Find answers to frequently asked questions and situations related to the Leads Captures P.P.C.T. Dashboards from Guru. The data presented in this dashboard helps analyze the efficiency of your lead capture strategies.
This dashboard is essential for understanding which pages, forms, and traffic sources are generating leads with the best cost-benefit and highest potential for future sales conversion.
On this page:
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Information Management in the Leads Captures P.P.C.T. Dashboard
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Capture Funnel Indicators
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Statistical Summary
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Sources
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Trackings
Information Management in the Leads Captures P.P.C.T. Dashboard
Clear your doubts about how to filter, export and update the data from the Leads Captures P.P.C.T. Dashboard, in addition to understanding best practices for analyzing this information in an integrated way with other dashboards.
- How can I filter the data in the Leads Captures P.P.C.T. Dashboard?
You can filter the information in the Leads Captures P.P.C.T. Dashboard in the Guru admin. To do this, click on the side menu, access Dashboards, select P.P.C.T. and then, Lead Captures.
it is possible to filter according to the criteria:
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Period: by the trackings of the selected period - it is possible to use the pre-defined time interval buttons or select the date you wish to view;
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Tracking User: by tracking user;
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Sources: by tracking source;
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P.P.C.T. Groups: by tracking groups.
With these filters, it is possible to direct the analysis to specific scenarios and evaluate lead capture performance in a more strategic and segmented way.
When filtering the Leads Captures P.P.C.T. Dashboard you access specific tracking information you wish to consult.
- How can I export the data from the Leads Captures P.P.C.T. Dashboard?
You can export the data from the Leads Captures P.P.C.T. Dashboard in the Guru admin. To do this, access the side menu and click on Dashboards. Then, select P.P.C.T. and, next to it, Lead Captures. At the top of the page, click on PDF. After a few minutes, the PDF Download will appear to Save.
If you wish to export your dashboard data, access Manage Leads Captures P.P.C.T.s.
- Why should I manually update the Leads Captures P.P.C.T. Dashboard?
The manual update of the Leads Captures P.P.C.T. Dashboard is recommended to ensure you are analyzing the latest available data.
This is important because:
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Cache usage: the dashboard uses a cache of approximately 5 minutes - therefore, new captures or recent updates may not yet be automatically reflected on the screen;
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Receipt of external data: some metrics depend on synchronization with external systems - when you manually update the dashboard, guru checks if there is new information processed since the last update;
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Application of filters: whenever you change the period or apply filters by user, source, or tracking group, the update ensures that the displayed indicators correctly correspond to the selected segment.
To update your Leads Captures P.P.C.T. Dashboard, access the side menu in the Guru admin and click on Dashboards. Then, select P.P.C.T. and, next to it, Lead Captures. In the upper right corner, click on Update.
You can filter the Leads Captures P.P.C.T. Dashboard to access specific tracking information you wish to consult.
- How often should I update the Leads Captures P.P.C.T. Dashboard?
To monitor your business's latest performance, you can update your dashboard after new captures or recent sales, to check data processing; after applying or changing filters; and during more detailed analyses, when you need to ensure that the indicators displayed reflect the most current scenario possible.
To update your Leads Captures P.P.C.T. Dashboard, access the side menu in the Guru admin and click on Dashboards. Then, select P.P.C.T. and, next to it, Lead Captures. In the upper right corner, click on Update.
- Does it make sense to analyze Lead Captures and Lead Sales in an integrated way?
Yes, because the integrated analysis of dashboards allows evaluating the real efficiency of the customer journey by connecting initial interest and final sales results.
While the Leads Captures P.P.C.T. Dashboard indicates the sources and campaigns that attract qualified leads, analyzing metrics such as clicks, new leads, conversion rate, and CPL, the P.P.C.T. Lead Sales Dashboard indicates which of these contacts effectively evolve into purchases, highlighting the impact on revenue and return over time.
This integrated view allows:
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Evaluating the quality of interest generated: not every lead captured has purchase potential - by crossing capture and sales, it is possible to identify which sources attract more qualified leads;
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Making long-term decisions: investing in campaigns that generate leads who buy - even if the CPL initial is higher, it tends to be more advantageous than focusing only on volume;
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Optimizing commercial and remarketing strategy: understanding lead behavior over time helps adjust communication, offers, and conversion timing;
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Data centralization: guru's P.P.C.T. system connects the first click to payment confirmation.
To complement your analysis with a consolidated view, the P.P.C.T. Summary Dashboard gathers sales, sales quantity, and traffic costs, offering an overview of performance.
Capture Funnel Indicators
Understand how the capture funnel works in the Leads Captures P.P.C.T. Dashboard and how to interpret, in a single flow, data on clicks, leads, new leads, and costs, identifying bottlenecks, evaluating traffic quality, and optimizing campaigns, pages, and capture forms.
- What data is displayed in the Capture Funnel of the Leads Captures P.P.C.T. Dashboard?
The capture funnel of the Leads Captures P.P.C.T. Dashboard presents the main indicators for you to monitor the performance of capture campaigns in the selected period.
The data presents:
|
Indicator |
What it represents |
How to interpret in practice |
Importance in analysis |
|---|---|---|---|
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Clicks |
Total clicks tracked in the period |
Shows the volume of traffic directed to capture |
Evaluates the reach and attractiveness of ads |
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Leads |
Total leads generated from clicks |
Indicates how many visitors converted into leads |
Measures the overall effectiveness of capture |
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New Leads |
Contacts that entered the database for the first time |
Differentiates real growth from impacts on existing leads |
Essential for acquisition analysis |
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Cost |
Total value invested in campaigns |
Reflects the investment attributed to trackings in the period |
Basis for all efficiency metrics |
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CPL |
Relationship between total cost and leads generated |
Allows comparing efficiency between campaigns and sources |
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New CPL |
Considers only new leads in the database |
Most accurate indicator of acquisition cost |
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CPC |
Relationship between total cost and registered clicks |
Evaluates the efficiency of traffic investment |
You can filter the Leads Captures P.P.C.T. Dashboard to access information about a specific period you wish to view.
- How to interpret costs in the capture funnel of the Leads Captures P.P.C.T. Dashboard?
The costs in the capture funnel of the Leads Captures P.P.C.T. Dashboard should always be interpreted in conjunction with click, lead, and new lead indicators. The invested value is the basis for calculating CPC, CPL, and New CPL, allowing evaluation of whether the budget is generating qualified traffic, efficient conversions, and real growth in the lead base.
By analyzing these metrics in an integrated way, it is possible to understand the financial efficiency of campaigns throughout the capture process, identify which campaigns and traffic sources offer the best cost-benefit, and direct adjustments to optimize investment in lead acquisition.
The combined reading of these metrics indicates whether the adjustment should be made in the ad, segmentation, or capture page. Access the data in the capture funnel section in the Leads Captures P.P.C.T. Dashboard.
– Why can CPL vary between different sources or trackings?
The CPL (Cost per Lead) can vary between sources or trackings because it reflects the efficiency of each channel, campaign, and capture page.
The main reasons for this variation are:
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Costs of traffic sources:
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each ad platform has different CPC values and auction dynamics, which directly impacts the cost per lead;
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Campaign and tracking performance:
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distinct ads, audiences, and messages can generate different conversion rates, even within the same source;
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Landing page efficiency:
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pages with better usability and clearer offers convert more visitors into leads, reducing CPL;
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Automatic optimizations (Neural A/B Test):
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during the learning phase, traffic can be redistributed among variations, generating temporary CPL differences;
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Lead profile (new vs. existing):
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sources that impact already registered leads tend to have a lower overall CPL, while new CPLs more accurately reflect the cost of acquiring new contacts.
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In the Leads Captures P.P.C.T. Dashboard, the cost per lead (CPL) can be analyzed along with the metrics of the capture funnel, of sources and of trackings.
- When can a high CPL indicate problems in the capture strategy?
A HIGH CPL (Cost per Lead) can indicate bottlenecks in the efficiency of your capture campaigns, whether in traffic, conversion, or strategy profitability.
This scenario is usually related to:
Low conversion of the capture page: indicates that the page or form is not converting visitors into leads well, whether due to an unclear offer, layout, copy, or excessive friction.
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Actions that can be taken: you can review the page structure, test variations of CTA and layout, for example, and monitor the relationship between clicks and leads to validate the improvement in the conversion rate.
Inefficiency of ads or segmentation: may signal unattractive creatives or misaligned audiences, resulting in expensive and poorly qualified clicks.
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Actions that can be taken: a possible solution is to pause ads with high CPC and low lead generation and prioritize those that show a better relationship between CPC and CPL, indicating more qualified traffic.
Acquisition cost above expectations: when CPL is much higher than planned, the campaign can become financially unfeasible, impacting the product's margin.
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Actions that can be taken: in this case, it is possible to adjust the budget, redefine audiences, or review the offer, comparing CPL with sales conversion results to ensure investment sustainability.
Low performance in campaign variations (A/B Test): in comparative tests, a high CPL in one variant indicates lower efficiency and helps identify versions that should be paused.
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Actions that can be taken: this metric can be used as a criterion to pause less performant versions and concentrate investment on variations with better cost-benefit.
Inferior performance by traffic source: allows identifying channels or acquisition strategies that generate leads with high cost and lower return.
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Actions that can be taken: you can redistribute investment among sources, reducing budget in channels with higher CPL and scaling those that show better efficiency and volume of new leads.
it is important to monitor CPL continuously, so you can identify bottlenecks in acquisition, adjust campaigns, optimize pages, and direct investment to the sources that truly generate leads with better cost-benefit.
- How to identify bottlenecks in the Capture Funnel based on the displayed indicators?
To identify bottlenecks in your capture funnel from the P.P.C.T. Leads Captured Dashboard, you should analyze the relationship between volume indicators and cost indicators to locate at which stage the lead is being lost or becoming more expensive.
For this, consider in your analysis:
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Stage analyzed |
Related indicators |
What to observe |
Possible bottleneck identified |
|---|---|---|---|
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Traffic volume |
Clicks × Leads |
Many clicks with few leads |
Capture page with low conversion (copy, offer, layout or performance) |
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Access cost |
CPC above expected |
Unattractive ads, weak creatives or inadequate segmentation |
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Capture efficiency |
HIGH CPL |
Expensive traffic, low page conversion, or a combination of both factors |
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Base expansion |
CPL × New CPL |
New CPL much higher than the general CPL |
Campaigns predominantly reaching existing leads, limiting scale |
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Traffic source |
Source with high costs and low lead volume |
Inefficient specific channel or campaign, requiring optimization or pause |
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Variant optimization |
Conversion Score (Neural A/B Test) |
Variants with low score |
Statistically less efficient versions that should be discarded |
The analysis of indicators related to the capture funnel helps identify the funnel stage where cost increases or volume decreases. This allows you to direct more precise optimization actions in ads, landing pages, segmentation, a/B tests and traffic channels, making capture more efficient and scalable.
Statistical Summary
Clarify your doubts about the statistics displayed on the P.P.C.T. Leads Captures Dashboard and learn how to analyze the evolution of clicks and leads over time.
- What metrics are available in the P.P.C.T. Leads Captures Dashboard Statistics?
In the Statistics section of the P.P.C.T. Leads Captures Dashboard you will find a consolidated view of the main performance indicators for lead capture campaigns in the selected period.
Consolidated values are displayed in evolution graphs, allowing daily analysis (periods up to 31 days) or monthly analysis (periods longer than 31 days).
The metrics presented include:
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Total Clicks(1): total number of tracked clicks, indicating the volume of traffic directed to capture;
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Total Leads(1): total number of tracked leads, considering all conversions;
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Total New Leads(1): total of new contacts that entered the database for the first time;
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Conversion Rate: percentage of conversion between clicks and leads, indicating the efficiency of lead generation.
(1) The information refers to the informed period.
Use the filters of the P.P.C.T. Leads Capture Dashboard to access information about a specific period you wish to view.
For better visualization and data analysis, it is possible to save the image of the statistics chart.
- When to use the daily or monthly view in the P.P.C.T. Leads Capture Dashboard Statistics?
In the Statistics section of the P.P.C.T. Leads Capture Dashboard, the daily view is indicated for short-term analyses, such as monitoring rapid performance variations, validating recent ad adjustments, or identifying specific fluctuations in clicks, leads, and conversion rate.
On the other hand, the monthly view is more relevant for strategic analyses, as it helps identify trends, behavior patterns, and the consistent evolution of campaigns over time, supporting decisions on budget, scale, and channel prioritization.
Use the filters of the P.P.C.T. Leads Capture Dashboard to access information about a specific period you wish to view.
- What can a variation in the conversion rate over time indicate?
In the P.P.C.T. Leads Capture Dashboard statistics chart, a variation in the conversion rate indicates changes in the efficiency of your lead generation strategy in transforming clicks into leads.
These fluctuations can signal:
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Indicator analyzed |
What the variation can indicate |
How to interpret in practice |
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Performance of the landing page |
Changes in the page's ability to convert clicks into leads |
Drops suggest problems in the proposal, form, or usability; increases indicate improvement in persuasion |
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Change in the level of interest or alignment of the audience with the offer |
Clicks on the rise with conversion falling indicate less qualified traffic |
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Behavior over time |
Seasonal patterns or impact of recent adjustments |
Helps identify days, periods, or campaigns with better or worse performance |
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Acquisition of new audiences |
Influence of new audiences entering conversion |
Understand if variations are associated with new leads or indicate reuse of the base |
Monitoring the conversion rate over time allows validating the impact of changes in ads, audiences, and pages, guiding adjustments to maintain or recover the efficiency of lead generation.
To view information about a specific campaign, you can filter the P.P.C.T. Leads Captures Dashboard by the period you wish to view.
It is possible to save the image of the statistics chart for better visualization and data analysis.
- How to use the comparison between clicks, leads, and conversion rate to optimize campaigns?
The comparison between clicks, leads, and conversion rate in the P.P.C.T. Leads Captures Dashboard allows quickly identifying at which stage of the funnel the user advances or abandons the journey. From this analysis, it is possible to direct more assertive corrective actions to optimize campaign results.
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Drop in conversion rate: when there are many clicks and few leads, the conversion rate decreases, indicating that the ad attracts traffic, but the landing page does not convert - in this case, adopt measures such as using the Neural Checkout A/B Test to automatically direct traffic to the higher-converting version, in addition to diversifying payment methods;
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Lead quality analysis: the comparison between total leads and new leads helps identify whether the campaign is generating real database growth or merely impacting existing contacts - in this case, it is important to prioritize sources with a better relationship between conversion rate and CPL, not just a higher volume of clicks; and
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Evaluation by traffic source: by analyzing these metrics by source, it is possible to evaluate audience quality - cheap clicks with low conversion tend to generate high CPL, while sources with better conversion are usually more efficient, even with a higher CPC.
This analysis guides budget allocation to ads, pages, and sources that truly convert better, making lead generation more efficient and scalable.
To learn more, consult the information about the P.P.C.T. of Captures.
Performance by Source
Understand how to identify and analyze the sources of captured leads. You can compare channels, evaluate costs and efficiency by source, and discover which sources generate more leads and new leads, helping to better direct your campaign investments.
- What metrics are displayed in the Sources of the RPPC Leads Capture Dashboard and how to use this data to optimize lead generation campaigns?
In the P.P.C.T. Leads Captures Dashboard, the data of captured leads are displayed according to the traffic origin (advertisers), allowing to analyze the performance of each source in generating clicks and contacts.
The metrics displayed allow identifying which traffic sources are most efficient and profitable, helping to optimize ad investments and prioritize channels that generate leads with the best cost-benefit.
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Field |
What it means |
How to analyze |
How to use to optimize campaigns |
|---|---|---|---|
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Name |
Identifies the tracking origin (channel, platform or campaign) |
Allows segmenting and comparing results between different sources |
Direct the analysis to understand which channels sustain better performance in the lead capture funnel |
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Clicks |
Total clicks registered for the origin in the analyzed period |
Indicates the volume of traffic generated by the source |
Evaluate the origin's scalability and its contribution to the top of the funnel |
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Leads |
Total number of leads captured by the origin |
Shows the volume of conversions generated from clicks |
Compare with clicks to evaluate conversion efficiency |
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New Leads |
Number of unprecedented contacts that entered the database for the first time |
The analysis between leads, new leads and new CPL helps to identify whether the origin is bringing new contacts or just impacting existing leads |
For database expansion, prioritize origins with a higher volume of new leads and lower new CPL |
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Costs |
Total value invested in the origin during the period |
Basis for calculating financial efficiency metrics |
Evaluate if the investment is aligned with the return in leads and new leads |
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CPL (Cost per Lead) |
Average cost to generate each lead (costs ÷ leads) |
Allows comparing cost efficiency between origins |
Compare the CPL between origins to understand which channels generate leads at a lower cost - origins with lower CPL tend to offer better budget utilization and can be prioritized in budget distribution |
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New CPL |
Specific average cost for acquiring new leads |
Evaluates the real cost of database growth |
For sustainable growth, focus on origins with lower New CPL |
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CPC (Cost per Click) |
Average value paid per click (costs ÷ clicks) |
Evaluated in conjunction with leads and conversion rate - allows evaluating whether the generated traffic converts efficiently |
The cost per click should be analyzed in conjunction with conversion - a higher CPC can be more efficient when it generates better utilization, while cheap clicks with low conversion tend to increase CPL |
By cross-referencing data such as clicks, leads, new leads and costs, it is possible to identify which advertisers generate the highest volume of results and at what cost. This analysis facilitates decisions on where to allocate more budget, maintain investments, or reduce less efficient channels, balancing scale, cost, and real growth of the lead base.
Access to understand how to analyze this data and use it to optimize and compare lead generation campaigns.
For better data visualization and analysis, it is possible to export the spreadsheet of lead sources by clicking the CSV button in the upper right corner of the section.
- What is the difference between CPL and New CPL?
The difference between CPL and New CPL lies in the type of lead considered in the calculation.
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The CPL (Cost per Lead) represents the average cost to generate each lead in the selected period - considering all captured leads, including contacts that already existed in the database and interacted again with tracking;
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and the New CPL indicates the average cost to acquire new leads - contacts that entered the database for the first time through that source.
This distinction is important because the new CPL shows the real cost of growth of the contact base, while the general CPL helps to evaluate the efficiency of the campaign by also considering re-engagement actions.
For better data visualization and analysis, it is possible to export the spreadsheet of lead sources by clicking the CSV button in the upper right corner of the section.
- How to interpret the cost displayed by traffic source?
The cost indicator in the Sources section of the P.P.C.T. Captured Leads Dashboard represents the total value invested in traffic campaigns for each source(1) (such as Facebook Ads or Google Ads).
Consider the following points to correctly interpret this indicator, such as:
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Cost data source: automatic import - when ad accounts are integrated with Guru, costs are automatically imported and linked to tracking whenever the ad URL contains a valid P.P.C.T. link - from this match, the system distributes the costs per tracking and automatically calculates metrics such as CPL in the dashboard.
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Use in efficiency analysis: this indicator is the basis for the automatic calculation of strategic metrics displayed in the same table, such as CPL (Cost per Lead) and CPC (Cost per Click).
With this, the cost indicator allows evaluating the financial efficiency of each traffic source and guiding optimization decisions based on reliable data.
(1) The information refers to the reported period.
You can filter the P.P.C.T. Leads Captures Dashboard to access information about a specific period you want to view.
For better data visualization and analysis, you can export the spreadsheet of lead sources by clicking the CSV button in the upper right corner of the section.
Analysis by Tracking
Clarify your doubts about the trackings used in campaigns to facilitate the identification of which configurations bring better results in clicks, leads, new leads, and costs.
- What values are displayed in the Tracking section and how to use them in Guru?
In the Tracking section of the P.P.C.T. Leads Captures Dashboard, you view the individual performance of each tracking link created, allowing for a more specific analysis than the grouped by source view.
The main values displayed are:
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Field |
What it represents and how to use it |
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Name |
Identifies the tracking specifically, making it easier to recognize which link, campaign, or form generated the results |
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Advertiser |
Displays the tracking source (e.g., Facebook Ads, Google Ads), allowing each link to be related to the responsible traffic platform |
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Clicks(1) |
Total clicks registered on the tracking link - indicates the volume of traffic generated |
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Leads |
Total quantity of captured leads from this tracking, including new and existing contacts |
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New Leads |
Volume of contacts that entered the database for the first time through the link - essential for database growth analysis |
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Cost(1) |
Investment value attributed to the tracking in the analyzed period |
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CPC (Cost per Click) |
Average cost paid per click, calculated from the total cost divided by the number of clicks |
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CPL (Cost per Lead) |
Average cost to generate each lead, considering all captured leads |
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New CPL |
Average cost considering only the acquisition of new leads, helping to evaluate the real acquisition efficiency |
(1) The information refers to the informed period.
The metrics displayed in the trackings of the P.P.C.T. Captured Leads Dashboard allow you to monitor the lead's journey, compare efficiency between trackings, and identify the best-performing links for campaign optimization and scaling.
For better data visualization and analysis, you can export the trackings spreadsheet by clicking the CSV button in the upper right corner of the section.
- What is the difference between Sources and Trackings data in P.P.C.T. Captured Leads?
In the P.P.C.T. Captured Leads Dashboard, the sections Sources and Trackings differ in their level of detail and the focus of the analysis on lead origin.
Use the Sources section when you want to:
- Compare performance across traffic platforms (e.g., Facebook Ads, Google Ads, Instagram);
- Evaluate which channels concentrate the highest volume of clicks, leads, and new leads;
- Analyze the overall efficiency of each source across metrics such as CPL, New CPL, and CPC.
In this section, data is grouped by channel or advertiser, as defined in the P.P.C.T. creation, facilitating consolidated reading by platform.
Use the Trackings section when you want to:
- Analyze the individual performance of each P.P.C.T. link;
- Identify which specific campaigns, ads, or variations yield the best results;
- Compare acquisition journeys within the same source;
- Optimize links, capture pages, and campaign variations based on detailed data.
In this section, results are displayed by tracking link, allowing each performance to be associated with its respective advertiser and the strategy used.
For this data to be displayed correctly, it is necessary that the P.P.C.T. links are created and active in the campaigns.
- How is the cost attributed to each tracking?
The cost is attributed to each tracking through the cross-referencing of investment data from ad platforms and the tracking links (P.P.C.T.) configured in the system.
For this, you can connect your advertiser Accounts to Guru, allowing cost import¹ via API. From this integration, the system analyzes the destination URL of the ads and, whenever the URL contains a valid P.P.C.T., the cost of that ad is automatically attributed to the corresponding tracking, allowing the calculation of metrics such as CPL and CPC.
(1) COST attribution does not occur in real time: current day costs are updated, on average, every 2 hours; costs for the last 7 days are consolidated overnight.
Access and learn more about the integration with advertisers in Guru.
For advertisers to be displayed individually, it is necessary that P.P.C.T. links. are created and active. When a sale or lead is not associated with any tracking, the origin is presented as “untracked”.
For the cost to appear correctly in the P.P.C.T. Leads Captures Dashboards, guru needs to be able to identify the P.P.C.T. link directly in the ad URL. When this reading occurs, the cost is attributed to the tracking; otherwise, it remains untracked.
- How can tracking data help optimize ads, creatives, or campaign variations?
The data displayed in the Trackings section of the P.P.C.T. Leads Captures Dashboard allow you to analyze the individual performance of your traffic campaigns, offering a practical view to optimize ads, creatives, and campaign variations.
With this information, it is possible to:
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Identify more efficient ads and creatives
a. By analyzing trackings and campaign variations, you can compare metrics such as leads, new leads, CPL and CPC between different ads and variations, prioritizing those that perform best. -
Evaluate funnel efficiency (clicks x leads)
a. The relationship between clicks and leads helps identify bottlenecks - many clicks with few leads indicate problems on the landing page or misalignment of the ad's promise; few clicks point to opportunities for improvement in the creative or message. -
Control costs and profitability
a. Metrics like CPL and CPC show the real cost of acquisition, allowing you to pause variations above the expected cost and scale those that are more efficient. -
Compare traffic sources
a. Analysis by origin makes it possible to understand which platforms generate the best volume and cost of leads, guiding the redistribution of budget among channels. -
Evaluate audience quality
a. The comparison between leads and new leads indicates whether the campaign is expanding the base or just impacting existing contacts, helping to adjust segmentations and reach strategies.
When filtering the P.P.C.T. Leads Captures Dashboard you access specific tracking information you want to consult.
For better data visualization and analysis, you can export the trackings spreadsheet by clicking the CSV button in the upper right corner of the section.
- Is it possible to compare different ads or variations within the same origin using Tracking metrics?
Yes. It is possible to compare different ads or variations within the same origin in the P.P.C.T. Leads Captures Dashboard.
Each combination of UTMs (such as utm_campaign, utm_source, utm_medium, utm_content or utm_term) automatically generates a specific tracking, allowing the analysis of the performance of creatives, campaigns, or individual variations through metrics such as clicks, leads, new leads, CPL, and CPC, displayed in the Trackings. section.
To compare different ads and variations within the same origin, you must necessarily use UTM parameters in your tracking links.
For better data visualization and analysis, it is possible to export the trackings spreadsheet by clicking the CSV button in the upper right corner of the section.
By filtering the P.P.C.T. Leads Captures Dashboard you access specific tracking information you wish to consult.