvc_w_avg_12_128x2_c : 8824.6
vvc_w_avg_12_128x2_avx2 : 130.3
vvc_w_avg_12_128x4_c : 17173.6
vvc_w_avg_12_128x4_avx2 : 219.3
vvc_w_avg_12_128x8_c : 21997.8
vvc_w_avg_12_128x8_avx2 : 397.3
vvc_w_avg_12_128x16_c : 43553.8
vvc_w_avg_12_128x16_avx2 : 790.1
vvc_w_avg_12_128x32_c : 89792.1
vvc_w_avg_12_128x32_avx2 : 1497.6
vvc_w_avg_12_128x64_c : 226573.3
vvc_w_avg_12_128x64_avx2 : 3153.1
vvc_w_avg_12_128x128_c : 332090.1
vvc_w_avg_12_128x128_avx2 : 6499.6Signed-off-by : Wu Jianhua <toqsxw@outlook.com>
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How to Increase Conversions With Form Analysis
30 janvier 2024, par ErinForms are one of the most important elements of your website. They are also one of the most difficult elements to analyse and improve.
Unlike a webpage, forms aren’t all that easy to analyse with standard web analytics tools. You need to learn how to conduct form analysis if you want to improve your forms’ conversion rates and increase revenue.
In this article, we’ll explain what form analysis is and why conducting a thorough form analysis is so important.
What is form analysis ?
Form analysis is a process that measures the effectiveness of your forms. Form analysis uses several tools and techniques like a form analytics platform, heatmaps, and session recordings to collect user data and understand how visitors behave when filling in forms.
The goal is to improve the design and effectiveness of your forms, reducing abandonment rate and encouraging more users to submit them.
There are plenty of reasons visitors could be having trouble with your forms, from confusing form fields to poor design and lengthy verification processes. Form analytics can help you pinpoint why your form’s conversion rate is so low or why so many users abandon your form halfway through filling it in.
Why is form analysis important ?
Website forms have some of the highest bounce rates and abandonments of any website element. By analysing your forms, you can achieve the following outcomes :
Reduce form abandonment
When it’s tough enough to get users to start filling in your form, the last thing you want them to do is abandon it halfway through. But that’s probably what your users are doing more than you’d like to think.
Why are they abandoning it ? Even if you’re humble enough to admit you didn’t create the greatest form the world’s ever seen, it can still be incredibly difficult to pin down why users give up on your form.
That’s unless you conduct a form analysis. By analysing metrics and user behaviour, you can pinpoint and rectify the issues that cause users to abandon your form.
Improve the user experience
Best practices will only take you so far. How users behave when filling in a form on your website may be completely different to how they behave on another site. That’s why you need to use form analysis to understand how users behave specifically on your website — and then use that information to optimise the design, layout, and content of the form to better suit them.
If one field is regularly left empty, for example, you can delete it. If users spend several minutes filling out a form with a high abandonment rate, you could shorten it.
The goal isn’t to make the best form ever but to make the best form for your audience.
Increase conversions
Ultimately, form analysis helps you improve your form’s most important metric : conversions. Reducing your abandonment rate will naturally lead to more completions, but so will taking advantage of other optimisation opportunities that only become clear with form analysis. This can include optimisations like :
- Moving the form higher up on the page
- Shortening the form
- Changing the heading and CTAs
- Renaming field labels
A thorough form analysis process can ensure your forms generate as many conversions as possible.
Why do users abandon forms ?
Are you already suffering from high form abandonment rates ? Don’t worry, you’re not alone. Marketers regularly make the same mistakes when creating forms that cause users to give up halfway through completion.
Here are some of the most common reasons for form abandonment :
- There are too many steps. If you’re telling users they’ve just completed step 2 of 12, you can bet they won’t bother finishing your form.
- They ask for too much information. No one wants to fill out a long form, and often, users won’t have the information on hand if you ask for too much. Just look at the rate left blank from the Unneeded Fields report in the screenshot below :
- The form is confusing. Unclear form fields or directions can put users off.
- All the fields are free text and time-consuming. Filling out forms with long text fields takes too much time. To speed things up, use dropdown options in the fields, but keep the options to a minimum. This not only helps users finish the form faster but also makes it easier to analyse the data later because it keeps the data format consistent so you can organise the information more efficiently.
- Users don’t trust the form. This is a particular problem on checkout pages where users are entering sensitive information.
How to conduct form analysis
You need to collect user behaviour data to effectively analyse your forms. But a lot of traditional website analytics tools won’t have the required functionality.
Matomo is different. Our web analytics solution offers comprehensive web analytics as well as additional features like Heatmaps, Session Recordings, A/B Testing, and Form Analytics to provide all the functionality you need.
Now if you don’t use Matomo, you can try it free for 21 days (no credit card required) to see if it’s the right tool for you.
Whether you use Matomo or not is up to you. But, once you have a suitable tool in place, just follow the steps below to conduct a form analysis.
Check your analytics
Tracking and analysing specific form metrics should be the first place you start. We recommend collecting data on the following metrics :
- Form starter rate : the percentage of visitors who actually start to fill in your form
- Completion rate : the percentage of visitors who complete the form
- Form abandonment rate : the percentage of users who gave up filling in your form
- Time spent completing your form : the average length of time users spend on your form
Let’s look at these metrics are in Matomo’s Form Analytics :
The dashboard shows an overview of these metrics over a given period, allowing you to see at a glance whether there are issues you need to rectify.
Next, deep dive into the performance of each form to see things like :
- Drop off fields
- Unused fields
- Entry field
- Most corrected fields
You can even use Matomo’s visitor log to see who’s behind every submission.
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Use a heatmap
A heatmap is a colour-based graphical representation of data. A heatmap will show what users to do on your website, including :
- How far they scroll
- Which buttons they click on
- Where they focus their attention
When used on a webpage with a form, you’ll be able to see how often users interact with your form based on the heatmap colour, with warmer colours representing greater engagement levels.
Let’s look at a heatmap in Matomo :
This heatmap is showing us how far down users have scrolled. It’s clear that only 63% of visitors are reaching the point above our call to action to see all features. We might want to consider moving that call to action up in order to get more engagement.
A heatmap is a great way to see whether your form’s placement gets the level of attention you want from visitors and to what extent visitors interact with your field.
Record user sessions
Session replays go even further than heatmaps, recording a real-life user interacting with your site. It’s like looking over a visitor’s shoulder while they use your site.
With Matomo, you can record any sessions where the user takes a certain action (like starting to fill in a form), allowing you to build a rich library of qualitative data.
You can then replay a recorded session at your leisure to understand exactly how users interact with your forms.
Segment users
If you really want to understand how visitors use your forms, then it’s essential to segment your data.
You can segment all Form Analytics reports by over 100 pre-built segments in Matomo.
One way to segment your data is by comparing the average time on form of those who completed the form with those who abandoned it.
If users abandon a form quickly, that could indicate your form is irrelevant to this audience or too long. If users spend a lot of time on the form, however, it’s probably safe to assume that it is relevant but there is something wrong with the form itself.
Looking at the Field Timings report will help you pinpoint which field visitors are spending the most time on and causing frustration.
The Field Timings example report in Matomo above, it’s evident that the “Overview of your needs” field takes up the most time (avg. time spent is 1 min 40s). To improve this, we might want to change it to a dropdown field. This way, users can quickly select options, and if necessary, provide additional details.
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Another way is to segment data by traffic source and compare each source’s conversion rate. This will show whether one traffic source converts better than another or if one source isn’t interested in your form at all.
How to optimise web forms
Want to implement what you’ve learnt from your form analysis ? Follow these steps to optimise your existing web forms.
Define your form’s purpose
The first step in optimising your existing web forms is to give a clear and definitive purpose to every single one.
When you have a defined goal, creating a form users will complete is much easier. After all, if you don’t know why people should fill in one of your forms, how would a visitor possibly know ?
Take a look at one of our forms below :
The purpose of this form is to get users to sign up for a free trial of our web analytics platform, and every element works towards that goal :
- The headline directs the user to take action
- The copy explains that it’s a free trial that doesn’t require credit card details
- The green call-to-action button reinforces the action and benefit
- There is validation to support this under the form – “Trusted on over 1 million websites in over 190+ countries”
Our clear instructions leave users no doubt about why they should fill in the form or what will happen.
Choose the right type of form
You can use several forms on your website, each with different designs, form fields, and goals.
For example :
- Registration forms are fairly minimalist and designed to collect the least amount of data possible.
- Contact forms are concise so that it’s easy for potential customers to reach your team.
- Checkout forms balance a need to collect important data with a streamlined design that doesn’t put users off.
- Lead generation forms are compelling and usually include qualifying questions so sales teams can score leads.
Make sure you are using the right type of form to avoid abandonments and other issues. For example, requiring users to fill in a lengthy lead generation-style form when you want them to sign up for a free trial will probably kill your conversion rate.
Test form elements
If your form analysis has shed light on one or two issues, you can use A/B or multivariate testing to trial new elements or designs and see how they compare.
There’s no shortage of elements you can test, including the form’s :
- Headline
- Placement
- Design
- CTA button
- Colour-scheme
- Length
- Form fields
Matomo makes it easy to create and run A/B tests on your website’s forms.
Move your form above the fold
One of the simplest ways to optimise your web form is to move it above the fold — that’s the section of the screen users see when they load your page.
Why ? Well, the more people who see your form, the more people will fill it in. And when it’s above the fold, users can’t help but see it.
Conclusion
Forms are one of the most important elements on your website, so why not treat them as such and regularly run a thorough form analysis ? By doing so, you’ll identify ways to optimise your form, improve the user experience, and improve conversions.
Matomo is the best platform for conducting form analysis. Our combination of web analytics, Form Analytics, Session Recordings, and Heatmaps means you have all the tools you need to learn exactly how visitors interact with your forms.
See just how powerful Matomo’s tools are by starting a free 21-day trial, no credit card required.
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