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<\/div>\nIn one report, only a scant 9% of digital marketers reported they could accurately forecast the impact of a 10% shift in marketing spend. This means that the vast majority of marketers cannot correctly track what changes to their campaigns really mean or how to make adjustments to capitalize on opportunities or mitigate risks.<\/p>\n
Often, PPC marketers find themselves reacting<\/em> to trends, shifts, and other changes. These reactions occur after the fact when the damage has already been caused, or the value from a potential opportunity has begun to diminish.<\/p>\n Instead, marketers need to strive to be proactive <\/em>in their management approach by making strategic changes at the time of a shift, or even before it occurs.<\/p>\n More and more marketers, across all industries and verticals, are beginning to implement smart tools<\/a> to achieve a proactive management approach. These tools are designed to enhance campaign monitoring and provide better measuring of which channels and tactics lead to the greatest success.<\/p>\n The PPCexpo lineup of PPC management tools aims to help marketers better optimize their campaigns by staying on top of changes and doing so in a manner that saves time and effort. PPC Signal is one of the best PPC management tools in the PPCexpo lineup when it comes to making sense of the perplexing changes<\/a> that are constantly occurring in your campaigns.<\/p>\n This post is a how-to guide on using the PPC Signal tool<\/a>. It is helpful both for existing users and frustrated marketers that are looking for a new PPC management solution. Throughout this guide, you\u2019ll see step-by-step how PPC Signal can help you grow your campaigns on an exponential level<\/a>.<\/p>\n You can access PPC Signal from here.<\/a><\/p>\n Through powerful machine learning algorithms, PPC Signal<\/a> is able to monitor your campaigns and detect data signals that indicate a noteworthy change. AI technology is much faster and more efficient at detecting changes than manual methods.<\/p>\n Detecting change is a crucial piece of the PPC campaign management puzzle. You need to know how performance is progressing and whether there are any significant issues that need to be resolved or opportunities that can be seized.<\/p>\n When you aren\u2019t paying attention to the changing landscape, you\u2019re essentially flying blind.<\/p>\n The PPC Signal system analyzes the outcome of every change based on your historical campaign data. It labels each signal as either a risk or an opportunity.<\/p>\n Timing is critical when it comes to detecting changes. You want to catch a change as early as possible and give yourself ample time to react and strategize. Plus, the sooner you act, the greater the impact. If it is an opportunity, quick action will maximize the gain. When a risk occurs, acting fast will minimize the potential damage.<\/p>\n By automating the monitoring and detection of these changes, PPC Signal allows marketers to focus all of their time and attention on implementing positive adjustments to their campaigns, even on a daily basis. When these changes can be continuously stacked, campaign ROI grows exponentially.<\/p>\n One of the design goals for PPCexpo and its tools, including PPC Signal, was to make it as intuitive and user-friendly as possible. Therefore, it is exceptionally easy to analyze the alerts provided by PPC Signal.<\/p>\n You actually have 4 ways you can examine signals:<\/p>\n Patterns tend to repeat themselves. Often, when analyzing a metric, you will find that the data reflects a similar pattern from the past. It can be very beneficial to compare your current metric to its behavior reported in the past.<\/p>\n The advantage of comparing current and past data<\/a> is it gives you an idea of how much the data has varied, based on previous performance. This allows you to have better confidence in any conclusions or decisions regarding statistical significance.<\/p>\n While this shouldn\u2019t replace more detailed calculations, you can typically see the significance of large changes over time.<\/p>\n Whenever you visit the doctor’s office, the practitioner first looks at your height, weight, blood pressure, vital signs, etc. Even if these steps have seemingly nothing to do with your reason for being at the doctor\u2019s office, they are essential parts of the process. The same occurs when in the validation stage of data analysis<\/a>.<\/p>\n You enter with a question, such as \u201cAre users enjoying my awesome new landing page?\u201d To answer this question, you need to check a number of smaller parts. Are there more users arriving at this landing page than previous ones? Have conversion rates increased? What sort of errors are occurring that are leading to bounces? Which audience targets are responding most positively to this page?<\/p>\n The PPC Signal system makes it effortless to monitor and check in on your campaign\u2019s vital signs. Catching large, problematic obstacles or troublesome patterns will no longer be such a painstaking process.<\/p>\n Outliers present an interesting dilemma for PPC marketers. Many marketers will set them aside as \u201cunusual\u201d or \u201canomalies.\u201d However, they can be canaries in a coal mine that suggest more fundamental problems. It\u2019s okay to categorize them as unusual, as long as you don\u2019t forget to investigate why this data landed in the category in the first place.<\/p>\n For instance, if you notice a query with a far lower clickthrough rate (CTR)<\/a> than the rest, it may reveal a problem where clicks on certain elements are not registering or being counter properly. Alternatively, you may discover an exceptionally high CTR that is occurring because clicks are being counted twice.<\/p>\n With PPC Signal, your outliers immediately rise to the surface. You can quickly and efficiently decide which anomalies require additional attention.<\/p>\n Are you interested in getting started with PPC Signal? Now that you know some of the advantages of analyzing data with PPC Signal, here are step-by-step instructions on accessing the free demo for this tool.<\/p>\n PPC Signal is a tool offered by PPCexpo. You can visit the homepage at PPCexpo.com, then hover your cursor over \u201cTools\u201d on the top of the page and select \u201cPPC Signal\u201d from the dropdown menu.<\/p>\n Alternatively, you can visit the PPC Signal page directly by clicking this link. You\u2019ll be brought to the PPC Signal tool<\/a> overview. Your screen should look as follows:<\/p>\n To begin exploring PPC Signal firsthand, click on the blue \u201cDemo\u201d button on the screen.<\/p>\n The demo button will bring you to the PPC Signal demonstration<\/a> environment. Right away, you\u2019ll receive some tips and insights into how the tool works. It\u2019s a good idea to read through these six tips, as they will give you some helpful background knowledge.<\/p>\n Once you\u2019ve cycled through these tips, your screen should look something as follows:<\/p>\n Accounts: <\/strong>Under the \u201cAccounts\u201d heading, you\u2019ll see two options. \u201cRegister for beta\u201d and \u201cDemo.\u201d This shows that you are currently using the demo version. We will revisit registering for the beta version of PPC Signal at the end of this guide on PPC Signal.<\/p>\n Modules: <\/strong>The \u201cModules\u201d dropdown has three options: Audit, Recommendations and Observations. Currently, Audit and Recommendations are not available in the beta version.<\/p>\n The observations\/signal tab shows the total number of observations, or signals, that PPC Signal has found in the targeted campaign, ad group, keyword, etc.<\/p>\n In the inner left navigation bar, you have different options for applying filters or checking analysis frequency. This really permits you to customize your signal results to fit with your unique needs.<\/p>\n Applied Filters: <\/strong>Under this heading, you\u2019ll find which filters you\u2019ve applied to your analysis. The default option is to filter results by \u201cSignal Quality.\u201d At any time, you can click to \u201cclear all\u201d filters you currently have applied.<\/p>\n You can also clear filters one at a time by hovering over the unwanted filter and clicking the close button, as displayed below.<\/p>\n Analysis Frequency: <\/strong>This section allows you to set how often you want PPC Signal to analyze campaigns, ad groups or keywords. You can choose to analyze data daily in the demo version. The paid version let\u2019s you get even more detailed with your data by analyzing hourly.<\/p>\n Filters: <\/strong>There are many different filters that can be used to change how you analyze your PPC data. Let\u2019s take a look at each filter individually to get a full picture of how you can customize your signal results and zero in on the insights that are most relevant to you and your marketing objectives.<\/p>\n Moving to the top navigation menu, you\u2019ll find the PPC Signal logo in the top left corner. You can also see the total number of observations that PPC Signal has found based on your applied filters. In the opposite corner, you\u2019ll find the settings icon.<\/p>\n When you enter the settings menu by clicking on this icon, you\u2019ll see this screen:<\/p>\n Here, you find two settings tabs \u2013General Settings and Metrics.<\/p>\n General Settings: <\/strong>Under the General Settings tab, you can choose to archive signals after a set number of days. By default, this option is set to 30 days.<\/p>\n You can also choose to hide the signal header on the details page. The default option is for this header to be shown. You can check the box if you\u2019d like it to be hidden.<\/p>\n Finally, you can choose to hide the user guide and tips upon load. Once you\u2019re familiar with the PPC Signal system, these tips won\u2019t be helpful anymore and you can select to hide the tips.<\/p>\n Metrics: <\/strong>In the metrics tab, you\u2019ll find all of the metrics that PPC Signal tracks. You\u2019ll recognize these lists and how they are categorized by funnel position<\/a> from the filters discussed in the previous section.<\/p>\n The metrics settings are designed to allow you to exclude metrics that are not relevant to your campaigns or marketing objectives and reposition metrics by funnel position.<\/p>\n The engineers behind PPC Signal understand that not everyone\u2019s marketing funnel is shaped the same way. Similarly, not all metrics are important to every advertiser. Thus, this setting was created to give marketers the opportunity to shape their funnel metrics on how they\u2019d like.<\/p>\n There are three phases to the marketing funnel that PPC Signal recognizes:<\/p>\n This is how the typical funnel works. Again, the \u201cMetrics\u201d settings tab allows you to rearrange these items and align the PPC Signal\u2019s analysis with your own marketing funnel design.<\/p>\n In the PPC Signal demo, there are 78 total observations that the tool has returned for the sample data. Signals can be further broken down into simple or complex signals and positive or negative signals.<\/p>\n Note: Don\u2019t have 78 total observations in your demo? Try removing the default applied filter of only displaying the best <\/em>quality signals!<\/p>\n With a simple signal, you\u2019re looking at one metric under the lens of a single dimension. Typically, this means comparing the current status of a metric with a previous time period of the same metric. In this example, time <\/em>is the dimension. You can also look at which device types are performing best, which location provides the best returns, etc.<\/p>\n Complex signals are, well, complex. This means that they consist of many different dimensions. You may look at which time of the day a certain device type performs best in a given location for a specific metric. Complex signals create complex opportunities<\/a> that will have a definite effect on your campaign performance, but they can be a nightmare to unpack through traditional means.<\/p>\n For instance, imagine that you have a campaign with 10 ad groups. Each ad group has 10 keywords. You\u2019re targeting 4 device types, 7 days of the week, with 24 hours out of the day. With all of these dimensions, the number of unique combinations is staggering. It\u2019s too much to handle with manual reporting. We\u2019re talking about several thousand rows of data.<\/p>\n PPC Signal makes it more comfortable and efficient to detect and unpack complex signals.<\/p>\n Another way to classify signals is by good and bad, or positive and negative. Good aligned signals are the aforementioned opportunities that can have a progressive, positive effect. In PPC Signal, positive observations are highlighted by green text in the description.<\/p>\n You can also see how PPC Signal labels the signal type in the info pane.<\/p>\n An example of an opportunity could be a device type<\/a> that is suddenly experiencing a lower cost-per-acquisition (CPA) value than normal. History has taught you that this device type is positive and profitable for your campaign and your business. Thus, increasing spend will help you take advantage of lower costs and maximize your ROI.<\/p>\n You can also look at opportunity signals as growth that has yet to be captured. Let\u2019s say your campaign has 100 total eligible impressions, but only actually received 20 of those impressions. This means that there is a significant opportunity for growth left.<\/p>\n On the other side of the spectrum are negative signals. These are the bad parts of your PPC accounts that represent potential risks. These are signals that are hurting your progress and need to be resolved to limit any further damage. Negative signals are highlighted by red text in the description.<\/p>\n PPC Signal labels negative signals as \u201cRisk\u201d under the signal type.<\/p>\n Building off the same example as before, let\u2019s say that instead of your CPA lowering, it spikes upwards. This means that you\u2019re paying more than usual on this particular device type. In turn, this lowers your ROI<\/a>. It may even be producing a negative ROI or draining your budget at a rapid pace. You need to stop this from continuing to harm your performance by pausing that campaign temporarily or adjusting it to negate this risk.<\/p>\n Now that you\u2019ve learned at length about the different types of signals and how they can impact your campaign performance, it\u2019s time to explore where and how you can view these observations or signals in the tool\u2019s interface.<\/p>\n From the main PPC Signal screen, you can find all of your signals. Each tab at the top allows you to choose which level you\u2019d like to view these observations from Campaign, Ad Group, Keyword, Device, Geo or Hour of Day.<\/p>\n Once you\u2019ve selected the desired level to view signals, you\u2019ll see a list of all observations at this level. Then, you can click on one to learn more.<\/p>\n For every observation, you can choose to \u201cExplore\u201d or \u201cBookmark\u201d the signal.<\/p>\n The \u201cExplore\u201d option expands the signal visualization.<\/p>\n This will allow you to get a more detailed, closer look at what\u2019s going on and how this signal is affecting your PPC performance.<\/p>\n This is an excellent feature because data across a very brief period can be misleading. You need to look at the data over a longer period of time to really get a complete understanding of the performance or process, especially when seeing how various parts of your PPC accounts attribute to completing key marketing goals and objectives.<\/p>\n In the sample, there is an apparent spike or fluctuation that seems to break the \u201cnormal\u201d pattern of things. Spikes are always noteworthy and raise a lot of questions. By proactively answering these questions through notes, you have a more detailed understanding of cause and effect throughout time.<\/p>\n In the \u201cExplore\u201d interface, you can also directly change the metrics being seen, as shown in the following image.<\/p>\n As you add more data to the chart, the more complicated it becomes, which makes it harder to infer those valuable insights. PPC Signal gives you the option to switch from the visualization chart to a tabular view.<\/p>\n You can then export the table as an \u201cExcel\u201d or \u201cCSV\u201d file.<\/p>\n Once you choose a file format, the data table will be downloaded and can be used in other environments and programs that support these files.<\/p>\n While this feature is blocked in the demo version, the live version of PPC Signal allows marketers to bookmark signals to revisit later. Otherwise, it could be challenging to find the exact observation again. Bookmarked observations appear in their own category so you can get right back to analyzing the findings.<\/p>\n Bookmarking a signal is simple; just press the button shown below.<\/p>\n Once you successfully bookmark the signal , later you will be able to find your bookmarked signal on top of the screen. Just click on “Bookmarked” then you will be able to see all those signals which you marked them.<\/p>\n When you find a signal that requires action, such as a campaign component that is vastly underperforming, then you need to know how to use PPC Signal to remedy this problem. This is one of the primary purposes of using this PPC management tool: to take action on potential risks that threaten to disrupt your campaign success or seize a valuable opportunity!<\/p>\n From the \u201cExplore\u201d screen, you can click the \u201cTake Action\u201d button to see what options you have regarding the observation.<\/p>\n Once you click the action button, you\u2019ll see some options on how you can proceed with handling the given signal.<\/p>\n Each option pertains to a different level or campaign feature. And, within each option, there are several avenues you can take. For instance, if you selected the \u201cCampaign action,\u201d you\u2019ll be able to change the status from \u201cActive\u201d to \u201cPaused\u201d or even \u201cRemove.\u201d<\/p>\n There are instances where a campaign is suffering so much that the best action may be to pause it until you can get to the source of the problem.<\/p>\n Happy with the PPC Signal demo<\/a> and ready for the beta version? The demo version has some limitations that are lifted in this fuller version. To register for the PPC Signal beta and access the tool, refer to the left-most menu bar and click \u201cRegister for beta\u201d under Accounts.<\/p>\n This will create a dropdown menu asking you to enter the Google account associated with your Google Ads campaign.<\/p>\n Once you\u2019ve entered your Google email, press the \u201cRegister\u201d button.<\/p>\n After you click \u201cRegister,\u201d you\u2019ll receive an email to your Gmail account that will have a 4-digit verification code. Enter this code into the box on the screen and then click confirm.<\/p>\n Once your email is validated, you\u2019ll be able to enjoy the full functionality of PPC Signal.<\/p>\n In this section, we\u2019ll take a look at the pricing plans available to PPC Signal users.<\/p>\n The first thing to note is that PPC Signal\u2019s pricing structure is based on the size of the user\u2019s PPC account and monthly ad spend. For example, if you have a single PPC account spending $5,000 a month (or less) on Google Ads, then PPC Signal costs a total price of $10.<\/p>\n Here is a complete breakdown of the pricing structure of PPC Signal. You can use this table to help decide for yourself how much the tool will cost for your business. There are also custom plans available by contacting the PPC Signal team directly.<\/p>\n There are not many tools on the market that present the complex changes occurring in a PPC account in such a simple manner. That\u2019s exactly what you get from PPC Signal. It is a simple, powerful solution that turns complexity into an advantage! Your competitors won\u2019t have nearly the same level of efficiency when it comes to identifying noteworthy changes and taking an appropriate course of action.<\/p>\n The real power of PPC Signal is when you can stack these small changes on a consistent basis. When you can continuously make course corrections to your campaigns (avoiding risks, steering towards opportunities), growth begins to build exponentially. All it takes are just a few daily changes<\/a>!<\/p>\n","protected":false},"excerpt":{"rendered":" Do you think you are aware of all the areas of your PPC performance? You might be missing opportunities and risks hidden somewhere in the analysis. Let’s explore!<\/p>\n <\/a><\/p>","protected":false},"author":1,"featured_media":10810,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[785],"tags":[276],"_links":{"self":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/10809"}],"collection":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/comments?post=10809"}],"version-history":[{"count":0,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/10809\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media\/10810"}],"wp:attachment":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media?parent=10809"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/categories?post=10809"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/tags?post=10809"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"Tips\"](\"https:\/\/www.ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-tip-1.jpg\")
<\/div>\nWhat Is PPC Signal?<\/h2>\n
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How To Analyze Signals In PPC Signal?<\/h2>\n
i- Check For Consistency And Inconsistency Over A Period Of Time<\/h3>\n
ii- Check Vital Signs And Identify Patterns<\/h3>\n
iii- Pointing Out The Outliers<\/h3>\n
Getting Started With PPC Signal Demo<\/h2>\n
Where To Find PPC Signal<\/h3>\n
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<\/div>\nUnderstanding The PPC Signal Interface<\/h3>\n
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Investigating Signals In PPC Signal<\/h2>\n
Simple Signals<\/h3>\n
Complex Signals<\/h3>\n
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<\/div>\nPositive Signals (Opportunities)<\/h3>\n
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<\/div>\nNegative Signals (Risks)<\/h3>\n
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<\/div>\nAccessing Signals<\/h3>\n
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<\/div>\nExploring Signals<\/h3>\n
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<\/div>\nBookmarking Signals<\/h3>\n
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<\/div>\nTaking Action On Signals<\/h2>\n
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<\/div>\nRegistering For PPC Signal Beta<\/h2>\n
![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-46.jpg\")
<\/div>\n![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-47.jpg\")
<\/div>\n![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-48.jpg\")
<\/div>\n![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-49.jpg\")
<\/div>\n![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-50.jpg\")
<\/div>\n![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-51.jpg\")
<\/div>\nPricing Plans For PPC Signal<\/h2>\n
![\"optimize](\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2020\/10\/guide-on-ppc-signal-52.jpg\")
<\/div>\nWrap Up<\/h2>\n