Assisted Conversions: How to Track Them in Metrica and Google Analytics

Contents:

• Understanding Assisted Conversions: The Key to Successful Marketing
• The Impact of Assisted Conversions on Sales Funnel Performance
• Conversion Attribution: Models and Their Importance for Analytics
• Effective Work with Assisted Conversions in Google Analytics
• Effective Use of Assisted Conversions in Yandex.Metrica
• Effective Traffic Analysis Strategies
• Understanding Assisted Conversions: Key Aspects
• How to Effectively Evaluate Results marketing

Understanding Assisted Conversions: The Key to Successful Marketing

Assisted conversions are significant in digital marketing strategy because they help better understand the customer journey. Before delving into this topic, it's important to define what is meant by organic conversions. Organic conversions are specific actions users take on your website, such as purchases, registrations, or form completions. Understanding both assisted and organic conversions allows businesses to optimize marketing campaigns, improve the user experience, and increase overall sales effectiveness. Assisted conversion analysis helps identify the impact of various channels on the final goal, which in turn facilitates more accurate budget and resource allocation.

Conversion is a key metric reflecting the process through which users move from one stage to another, for example, turning from regular website visitors into paying customers. To calculate conversion, the following formula is used:

The conversion formula is as follows: the number of target actions is divided by the total number of visitors and multiplied by 100%. This metric allows you to evaluate the effectiveness of a web resource by showing what percentage of visitors completed the desired action. Conversion optimization is an important part of a marketing strategy, as it helps increase user engagement with the website and, consequently, its profitability.

If 5 out of 100 website visitors made a purchase, this means that the conversion rate is 5%. Key target actions that can influence the conversion rate are newsletter subscriptions, submitting applications, and website registrations. Optimizing these actions will help increase website performance and attract more customers.

If 40 conversions come from VKontakte, this means that 40 users completed an order on the website after visiting from this platform. Analyzing social media conversions allows you to evaluate the effectiveness of marketing strategies and optimize advertising campaigns to increase sales.

Assisted conversions differ from standard conversions in that they do not originate directly from the traffic source, but rather go through intermediate stages. For example, if advertising on Yandex.Direct resulted in 40 assisted conversions, this means that 40 users first clicked on the ad and then returned to complete the purchase through another channel. This approach allows you to more accurately evaluate the effectiveness of advertising campaigns and understand how different channels interact with each other, helping to increase sales and drive targeted actions. Optimizing marketing strategies with assisted conversions helps increase the overall return on investment (ROI) and improve the user experience.

Assisted conversions are an important aspect of user behavior analysis. For example, a user first lands on a website through organic search, then sees an ad on Yandex.Direct, and ultimately returns through a social network to complete a purchase. In this scenario, the conversion is recorded by the social network, while assisted conversions are also included in organic search and Yandex.Direct. This underscores the importance of a multi-channel approach to marketing and the need to consider all stages of the user's interaction with the brand.

Assisted conversion analysis is a key tool for prioritizing channels in your marketing strategy. Neglecting this analysis and relying solely on standard conversions can significantly complicate the sales funnel process and miss important opportunities for optimization. Using assisted conversion data helps you gain a deeper understanding of how users interact with your content and advertising efforts, which in turn facilitates more effective budget and resource allocation.

The Impact of Assisted Conversions on Sales Funnel Performance

Purchasing is a multi-stage process that rarely occurs instantly. Before making a purchase decision, users go through a series of stages, including recognizing a need, exploring options, and evaluating offers. One well-known model describing these stages is the Awareness Ladder, created by Ben Hunt. For a deeper understanding of this model and its application in marketing, we recommend consulting specialized resources. This model helps to better understand consumer behavior and optimize sales strategies.

• Stage zero — the user is unaware of their problem and takes no action;
• Stage one — awareness of the problem, but no search for solutions;
• Stage two — active search for possible solutions;
• Stage three — choosing a solution and finding a suitable company for cooperation;
• Stage four — knowledge of the company, but no confidence in the need to purchase;
• Stage five — closing the deal.

At each stage of the sales funnel, it is necessary to use a variety of marketing tools to effectively interact with customers. For example, a user at the third level, when they are actively searching for solutions, can move to the fourth stage through advertising in Yandex.Direct. They can complete the process by interacting with content on social networks at the fifth level. This approach not only attracts customers but also significantly increases the likelihood of closing a deal. Effectively using various communication channels at all stages of the funnel improves conversions and increases audience loyalty. Ignoring assisted conversions can lead to the false conclusion that only social media drives results. In fact, without interactions through search advertising and contextual advertising, such as Direct, a purchase would likely not have occurred. It is important to consider all channels that influence the user's path to conversion to gain a complete understanding of the results of marketing efforts. Analyzing assisted conversions allows you to better understand how various traffic sources interact with each other and contribute to final purchase decisions. If you are looking to deepen your knowledge of advertising effectiveness, consider Skillbox courses, which offer a variety of training programs. These courses will help you master key methods of advertising campaign analysis, learn how to interpret data, and apply this knowledge to improve advertising performance. Skillbox provides access to relevant materials and practical tasks, which contribute to a deeper understanding of the topic.

• Marketing Analyst: Master the analysis of the entire sales funnel and automate routine tasks.
• Web Analyst: Learn to work with large volumes of data and use advanced analytical tools.
• End-to-end analytics: Learn how to calculate advertising return on investment and evaluate key product metrics.

Conversion Attribution: Models and Their Importance for Analytics

Analyzing assisted conversions plays a key role in marketing because it helps identify which channels attract customers and encourage purchases. Modern analytics systems, such as Google Analytics and Yandex.Metrica, use various attribution models to accurately account for these conversions. Understanding assisted conversions allows you to optimize marketing strategies and allocate budgets more effectively, which ultimately leads to increased sales and business growth. Using the right attribution model provides a more complete picture of user interactions with a brand at all stages of their purchasing journey.

There are five key attribution models, each with unique characteristics and suited to different business scenarios. These models allow you to more accurately evaluate the effectiveness of marketing channels and understand how they influence customer purchasing decisions. Understanding the different attribution approaches helps optimize advertising strategies and improve ROI. Choosing the right attribution model depends on the specifics of your business, marketing goals, and the characteristics of your target audience.

Last Click is a widely used attribution model that attributes the full credit for a conversion to the last traffic source from which a user arrived on your website. For example, if a user saw an ad on social media, then navigated to a website through a search engine, and ultimately made a purchase, all credit for the conversion would go to the social network. This model helps understand which channels are most effective in the final stage of the customer journey, but it doesn't take into account the contribution of previous traffic sources to the purchasing decision.

First Click is an attribution model that attributes the conversion entirely to the first traffic source. If a user first visited a website through a search engine, that source would receive all credit for the subsequent action, such as a purchase or registration. This model allows you to evaluate the effectiveness of the initial stages of customer acquisition and identify which channels are most successful in establishing the first contact with potential customers. Optimizing marketing strategies with the First Click model in mind can significantly improve results in attracting new users and increasing conversions.

The Linear Model is an approach that distributes the weight of the conversion equally across all traffic sources involved in the process. If a user arrives at a site via a search engine, direct traffic, and social media, each of these sources receives an equal share of the associated conversion, that is, one-third. This method allows for the contribution of all channels to achieving the final goal to be taken into account, making the analysis fairer and more comprehensive. The linear model is often used to simplify the process of evaluating the effectiveness of various marketing strategies, providing an understanding of how each interaction influences the final results.

The position-based conversion credit distribution model identifies the primary and final sources, which are each assigned 40% of the total conversion. The remaining 20% ​​is distributed among intermediate sources. This approach allows for a more accurate analysis of the user's path through the sales funnel, providing a deep understanding of their interactions with various touchpoints. This can help optimize marketing strategies and improve the effectiveness of advertising campaigns.

Time Decay is a model in which traffic sources closer to the conversion are given greater weight. This model helps determine which channels are most effective in the short term, allowing marketers to optimize their strategies. Taking time into account allows for a more accurate analysis of the impact of different sources on the final result, which can be especially useful for advertising campaigns with a limited timeframe. Therefore, using the Time Decay model can increase ROI and improve marketing results. Attribution models can be customized to optimize reporting for different advertising campaigns. For example, you can use the Time Decay model to evaluate the effectiveness of new advertising, then switch to the First Click model for a more in-depth analysis of traffic sources. This approach allows for a more accurate assessment of the impact of each channel on conversions and improves the efficiency of advertising spend. A properly selected attribution model helps to identify the strengths and weaknesses of marketing strategies, which in turn helps improve results.

For To gain a deeper understanding of attribution, it's important to consider which models are most suitable for your business. For example, for highly specialized niches with short sales cycles, the Last Click model is optimal. However, if your business involves longer decision-making processes, it's worth considering Linear or Position-Based models. Choosing the right attribution model will help you more accurately evaluate the effectiveness of advertising channels and optimize marketing strategies.

For an in-depth study of attribution and analytics, we recommend visiting resources such as Neil Patel and HubSpot. These sites offer useful materials, articles, and tools that will help you better understand how analytics works in digital marketing. With knowledge in this area, you can more effectively analyze data and make informed decisions to improve your business results.

Read also:

I discovered a profession that doesn't depend on age, time, or workplace. It's an internet marketer. In today's digitally-driven world, digital marketing is becoming increasingly popular. It offers remote work and flexible time management, making it appealing to people of all ages and backgrounds. Digital marketing encompasses many aspects, including SEO, content marketing, social media, and analytics, allowing everyone to find their niche and thrive in this dynamic field. Effectively Working with Assisted Conversions in Google Analytics Google Analytics offers two main versions for data analysis: the legacy Universal Analytics and the current Google Analytics 4. It's important to note that Universal Analytics will be retired in July 2023, making the transition to the new platform essential for users. Google Analytics 4 offers improved data collection and analysis features, allowing you to more effectively track user behavior and optimize marketing strategies. Upgrading to Google Analytics 4 will provide access to modern tools and capabilities to help businesses remain competitive in the digital space. Universal Analytics offers a variety of attribution models that allow for a deeper analysis of each channel's contribution to overall conversions. To take advantage of these capabilities, it's important to properly set up goals and select the appropriate attribution model. To do this, go to the ADMIN section, then select View, then Multi-Channel Funnels Settings, and click New Attribution Model to select the desired option. Optimal attribution settings help you better understand which channels are most effective in achieving your business goals.

To evaluate your results, open the report by following this path: "Conversions" → "Multi-Channel Funnels" → "Assisted Conversions." In this section, you can see how many conversions were achieved through various channels. Analyzing this data will help you better understand the effectiveness of your marketing strategies and optimize them for higher conversions.

Google Analytics 4 provides support for all available attribution models, allowing users to choose the most appropriate model for data analysis. To select an attribution model, go to the "Admin" section and then to "Attribution Settings." This feature allows you to tailor your analysis and more accurately evaluate the effectiveness of marketing channels.

Google Analytics 4 doesn't have a separate report on assisted conversions. Instead, this data can be found in the "Conversion Paths" report, available in the "Advertising" section. This report provides information on which channels were involved in the sales funnel and how many target actions they generated. This allows users to analyze the effectiveness of various advertising channels and optimize their marketing strategies to increase conversions.

The report allows you to select an attribution model, allowing you to determine the initial entry point into the sales funnel and then analyze the channels that contribute to conversions. This allows you to more accurately evaluate the effectiveness of advertising campaigns and optimize your marketing strategy. Choosing the right attribution model helps identify the most effective channels, which in turn helps increase your advertising ROI.

Effective Use of Assisted Conversions in Yandex.Metrica

Yandex.Metrica offers four main attribution models. Each allows you to analyze the customer journey in more depth and identify acquisition sources. These models will help you optimize your marketing strategies and improve the effectiveness of advertising campaigns by providing valuable insights into how users interact with your content. Choosing the right attribution model is key to accurately assessing results and planning further steps in promoting your business.

First-click attribution is an analysis method that assigns full credit for a conversion to the first traffic source that brought the user to your site. This approach allows you to understand which channels are most effective in attracting new customers. First-click attribution is particularly useful for evaluating the effectiveness of advertising campaigns and content marketing strategies. It helps identify which user actions during the initial phase of interaction with a brand contribute to subsequent conversions. This method can improve marketing strategy planning and advertising budget optimization.

Last-click attribution is a method of evaluating the effectiveness of marketing campaigns that assigns full credit for a conversion to the last channel a user interacted with before completing an action, such as a purchase. This approach allows businesses to understand which channels drive immediate results and optimize their advertising strategies by focusing on the most effective traffic sources. However, it's important to note that last-click attribution doesn't account for the influence of other touchpoints along the user journey, which can lead to underestimation of the importance of other channels in facilitating a purchase decision. Therefore, it is important to use this method in combination with other attribution approaches to obtain a more complete picture of marketing effectiveness.

Last significant click from advertising in Yandex.Direct.

The last significant click takes into account only significant channels, excluding direct visits and internal clicks. This aspect is important for a more accurate analysis of the effectiveness of marketing strategies and allows you to focus on those traffic sources that actually influence conversions. This approach will help identify key channels that drive business growth and optimize marketing efforts for better results.

The last significant click model provides a more accurate analysis of data by excluding unimportant channels. This approach allows you to focus on sources that actually influence conversions, which helps improve the effectiveness of marketing strategies and optimize advertising budgets. Using this model allows you to better understand user behavior and identify key touchpoints, which in turn helps improve business results.

Yandex.Metrica doesn't have a dedicated report on assisted conversions. However, you can use standard reports using various attribution models. For example, in the "Sources, Summary" report, select the appropriate model to analyze the impact of different channels on achieving your goals. This will allow you to better understand how different traffic sources contribute to conversions and optimize your marketing strategy.

Let's look at a practical example of choosing an attribution model based on the first click and a goal associated with clicking the demo button on the homepage. After analyzing, we can generate a report showing that users who requested a demo period most often began interacting with the site through search engines. This emphasizes the importance of website optimization for search engines, which helps attract the target audience and increase conversions.

Effective Traffic Analysis Strategies

When analyzing traffic, it's important to pay attention to assisted conversions. These metrics are especially important if you use multiple channels to attract visitors. In most cases, a full-fledged website receives traffic from a variety of sources, so ignoring assisted conversions can distort the picture of marketing effectiveness. By considering assisted conversions, you can better understand which channels contribute not only to direct but also indirect results, which in turn will help optimize your traffic acquisition strategy and increase overall site conversion.

Testing advertising channels using different attribution models is an important step in optimizing marketing strategies. Attribution models may not always accurately reflect the importance of individual channels, which can lead to incorrect conclusions. Before deciding to discontinue the use of certain channels, it is important to review assisted conversion reports. This will allow you to more objectively evaluate the contribution of each channel to overall results and avoid losing effective traffic sources. Proper attribution analysis will help improve the effectiveness of advertising campaigns and enhance overall ROI.

Imagine you use the standard last-click attribution model. In this case, users may arrive at your website through various channels, including social media, email newsletters, and messaging apps like Telegram. If most purchases are made after clicking through email, other channels, such as Telegram and teaser ads, may appear less effective within this attribution model. This can lead to an underestimation of the importance of these channels in the purchase decision process and hinder the optimization of marketing strategies. To effectively utilize all available channels, it is worth considering more comprehensive attribution models that take into account the contribution of each channel to the customer journey.

Analysis of the report using the linear attribution model shows that social media and Telegram play a significant role in the customer journey. This highlights the need to conserve budget for these channels, as they significantly impact customer acquisition and retention.

Understanding Assisted Conversions: Key Aspects

Assisted conversions play a key role in sales funnel analysis, as they record user interactions with various intermediate sources. Ignoring this data can lead to incorrect conclusions about the effectiveness of advertising channels, which, in turn, will negatively impact overall business results. Correct interpretation of assisted conversions allows you to more accurately evaluate the effectiveness of marketing strategies and optimize advertising budgets, which contributes to increased profits and company growth.

There are several attribution models that help identify which advertising channels contributed to conversions. One of the most popular is the last indirect interaction attribution model. In this model, the conversion is attributed to the source through which the user came immediately before performing the target action. This allows you to more accurately analyze the effectiveness of advertising campaigns and optimize marketing strategies. Understanding attribution models is key to increasing your return on investment (ROI) and improving overall business results.

Google Analytics offers five main attribution models, each with unique characteristics. To obtain data on assisted conversions in Universal Analytics, go to the "Conversions" section, then select "Multi-Channel Funnels" and open "Assisted Conversions." Google Analytics 4 does not have a separate report, but users can find the necessary information in the "Advertising" → "Conversion Paths" section. Using attribution models correctly allows you to more accurately evaluate the effectiveness of marketing channels and improve customer acquisition strategies.

Yandex.Metrica offers four main attribution models: first click, last click, last significant click, and last click from Yandex.Direct. Although there is no separate report for these models, they can be applied to standard reports, such as "Sources, Summary." This allows for a more in-depth analysis of advertising campaign effectiveness and a better understanding of which channels attract users and drive conversions. Using various attribution models helps optimize marketing strategies and increase the ROI of advertising investments.

How to Effectively Evaluate Marketing Results

• Conversions range from converting visitors into buyers to turning leads into sales. Our guide provides a detailed look at key conversions, methods for evaluating them, and standard metrics that should be considered normal.
• Marketing metrics such as ROI (return on investment), ROMI (return on marketing investment), and ROAS (return on advertising spend) are important tools for analyzing effectiveness. Learn how to correctly calculate these metrics and understand their differences so you can choose the most appropriate one for evaluating your advertising campaign.
• Yandex.Metrica is one of the most popular services for analyzing marketing data. This article from Skillbox Media provides a detailed overview of key reports that will help you get the most out of your analytics.
• The world of marketing is full of metrics to consider. We recommend taking the Skillbox course "Marketing Analyst Profession" to learn how to correctly select metrics and make informed decisions based on data. Specialists with such knowledge can earn up to 90 thousand rubles at the beginning of their career.

We recommend studying other valuable materials on marketing from Skillbox Media.

• Social media engagement indicators: ER and ERR — what are these metrics, how to calculate them, and what to compare them with.
• What is a CTA (call to action), where to effectively place it, and how to create attractive text for conversion.
• Key metrics for email newsletters: Open Rate, Click Rate, and CTOR — how to interpret them correctly.
• Marketer's dictionary: CPC, CPM, CPA, CPL — what do they mean and how to calculate them.
• ABC/XYZ analysis: what is it and how to use it to make strategic decisions in business.