Product Documents

Personal thanks to Stephane Hamel​ for providing this document. If you have an feedback, .. if you find it useful, if it helps you, if you see any errors or things that could be improved - let me know! Please let Stephane Hamel​ know.

Email performance analytics sits at the heart of every digital marketer, you want to be aware of how the performance has been and need the ability to report on the same using various dimensions relative to your marketing. More often than not, all marketing automation systems have a performance issue when it comes to providing analytics quickly with the parameters that you would like. Marketo has also been lacking in this area for quite some time since RCA is sold as a separate product and that also had performance issue till last year or so, when the UI was changed but still performance is not up to the mark and Marketo analytics is not that powerful a feature to suffice the digital needs of today. As a resolution to the same, Marketo has introduced Email insights to provide lightning quick reporting on Email performance with a plethora of dimensions/parameters to filter your report. It works real fast and allows you to report on performance which not only includes batch campaigns but can also include trigger campaigns and operation emails (You can choose to exclude them as well). There are options of choosing performance relative to one/multiple workspaces, you can add parameters such as segmentations, channels and program tags and include them as dimensions and report on them. There’s an option to filter the report on Audience (country and state parameters), Content (email, program, smart campaigns, theme) and Platform (Device OS and Device type). You can generate charts to assess the performance during selected period based on Time (Day, Week and Month) and filter on various parameters. On the right hand side you can also select metrics such as opens, clicks and unsubscribes to check on the performance by parameters of audience, content and platform. You also have the ability to save these reports as quick charts for periodic performance review, you can save up to 20 quick charts. Although it’s a fresh new option for analytics there’s a lot of scope for improvement, for example. The ability to export data/reports/charts is not available so if you want to share the data with anyone outside Marketo you can’t, which is a huge disappointment. There’s no option to report on custom parameters such as conversions, program successes etc.  There are only 10 custom dimensions that can be added which makes the set up limited. The ability to report on custom lead filters using smart lists as available in Email performance reports is not there. There’s no email link performance analysis. Overall a fresh new interface and a much needed option for Email performance reporting but still has a lot of scope for improvement. Here’s the Summary: Pros: Lightning quick reporting capabilities. Dimensions and work-space options for reporting. New filter options such as Audience, Content and Device. Ability to create quick charts. Cons: Inability to export reports Only 10 custom dimensions No custom lead filters and custom parameters No Email link performance analysis Here’s an example of how to use Email insights for your reporting purposes, it includes the steps you need to follow to leverage the various capabilities available for reporting. Log into Marketo and click on the tab on the top left hand side to go to Email Insights: This is how Email Insights home screen looks like: It provides you a lot of options of choosing to report on, you can select the Workspaces on which you want to see the performance: In this example, I want to check the performance in Europe, so I’ll choose Europe as the work-space. You can select the dates for which you want to check the email performance: There’s an option of comparing periods as well. You can click on sends on the top left corner to check the various email sends during the period and choose from it the one that you are interested in: If the desired email communication doesn’t show up here, then it could be because it is an operational email, the general settings of Email insights excludes the operational and trigger campaigns, you can change the same in the personal settings: There are a lot of parameters on which Email insights allows you to filter, one of them is Audience. You can filter the audience from country/state and check the email performance for them, for example: If you want to report on email performance during the last month in California etc. You can also filter on specific content, which can be either email sends: Select the email send you want to check the performance. You can also filter on Smart campaigns and the same would reflect in the report: Similarly program filters are also available: A new and fresh addition would be the ability to report device and OS performance, although this option is available as a constraint in Marketo Analytics, this is much better and faster, as it provides you comparative performance views on devices, which is nor the case with Analytics: You can select the Operating systems as a filter as well: There are filters available on your left and right side and you can select either to modify the report/chart: Here’s an example of filtering using parameters on the left side: On your right hand side you have options of choosing filters as well, by default all filter options will show: You can click on Audience, content and device to filter on and analyze the performance further: You have an option of viewing the performance by time as well in the selected time frame, you can select from day, week and month and the report will be modified accordingly: You can also add custom dimensions to these reports which can be used as a filter. To do so, click on the settings option: You can go to System settings to add dimensions, you can add segmentation, channels as dimensions and report the performance on them. Program tags can also be added as a dimension, a maximum of 10 dimensions are allowed with Email insights: Once you are done creating your report/chart based on all the filters and parameters, you can save it as a quick chart for periodic performance review: Name the chart and save it: You can it on the quick charts option on the right hand side, a maximum of 20 charts can be saved: Hope this was informative and helps you in leveraging Email insights for your organization. Your feedback matters a lot to me so if you have any suggestions/comments/queries relative to this, please comment below.

I wanted to share a step-by-step on our solution to track multiple landing pages with a Person Attribute Field while using one generic form, without relying on URL UTM parameter. I hope this will be helpful to anyone looking for a solution. This solution was pieced together through some research from different sources and some trial and error. Feel free to share your thoughts or comments on it! Let's begin. [Problem] We have multiple landing pages linked to different campaigns and different assets to download. We wanted to use one generic form for all of those landing pages, and capture a Person Attribute Field to track the campaign, we didn't want long UTM parameters following our URLs or multiple forms so we built it into the page instead. [Solution] Populate a Hidden Field on your form through HTML code embedded into your Landing Page to capture campaign information. An alternate solution which doesn't use Person Attribute fields –  you can also use the "Add Constraint" option on the Fills Out Form trigger to select any form and the web pages you want to capture for the campaign, as shown below. If that's all you need, this simple solution would suffice. Step 1: Setting your Generic Form Field In your generic form, add a new Field and select the Person Attribute you're going to use to track the landing page. For our form, I used the "utm_campaign" Person Attribute because we're already tracking through that field. You can choose to use any Person Attribute that is appropriate for your Marketo instance to track campaigns. The Label doesn't matter, set Field Type to "Hidden", and set Form Pre-fill to "Disabled". Edit the Autofill, set Default Value as "utm tracking missing" (or anything similar of your choice, we'll get into why later) and Get Value from as "Use Default Value". If you don't set a default value Marketo defaults to "null" which will block changes to that field for this form. Once you're happy with your other fields, save your form. Step 2: Populating the Hidden Tracking Field through your Guided Landing Page HTML In your Design Studio, find the Landing Page Template you're using for your Landing Pages, and edit it. Note this step is only for Marketo Guided Landing Pages*. In your head section, place the following Marketo String with your meta tags (more information on Marketo Strings here). This will allow you to easily adjust the landing page campaign later as you create more pages. Find where your Marketo form div is located, and insert the script code following the mktoForm div as shown below. This script will change your hidden "utm_campaign" field to the value indicated on your landing page. "utmcampaign"** is your Person Attribute Field name, and ${hiddencampaign} points to the Marketo String you set up. Save your Landing Page Template and you are done with this step. *Note: You can also do this step with embedded forms on non-Marketo pages using the code for setting Hidden Fields on this page. Note that you'll skip setting the Marketo String Syntax and input your desired Person Attribute value directly into the script as Marketo Syntaxes cannot be used on non-Marketo pages. **Note: You'll notice that the HTML form.vals "utmcampaign" is different from the displayed Person Attribute "utm_campaign" in your form editor and Marketo record. Sometimes the actual SOAP API value used by the backend is different from the Friendly Display value in Marketo, I will include steps on how to check the SOAP API value in the appendix at the end of this tutorial. Step 3: Create your Landing Page Once your HTML is set in your Landing Page Template, create or edit your Landing Page using that template. Set your generic form from earlier, and in your right-hand elements bar you should see a section for Variables, where you'll see the "Hidden Campaign Field" you created using the mktoString meta tag. Type in the campaign name you want to track with there. I chose "Example Campaign" for the purpose of this tutorial. Once you're happy with the rest of your landing page go ahead and save it. Your landing page form will now populate the "utm_campaign" Person Attribute for the Person with "Example Campaign" once the form is submitted. Step 4: Set your Trigger Capture Campaign Now that all the client facing elements are ready, you can create your Trigger Smart Campaign to capture and update the Person record. In your Marketo Program, create a new Smart Campaign. I've named mine "Campaign Capture" for my own organization, but you can name it whatever you want. Description is up to you, or just leave it blank. Once it's created, go to the Campaign's Smart List and add the Trigger Filter "Fills Out Form", and indicate one or more forms that feed into this campaign. Now add a Filter for "utm_campaign" and set the value to the "Hidden Campaign Field" you indicated on your landing page, in this case "Example Campaign". Insert any other Filters you want to exclude or include People that come through the program, and make sure to adjust your Smart List Rule Logic accordingly. Once you're happy with it, move onto the Flow step and set your form fill success actions. For this tutorial, we've opted to "Change Program Status" to Responded and "Send Email" confirming form success. Now "Activate" your Trigger Smart Campaign and you're ready to go! Step 5: Error Reporting No process is without errors, so now we'll set up a simple error reporting Trigger Smart Campaign to notify you when your campaign capture process fails at the form step. You'll recall that in the form, we set the Default Value for our "utm_campaign" as "utm tracking missing". This is so that in the event the HTML code in your Landing Page fails to populate the field with a value, the form sets this as the "utm_campaign" Person Attribute. To catch this error and notify myself, I set up a new Default Program with our "Operational" channel settings and named it "Tracking Error Notification". Inside it I created Smart Campaign and and an Alert Email (information on creating Alert Emails using the specific Alert Token). In the Smart Campaign Smart List, insert a Trigger Filter for "Data Value Changes", Add Constraint "New Value" set it as the default error value, in this case "utm tracking missing" Now all that's left is to create a Flow Step to "Send Alert" (information on how here). Now you'll receive an email alert anytime the utm_campaign field fails to populate through the Landing Page form. *EDIT: A commenter recommended that the error message be cleared so that multiple exceptions can be flagged, which would be a great step. To do so, add a "Change Data Value" flow step for the Person Attribute, in this case "utm_campaign" and set the new value to "NULL", which will clear the "utm_campaign" field after the alert is sent. You're done! Now for all future Landing Pages with this generic Form, just remember to populate the "Hidden Campaign Field". I hope you've found this tutorial helpful. Cheers, Lawrence Mien Marketing Operations TigerText The Very Short Appendix So you've set your hidden Person Attribute field and indicated it in your HTML code, but the Person Attribute is still not populating correctly through the form. The issue may be that the Friendly Display Person Attribute field name is different from the SOAP API Person Attribute field for HTML. If you don't have Marketo Admin access, or don't feel like exporting the full field list, here's how you can check it: Publish or preview your Landing Page and go to it in your browser. Right-click at the bottom of the form (on Chrome) and hit Inspect. This will pull up the righthand side development panel to show you the HTML. Find the where the Marketo Form HTML is located and expand the mktoFormRow where the hidden field is. In the highlighted section below, you'll see that the SOAP API name of the Person Attribute is "utmcampaign" and not "utm_campaign". Simply drop this correct SOAP API Person Attribute name into your code back in Step 2.

Hi Community, I recently worked on a template to prove my social media ROI to my boss ! And I want to share it with you here because I need some feedback on this job For french readers here is the complete article which explains the purpose, and the template : [Template] Le ROI social media enfin démontré à ton boss | LinkedIn (I will translate it soon) If you need more information, you can ask me at : marineboussat@gmail.com Or add me on Linkedin : https://www.linkedin.com/in/marineboussat/ Thanks !

A good doc to keep near your desk or on your desktop.

ABM campaigns are about making one-on-one human connections despite the impersonal barriers of big business. If you want to cut through the noise, reach your champion and sway a whole organization you need to act outside of the inbox. Direct mail works and we’ll show you how it integrates with digital channels to make your ABM campaign connect. This guide shares best practices on why and how marketers should incorporate direct mail into their ABM strategies. It includes example campaigns and tips on when to send mail, how to personalize it and how to measure its effectiveness as part of a multi-channel ABM program.

Note: This survey was created by our LaunchPoint partner, Annuitas. From April 8 to June 15, 2014 ANNUITAS conducted a study to analyze current Enterprise-level B2B Demand Generation Strategies and discover key patterns, including where B2B marketers produce the best results and where they continue to struggle. This survey was unique in that it focused exclusively on the B2B Enterprise (organizations with revenues that exceeded $250M in annual revenue). More than 100 B2B enterprise marketers responded to the study.

By: Johnathan Dane Posted: January 18, 2016 | Digital Marketing Have you ever been so good at something that that everyone looked at you jealously while binging on Ben & Jerry’s? In this blog, I’ll share some effective AdWords Display tricks with you that not many people know about. These are the tricks that you can implement today. But before we get into how you can create your own AdWords Display Network plan, you need to understand the key difference between AdWords Search and AdWords Display. AdWords Search Network: You’re limited to bidding on keywords with a finite amount of ad spots. This means that your competition can make your ad clicks pretty expensive, pretty fast. AdWords Display Network: You have almost limitless ad space across various websites, along with the ability to advertise both image and text ads in different sizes. Now, we’re ready to jump in. These are the five AdWords Display hacks you won’t find outlined in user manuals: 1. The Competitor Email Subscriber Hack aka Gmail Sponsored Promotions Your competitor’s hard work can actually pay off for your company. In fact, you can advertise directly to their prospects when they open your competitor’s emails. With Gmail Sponsored Promotions (GSP), you can target competitor domains as keywords. By doing this, Gmail will look for emails from competitors you target, and if the email recipient is in their Gmail account, your ad will show up. Some people think that because GSP is an AdWords Display channel, the intent behind the GSP visitors would be the same as regular Display visitors—low time on site and high bounce rates—since people aren’t actively looking for what you’re offering, like on the Search Network. On the contrary, not only do the GSP visitors hang around longer than many Search visitors, but you’ll find that some stick around for 2-4x the average time on your site. Check out the average time on site from a GSP campaign within Google Analytics: GSP conversions can actually be the cheapest of all AdWords campaigns. Just take a look at the example below at the cost per converted click for GSP vs. other campaigns. So what makes GSP ads so powerful? You’re paying an AdWords Display style cost-per-click that has almost as high of an intent as an expensive Search click. Since your ad recipients are interested in what your competitors have to say, they’ll most likely be interested in you too. You’re stealing away market share from your competitors, one conversion at a time, since your competitors are hoping that their email leads to a conversion for themselves. You’re going to find that it works tremendously well for high-ticket industries that have longer sales cycles, but also great for small-ticket items too. This is because some high ticket industries pay over $50-$100 per click on the Search Network, but only $0.20 with GSP ads. 2. Supersize It, Please: Use Display Layers To Improve Your Display Targeting This next AdWords Display hack is as much a money maker as it is a mouth drooler. Consider for a second that all of your AdWords Display targeting options are one big, fat, juicy burger (if you’re vegan, please substitute for a veggie patty).Each layer of this ‘display burger’ is a different targeting option, and the more layers you add, the more specific your targeting burger gets. . Placements: Actual URLs you want to target. You can use a tool like WhatRunsWhere.com to see where your current competitors are having their Display ads show and target those directly as well.Contextual: This is just a fancy word for keyword targeting. Give Google the keywords, and it will find “relevant” placements for your ads (heavy air quotes on the relevant part).Interests: This is people-based targeting and is considered a stronger way to understand your audience’ browsing behaviors across different sites.There are two types of interest layers you can target: Affinity Audiences: People who have long-term interests, like gardening. In-Market Audiences: People whose browsing behavior shows that they’re ready to buy. Topics: This is a group of websites that relate to a similar topic.Demographics: This is where you get target age, gender, and parental status.Geo/Languages: This includes geographic targeting (country, state, city, radius, etc.) and the language of your targeted audience.You may find that the more layers you add to your burger, the lower the volume, but the better your performance is. Your layers will have different results, and sometimes, simply targeting a direct placement will yield the best results. 3. The Automatic Money Making Robot In the world of AdWords programmatic advertising, the Display Campaign Optimizer is one of my favorite tools when it comes to making money (and impressing people on the dance floor). Display Campaign Optimizer (DCO) takes the targeting criteria from your regular layer targeting (remember the burger earlier?) and uses that info to find new nooks and crannies based off your goal cost per acquisition (CPA) bid that you set.Let’s say you that you want conversions at $5. DCO would then go out and find placements and mobile apps that help you hit that goal. Some placements and mobile apps might be more expensive than others, and if that continues, the DCO would automatically exclude those placements and mobile apps and go after others.A few other things to consider when it comes to Do’s and Don’ts of DCO: Do gradually rotate in new creatives. Do change your CPA bid in small increments. Do use target CPA to control traffic volumes. Do create new ad groups for thematically different ad creatives. Don’t make full ad swaps. Don’t change the target CPA constantly. Don’t remove high performing placements. Don’t test a ton of radically different landing pages. The reason why you want to be careful with big changes is because the DCO uses your ad and landing page info, along with historical performance, to improve its baseline of performance. If you shake things up too often, then it won’t be able continually improve or backtrack to what worked before.Once you find automatic placements and apps that work for you, you can extract them into new campaigns and bid on those to get more volume. But there’s a catch. DCO operates off of browsing behavior signals where it can see the path a visitor has taken prior to the placement where they see your ad. This means that if you extract a specific placement and bid on it, then the performance might not be the same as it was in the DCO campaign. While there’s not much you can do about that, you can still use layer targeting on top of that specific placement to try to replicate the results. 4. The Smallest, But Most Powerful: Mobile App Ads Mobile apps are a huge deal these days. Just take a look at Snapchat and Uber. And then there’s things like the iPhone Blower, which isn’t worth much, but is full  of advertising potential. This is because most of the free apps have high usage rates. With high usage rates come high ad-click rates, and with high ad-click rates, come high conversion volume. And there are literally millions of apps out there that are part of the Google AdWords universe where you can buy ad placements directly in a specific app.You can use your own targeted demographics to find a pool of apps to target or if you use DCO to your advantage (which I hope you do), then targeting mobile apps by themselves will be insanely easy because the robot finds the apps that perform the best for you. Not to mention that it feels like Christmas every time you see the new mobile apps the DCO robot has found in theAutomatic Placements report!Here’s where your Automatic Placements report is located inside AdWord s: Once you find mobile apps that are performing well, you then want to find their unique package names so you can target them individually.Both iTunes and Google naming conventions.iTunes apps have numeric package names that can be found in their iTunes URLs  Play apps have different package : Google Play apps have alphabetic package names that can be found in their Google Play URLs: So now that you know where inside the AdWords Display world to go fish, let’s make sure you have the best bait possible to not just get the clicks, but the conversions too. 5. Your Army of Mini Conversion Baits If you know the big difference between the AdWords Display and Search Networks, then you know that your visitors are in different stages of the buying cycle.Display visitors might not even know they need your solution until you generate their awareness first, whereas Search visitors could be looking for exactly what you have to offer and buy something today. So how do you get your Display visitors to get their foot in your door?It’s relatively simple. All you have to do is test your bait. If a Display visitor sees your ad, but they’re not ready for a free consultation (or whatever other call-to-action you use on the Search Network), then you need to give them something that’s a different—a low threat offer.These mini baits/offers could be a lot of different things, and you’ve likely seen them before. Here are a few examples, all of which you can mix and match: Coupon Checklist/Cheasheet Quiz Video/Video Course Tools Calendar Podcast/Interview Consultation Tickets Live Demo Email Course Swipe File Infographic/Gifographic Free Quote White Paper eBook Industry Stats Case Study This almost goes without saying, but make sure your new Display visitors taken some kind of opt-in approach before they can get what you promised. If you don’t, then you can’t really nurture them to become paying customers in the future. Here’s What You Should Do Next Even though we only covered a small part of what’s possible with the AdWords Display Network, you now have five easy-to-use and actionable ways to expand and grow your conversion volume. Aside from continuously testing, be relentless in tracking everything directly to revenue. You may find odd nooks and crannies that you never thought would make sense to target, but once you have the complete revenue picture, you’ll be excited to continue fishing and expand your AdWords Display targeting portfolio. Happy fishing! What other AdWords Display hacks do you know of? Share them in the comments section below.

By: Heidi Bullock Posted: June 13, 2016 | Marketing Metrics Does it feel like every day you see a new article on marketing metrics? Lately, there has been a lot of buzz around the RIGHT metrics to focus on. Today it’s pipeline, yesterday it was MQLs, and last week it was customer acquisition cost (CAC). In marketing, the one thing that is a constant is change, and it can feel overwhelming to finally agree on a set of metrics with your team, then go to a conference or see a tweet from an analyst and realize that you’re missing five more. Today, I saw that pipeline is the #1 thing your business should be looking at if you’re in B2B. I can’t say I disagree with this, but I do really think it’s less about one metric like pipeline and more about what metric matters forwhen you’re measuring. Here are a five things I’ve learned over the years about marketing metrics, and while they may not be the trendiest, they still hold true to this day: 1. It Starts With Understanding Your Business Objectives Be clear on your business objectives first, then determine what metrics to measure. One way to do this is by mapping your business stages to the customer journey. In the example below, the customer journey is broken into stages, including: awareness, engage, convert, retain, and advocacy, but they may differ for your organization depending on your business model. These stages represent the different business outcomes your company is driving towards (e.g. retention or share of voice), and it’s critical to establish this first to determine the right set of metrics and timing that map to those objectives. 2. It’s Not About ONE Metric The metrics you measure depend on the set questions you’re asking and the timing. When my team first runs a program–whether it’s for target accounts (ABM) or a PPC program–we understand that we won’t have a pipeline number on day one or even day 14. While we ultimately care about the pipeline/cost ratio and revenue won to show how our programs contribute to business growth, these numbers take time to mature so we track them at a later time. However, this doesn’t mean that you should just twiddle your thumbs as you wait for your programs to run their course. It’s important to track early stage metrics in the meantime because they help you understand whether you’re seeing early signs of success or need to make modifications. The example below demonstrates the different types of metrics you might track for an ABM campaign. While your business objective is to generate more revenue within your target accounts–you need to look at other early- and mid-stage metrics along the way to understand whether you’re making the right progress. Here’s another example for an event. While you ultimately want your event to bring in closed-won deals, that takes time. In the interim, it’s important to look at early stage engagement. While it’s not a perfect predictor, you can still see if you need to make any adjustments, such as sending out more invites or adding a registration discount, to ensure you’re getting closer to the end goal. 3. Agree on Definitions EARLY If you haven’t heard it enough, here it is again: sales and marketing alignment is critical to closing more deals. This starts with agreeing on definitions early on so that both teams are on the same page as leads come in and progress down the funnel. Is your revenue team aligned on the definition of a lead, MQL, SQL, or opportunity? This definition may differ throughout different companies, so it’s critical to make sure your definitions are documented and communicated. 4. Get the Right Systems in Place to Track Your Progress One of the reasons it’s so important to understand what metrics you’ll track before you run a campaign is because there’s nothing worse than not being able to answer a critical question because the right tracking and technology wasn’t in place. Think of the questions you’ll want to ask first, then work backwards to ensure you can track the different steps that answer them. Do you have the right technology to be able to track the number of blog subscribers on your site? Do you know which email program was the most successful for deal acceleration? Which case study was the most successful for your sales team? The example below shows how a webinar program is tracked in Marketo (although you can use another marketing automation system to do this). You can dig into the data to understand how your leads interacted with your program. Did they register for the webinar? Did they actually attend? Did they engage with the follow-up email you sent? How did this webinar contribute to revenue growth? These are the types of questions you’ll want to ask before you even run your campaigns to make sure everything is set up on the back-end to answer them. 5. Focus on a Few Key Metrics That Help You IMPROVE Your Marketing This means that you should measure things not just because they are measurable, but rather because they will guide you towards the decisions you need to make to improve company profitability. Think about the contrast of a 747 airplane dashboard and your car dashboard–there are so many different indicators on an airplane dashboard that it’s hard to quickly ascertain the most important ones. On the other hand, the different indicators on a car are pretty clear so that you can quickly decisions like when to bring your car in for maintenance or when to get gas. Likewise, you should have a key set of metrics for your business objectives that you monitor regularly to understand what are positive outcomes and where you need to focus more.  Marketing metrics can be a mouthful, and while it’s important to stay up-to-date on the latest and greatest, all the buzz can get overwhelming when you don’t know what to look for. With the right measurement strategy in place, you can be well on your way to mastering metrics and measuring the right ones. What other factors do you consider as you’re planning your measurement strategies? Share your tips in the comments below!

Note: This playbook was provided by our LaunchPoint partner, Neustar Results from this study reveal that the practices and attitudes of marketers and publishers are aligning with consumers’ privacy concerns. For all the negative connotations around data collection, the reality is much less scary. Below are some key findings from the study, followed by a more in-depth discussion. The marketing industry still struggles to link data to create individual customer profiles. Half of the respondents said they aren’t able to do it. Complexity seems to be the overarching challenge when it comes to data collection. 25 percent said that legal issues are a challenge; 29 percent said process is a main challenge; 19 percent responded having no systems in place was a hurdle.' Traditional modes of data collection are still dominant. 71 percent told us they collect information based on phone numbers, home addresses and IP addresses; 76 percent reported collecting demographic profile data. Interestingly, only 47 percent are collecting psychographic data. Marketers and publishers believe, overwhelmingly, that consumers should know what data is being collected. Approximately 96 percent said that consumers should have complete control and be fully informed about a company’s data collection policy and have the ability to opt-out. Additionally, 89 percent said that a company is either responsible or completely responsible for respecting and protecting consumers’ privacy. Some industry executives (21 percent) believe government constrains companies too much when it comes to collecting data. There’s also an education issue; 23 percent said they’re not familiar with the current legal framework.

By: Johnny Cheng Posted: August 3, 2015 | Marketing Metrics I’m baaaack! It’s me, Johnny, with your next blog from the Marketo Institute! This time around, we’re going to take a look at conversion rate. Conversion rate is one of the most important marketing metrics. It’s a metric that lead generation marketers—from practitioners all the way up to CMOs—are measured on. And that’s because today marketing owns just as much of the pipeline as sales does, and conversion rate is a great indicator of pipeline health—starting from the marketing end of the funnel. Let’s start at the top of the funnel and look at conversion rate by acquisition channel. This will help answer the age-old question of channel performance. For every dollar, what percentage would you allocate to which acquisition channel? Easy! The one with the highest conversion rate, win rate, and velocity. What Is Conversion Rate? The conversion rate, in terms of demand generation, is the percent of “contacts” that successfully go from one stage of the funnel to the next. Conversion rate could identify with any activity such as clicking a call-to-action and going from a “name” to a “lead”, or reaching a certain lead score and going from a “marketing qualified lead” to a “sales qualified lead”. But the ultimate conversion rate every demand gen marketer is measured on is lead to opportunity. Converting an interested customer into a buyer is what marketing is all about. Now, let’s dive into the data! Channels That Convert The chart below represents average conversion rate (from lead to opportunity) by acquisition channel across all Marketo customers. The darker shade of green indicates where leads converted at a higher rate. The first column shows the acquisition channel where leads are sourced. The second column shows the average conversion rate percentage of each channel. The third column shows normalized conversion rate to highlight relative standings (e.g. Paid Marketing converts 2x Events). So what does this data tell us as marketers? Looking at the results, here’s what stood out to me: Referral: The power of “word of mouth”. Bah, I guess that old cliché saying was right. Referral is by far the highest acquisition channel for conversion rate (almost 4x the average.) In fact, some of the largest, fastest adoptions (Gmail, Dropbox, Zappos) can be credited directly to “word of mouth”. Takeaway? Build a great product, build a great experience, tell the world, ask your customers to tell the world (maybe even reward them)—and you’ll profit. Inbound: Content is king. As Bill Gates predicted in an article written in 1996: “Content is where I expect much of the real money will be made on the internet”. Almost 20 years later, this couldn’t be more true, especially in the digital marketing era where choice of content is in the hands of the consumer. Imagine a popup ad (outbound) versus a funny infographic you chose to look at (inbound). Data clearly shows that people who choose to interact with your brand naturally convert higher (28% more than paid marketing). What are your doing to build content to support your customer’s journey? Not sure? Well, for one, it’s time to take a cue from me and start writing those awesome blogs! Prospecting: Mining for leads. This one is a bit surprising. Leads sourced from prospecting convert at a third of overall average. But this goes to show you how old-fashioned prospecting such as door-to-door or cold calling just doesn’t work well compared to other sources. It isn’t uncommon these days for me to hear about companies with 60-80% of their leads sourced from marketing. It’s much more efficient to have sales do what they do best: selling, not cold calling. Email and Nurture: Emails have the lowest conversion rate. Wait…what?! Don’t fire your email marketing team. This is showing conversion by acquisition channel, which means if your lead source came from emails and nurture, you’re doing something wrong, or you’re just desperate, or…you’re a spammer (which also explains the bad conversion rate). And as we’ll see in an upcoming Marketo Institute blog, emails and nurture both have amazing ROI for multi-touch attribution after you’ve acquired the lead. Now, It’s Your Turn Let’s use this analysis as a comparative exercise. Take a look at your conversion rate, broken down by acquisition channel (or first touch attribution, if you prefer.) How does it stack up against the Marketo average? Are there channels that are much higher or lower by comparison? Here’s what you could possibly see: “All my conversion rates are way higher than average”. Congratulations! You’re doing a great job! Take the day off. Well, unless it’s high because you have no lead scoring in place, in which case—get back to work. “My conversion rates are all over the place”. This could be due to several factors, first and foremost is the industry. When I sliced and diced the data by industry I saw some interesting things. I saw that the real estate industry’s highest conversion channel is events, which makes sense if you think about open houses being the main source of leads. Or that the non-profit industry’s highest channel is prospecting, which also makes sense if you think of all of the donation calling. Another reason your conversion rates could vary is resources and timeframe (urgency.) Certain channels are just more resource intensive (dollars or people) and can greatly differ in time-to-value. An example would be if you have a sizeable budget but need to meet an immediate spike in leads this quarter, you’re probably not going to rely on inbound content marketing. Another example would be if you have an incredibly strong partner ecosystem or reseller program, you’re going to focus more resources on those channels. “All my conversion rates are much lower than average”. Conversion rate alone isn’t a good indicator of marketing success. This is where you’ll need to look at other data sets. Align your conversion rate with win rate and velocity by channel. Hopefully you’ll start seeing some positive patterns in the data. If, for example, your conversion rate is low, but your win rate is phenomenal, it could just mean you have a very conservative marketing handoff or stringent lead scoring system, which is OK. Another scenario could be that your leads have extremely low velocity so they are sluggishly moving through the funnel, taking years to convert and realize value. But if all of the data indicates poor performance then you should take a look at your funnel. Be extra careful of this common pitfall: casting too wide of a net top-of-funnel, hoping to play a numbers game, but lacking focused programs, activities and content to drive the leads through the funnel. This is doubly dangerous because you end up wasting extra resources pulling in bad leads (ones that would never convert), while leaking out potentially good leads due to the lack of attention and touch points. Notice something in the data that stood out to you? Let me know in the comments below.

Note: This guide was provided by our partner, Cake. Topic: Mobile, Mobile, Mobile. It is important for every marketer. Understanding mobile analytics is still a challenge for most companies. This white paper aims to outline the new and emerging challenges facing those hoping to monetize the incredible potential of mobile tracking techniques.

By: Mike Stocker I’ve been at Marketo now three years, where I have managed the customer success team and, as a part of that role, personally managed several of our largest enterprise customers. In managing those customers I gained insights into what many CMOs were hoping to achieve in their Marketing efforts. Now, in my current role, as Director of Business Development, I’m helping to drive partnerships that provide additional solutions that help Marketo marketers be more successful in their marketing. In both roles, and through many conversations, it’s clear that many CMOs are struggling to get a clear picture of how their paid media acquisition channels perform when viewed through the entire customer lifecycle. My belief is that by connecting the worlds of paid media and acquisition and marketing technology and engagement, CMOs can get a complete view of the customer lifecycle. At that point, they can decide where to allocate their budgets to get the maximum return. But CMOs continue to face organizational obstacles that prevent that from happening. All too often, the groups inside companies responsible for customer acquisition and the groups who manage retention and engagement live in different silos, if not different worlds. And that’s not making the CMO’s life any easier. Lifetime customer value In the last decade, marketers have embraced engagement marketing as a way to cultivate high-value relationships with loyal and long-term customers. But many companies are still only focused on the cost of acquiring customers on a one-off basis. It’s almost a throwback to the era of transactional marketing when the goal was to generate revenue short-term, not forge long-term relationships between the business and its customers. Understanding customer lifetime value can be a difficult proposition. Remember that a lot of marketers are, well, marketers and not technologically inclined. Getting at this data often presents a technological hurdle, and marketers may not be adept at stitching together the new technology and big data systems needed to get a true picture of lifetime customer value. This has been a challenge for marketers long before the arrival of the Internet. But it’s a vital metric for CMOs who otherwise are forced to fly blind about what they spend and the true returns on their acquisition efforts. I was listening to a presentation by an e-commerce CMO whose division did about $100 million in revenue. When we spoke afterwards, I asked whether she knew who her best customers were. “What was the lifetime value of each of the company’s customers?” I asked. No idea. “It’s too hard to pull that data together,” she said. I scratched my head after hearing that. When you think about digital marketing and e-commerce, all that information is trackable. It’s just a matter of bringing systems together. Six months later, the parent company shuttered the division. It simply didn’t know who their best customers were and was marketing without understanding the ROI contributed by each of the company’s channels. Reach out and touch someone CMOs can’t get an accurate picture if these two camps—the folks responsible for acquisition on one side and the folks charged with retention and engagement on the other—don’t talk with each other. It’s only by breaking up the organizational silos and bridging those two worlds that you’ll have a clear idea of the customer journey as well as the broader customer life cycle. This is more than a call for “kumbaya.” By letting super-valuable customers slip away, the organization loses a tremendous opportunity to make money later on. I can demonstrate this with the example of an automotive marketing campaign where the company is only concerned with immediate returns. Assume that some customers who came in to buy a vehicle also planned to buy several more cars from the same manufacturer over their lifetimes. Even if we were only talking about a few customers, all are worth their weight in gold. But a transactional approach that valued only the single point of sale would shut down the campaign if it failed to meet expectations for immediate returns, especially if you didn’t know what the true lifetime value was over time. There is no room in that calculus for some of the best customers the company could hope to find. Take a page from Williams-Sonoma Pat Connolly, the great CMO at Williams-Sonoma, likes to joke that he’s held the title CMO longer than anyone ever. But tenure brings wisdom and after some 30 years in the post, he’s stored up valuable insights about what works and what doesn’t. And Pat’s a proponent of utilizing technologies that help his team understand the product preferences and lifetime customer value of the people who shop from Williams-Sonoma. The reason he’s so good at this is that he and Williams-Sonoma have a rich heritage of catalog based direct marketing background. Catalog and direct marketers were the first to recognize the benefits of measuring their costs of acquisition and understanding the metrics around lifetime customer value. Since Williams-Sonoma ships huge numbers of catalogs that cost a lot to print, the company needs to calculate what they expect to make from each of their customers over a period of time—or they risk wasting a lot of money. At the same time, if you make purchases from Williams-Sonoma, they keep your preferences and later will offer things that are complementary as they upsell and cross-sell effectively to their customers. Starbucks gets it right This is no secret to anyone who works with me, but I’m addicted to Starbucks. And the reason has to do as much with the company’s understanding of lifetime customer value as with the quality of its particular brew. The company rewards me with a free drink or food item each time that I accumulate 12 stars on their app. This loyalty program nicely demonstrates the concept of customer lifetime value in practice. Until I starting using their mobile app, I would rarely patronize Starbucks; now I go there every morning. In return, I receive the company’s gold card with numerous special offers, because Starbucks values me as an important customer who is going to spend a lot of money in their stores. Or at least they’ve succeeded in making me feel valued. Fast takeaways Those are just a couple of examples of the companies who get the importance of Customer Lifetime Value. Many companies are starting to think more about their customer lifetime value and customer lifecycle and the common theme of those that are doing it well is that they are leaders in their fields. It’s hardly coincidental that the companies that misunderstand lifetime customer value often turn out to be the laggards in their sectors. There are clear lessons here for marketers: If you only focus on acquisition and don't include the entire customer lifecycle, you’re simply shooting yourself in the foot. Lifetime customer value needs to be the main metric you are measuring on and not just immediate acquisition. Tear down those silos—All your teams should be collaborating productively so when the CMO says, `Show me the money,’ they know the true returns their paid media campaigns are driving and budget can be allocated for maximum results.  

Big Data is rock’n the Marketer’s world. It is signalling a wake-up call that marketers need to be more metrics driven, more technically savvy and more process oriented. At the top of the food chain, CMOs are taking on responsibilities that traditionally belonged to CIOs. And at the middle management level, marketers are being required to be more technical and metrics oriented. The days of just fishing for eyeballs or operating based on one’s gut instinct are long gone. It is no longer acceptable to just look at demographics or psychographics or just count eyeballs. Instead, marketers need to focus on the numbers — people’s tribes, their behaviors, their interests, their online behavior — both in terms of surfing the website or a mobile app or transacting with a page or shopping cart.. Most marketers would agree, however, that they are not prepared for the incoming Big Data wave: they lack resources, lack data know-how, and they don’t know how to get started. According to a study from The Economist Intelligence Unit, only 24% of marketers use data for actionable marketing insight. Furthermore, in that same study almost 50% of marketers cited a lack of capacity to analyze big data. Some companies are increasing their budgets for Big Data analytics. The problem is that there’s no road map for getting these marketers up to speed. Rather than focus on the bells and whistles (the technology) of big data, here’s are 7 steps a marketer a marketer can take to get out of their comfort zone and jump into the Big Data World: Understand the definition of Big Data, which is usually defined by the 3Vs: Volume or the amount of data involved Variety or to how the data is structured Velocity or the rate at which it is generated and analysed Subscribe to and learn from few key bloggers, who can teach you the ropes: SemAngel Blog by Gary Angel: Gary brings over twenty years of experience in decision support, CRM, and software development. Gary co-founded Semphonic and is the President and Chief Technology Officer.  But don’t let the CTO title fool you. Gary is the the brightest consultant I have worked with and can take complex techn issues and break them down into easily digestible and understandable. chunks for markets Analytics Blog by Justin Cutron: Justin is currently the Analytics Advocate at Google, so he has a boatload of knowledge. In his blog, he breaks down digital analytics for businesses. Customer Analytics blog by the SAS’ companies – This blog is for anyone who is looking for ways to improve the business of marketing and communicating with customers, which includes everything from multi-level marketing to social media campaigns. Big Data Hub by IBM: This blog is filled with case studies, videos, etc. from key players at IBM and beyond. Business Analytics Blog by Tim Elliot: Tom is an Innovation Evangelist for SAP. This blog contains his personal views, thoughts, and opinions on business analytics. Get your organization big data ready: Tear down your organization’s silos and engage multiple departments Give team members homework — tell them to read the blogs mentioned above. Think about how you will link your current data infrastructure to your project (that means a business analyst, and IT guy, etc. should be involved in the meeting) Know and recognize that Big Data is a team sport Work with  framework your organization agrees on, such as: Define Your Goal Understand your resources Review key segment’s Journey Confirm you are capturing data during each phase Establish benchmark Create a small measurable deliverable (test) Track over time Establish toll gate reviews Expand program Tweak your programs as needed Define the desired outcome and the one question you want to answer Yes, narrow it down to one (primary) question Answer the question and move on Understand your inputs by breaking down your customer(s) journey Identify the different sources of data, such as social network behavior, information from third party lists, mobile usage, downloads, etc. List out different types of potential metrics you could track: Information related specifically to the customers transactions (or actions) Information related to a segment’s usage patterns Information related to the overall marketing program In some respects Big Data is just an extension of database marketing, a popular term in the 1980s and 1990s because it focuses on leveraging customer information to segment an audience and develop personalized campaigns. The biggest difference now is that we can leverage unstructured data (video for example) and implement just-in-time programs. I am a big believer in learning by doing. If a Marketer really wants to be figure out how to integrate big data into their business processes, they need to have on-the-job training. (And to that point, I actually believe this is important for the CMO as well as the Business Analyst, although the latter might get more in the proverbial data weeds!). If marketers don’t do this, they will lose their admission ticket to be in the marketing world.

By: Aleece Germano Posted: June 21, 2016 | Marketing Metrics As a digital marketer, you might be asking yourself this question: “Where’s my (social) ROI?” Your boss is asking you for it. You see ads following you on the web trying to help you calculate it. Your peers tell you it’s impossible: “You want to attribute revenue dollars to social? Good luck with that.” So what’s a data-driven marketer to do? When it comes to attributing ROI to a top-of-funnel social media strategy, the challenge is often in having access to enough data points to correctly understand its impact on revenue. While a sale may not result directly from a social engagement, social may have served as the initial entry point (discovery) or a point of reference (consideration) multiple times along the buyer’s journey. In this case, attribution requires analysis across multiple touchpoints, using multi-touch (MT) attribution, rather than only looking at first-touch (FT) attribution or last-touch (LT) attribution. Let’s start by looking at an example: Marketing is creating approved content for the sales team to distribute across social networks in order to start and nurture conversations as part of their social selling strategy. On some teams, sales uses Twitter to search for buzzwords and chat with potential leads. How can you track a conversation on Twitter all the way through to a closed-won deal? Before we get started, let’s take a look as some assumptions I’ve made about your marketing and sales technology: Your sales team is using a customer relationship management (CRM) system and your marketing team is using a complete marketing automation platform. Your sales or marketing team is using a social relationship platform (SRP) such as Hootsuite, Synthesio, or Sprinklr for social publishing and/or listening on social networks. Now, let’s explore how to measure the ROI of B2B social campaigns with multi-touch attribution: 1. Connect Your CRM and SRP to Your Marketing Automation Platform First, you need to integrate your solutions so that data can flow in and out properly. Some marketing automation solutions may offer a native integration with your CRM that syncs the data on a regular schedule. Or you might build your own connector via open APIs and/or middleware partners. Check to see what integrations may be available for the SRP you are using. If you’re using Marketo, you’ll need to configure an easy, out-of-the box integration with your CRM and SRP. (Details in our LaunchPoint ecosystem.) Now, when your sales team publishes content via the SRP and it ignites a conversation on social, they can send that data into your marketing automation system. Here’s a peek at what that looks like using the Hootsuite integration for Marketo (of course, your exact solutions may differ): 2. Identify a Match or Create a New Lead Next, a complete marketing automation solution can check to see if there’s a match in the database. If not, as you can see below, it will identify whether that person is a new lead. Awesome! You just created a lead from social. 3. Measure Your ROI Now, as you run campaigns with your marketing automation platform, your lead may convert, and her email address and other form data will be appended to her record in your database. From here on, your marketing automation system will track every interaction along the funnel to a closed-won opportunity. In the meantime, you will want to track the program costs simultaneously as part of campaign creation.Time to run some reports. A solid marketing automation platform will allow you to measure multi-touch attribution, so that you can understand which programs are most influential in moving people forward in the sales cycle over time. In Marketo, you can run the Program Analyzer to see which channel drove the highest ROI. From a first-touch perspective, you can see that social as an acquisition channel brought in 1,367 new names (leads) and produced an ROI of 108%. That’s not bad, but what if you look at this from a multi-touch perspective? From a multi-touch perspective, you can see a different story emerge which helps you understand how social impacts middle-of-the funnel activity, as reps continue to nurture and engage leads on social. Here we see the true ROI as 142%–a higher ROI for a much lower cost than other marketing programs. Now that you’ve proven your social ROI, you can confidently ask for more investment. Let’s take an even closer look at social so that we can understand the ROI of paid vs. organic. By drilling into the Social Media channel (below), we can view our ROI at a more granular level—in this case, organic posts and conversations on Twitter drove an ROI of 106%. Before you celebrate your victory and go on to optimize your social campaigns, here’s a quick recap of how you can consistently measure your social programs: Use multi-touch (MT) attribution to understand the revenue impact of your top-of-funnel strategy. Connect your CRM to a complete marketing automation platform, and connect your marketing automation platform to your SRP. Track your program/campaign costs in your marketing automation platform. Use multi-channel analytics in your marketing automation platform to compare the ROI of one marketing channel or program over another. Budgeting is easy when you have marketing ROI data at your fingertips! Marketers can show the revenue impact of their efforts on social, and across other channels. Stay tuned for my next post, where I’ll cover a new attribution use case to solve. What are your marketing attribution challenges? I’d love to hear from you in the comments below.

Author: Joe Paone  ​ It’s no secret that the financial services industry has been going through a transformation in recent years. Independent financial advisors, as well as large institutions, are moving away from commissioned accounts to a fee-based approach. Firms like Merrill Lynch that were once full of commissioned-based brokerage accounts now have a company roadmap to transition customers to fee-only accounts. Advisors who were once paid on transactions are now be paid a percentage of all the money that they manage. This not only has implications for their business models but their marketing models as well. By tying compensation to assets under management (AUM), advisors are now highly incentivized to retain existing customers (unless they want a pay cut). And if they want to increase AUM, they must acquire new customers or cross-sell additional services like estate planning or tax planning. Impact to Marketers This shift in focus applies to marketers across all verticals, as buyers have higher expectations and are harder to win over without having personalized conversations. Gone are the days where a print ad strategy was all you needed to acquire new customers and keep your brand top-of-mind. Today’s marketers have to be more savvy than simply sending mass emails to their databases or hiring an agency to run a digital ad across the internet. Buyers and investors expect the same level of personalization they would get from Amazon, YouTube, or other retail companies. In an industry that is traditionally slow to adopt new technology, it’s imperative that marketers push their firms to change. There’s a reason robo-advisors like Wealthfront or Betterment are growing at breakneck speeds (granted, a very small percentage of assets are currently managed by robo-advisors). They are embracing technology like marketing automation to more efficiently and effectively acquire and retain customers through a personalized approach at scale. Here are three key ways marketing automation can help you acquire and retain customers, in financial services and beyond: 1. Segmentation To get the right message to the right investor, you must segment your audience. This is the same strategy YouTube uses when suggesting videos you may be interested in, or Amazon uses to suggest products you might want to consider. While there are ways to implement segmentation outside of marketing automation (excel, CRM, etc.), if you want to deliver different messages to different segmentations in real-time, there are no substitutes. Create a personalized journey by segmenting your prospects into different buckets so that you can provide each bucket specific content that aligns to your desired outcome. Basic segmentation can be separated into two different buckets: demographic (based on who they are) and behavioral (based on what they have done). Demographic: If you are an asset manager, for example, you can start demographic segmentation by splitting your audience into two categories: institutional investors and retail investors. For institutional investors, you likely know your target market very well. Marketing automation allows you to segment based on industry, company size, role, location, AUM, investment style, and anything else you deem important. On the other side, you have retail investors, which at a basic level can be segmented by age, net worth or investable assets, location, gender, and investment preferences or goals. Behavioral: Behavior segmentation is based on what your audience does, which could be: where a prospect is in the buying cycle, what their score is (which will be covered below), different financial products or strategies they have expressed an interest in, web activity or email engagement, and, of course, non-activity. All of these behaviors reveal their online body language that indicates their level of interest and future intent in becoming a client. Now that we’ve gone through the basic two components of segmentation, you can define and build specific segmentations for your clients and prospects that leverage both demographic and behavioral information. You will use these segmentations to help tailor your messaging for each group. Target accounts, investment strategy, client behavior, portfolio size, investor persona, and region all lend themselves well to different segmentations. Once you’ve nailed that down, the next step is to start developing even more advanced and targeted segments taking into account behavioral data, scoring, etc. An easy place to start is through your buyer personas. For example, a prospect may be retired and primarily interested in fixed income. If you want to acquire that prospect, it doesn’t make sense to communicate with them about a long-short strategy or some other tactical play. On the other hand, you may have identified some prospects that are more hands-on or sophisticated. Those potential investors may prefer more detailed communications in the form of a whitepaper and more frequent updates. The bottom line with segmentation is that if you know what your customers and prospects care about, you can tailor your communications to them. Whether you’re marketing financial products or business software, by delivering personalized communications to specific segments, with you’ll be able to take the personalized touch and feel of a 1 on 1 conversation and extend it into all of your digital marketing communications. 2. Scoring Lead scoring—a method of ranking leads for their sales-readiness, agreed upon by both sales and marketing—is a concept that you’re probably familiar with. Lead scoring helps you prioritize which prospects sales need to follow up with immediately and which prospects need to be nurtured. While it sounds easy enough to implement, depending on the size of your business, it can be extremely challenging without the right tools. If you work for a large firm, you may have to engage multiple teams (analytics, digital, etc.) and partners (agencies, third parties, etc.) in order to pull all the information that you need for lead scoring. This is extremely inefficient, time-consuming, and more often than not leaves you with stale data. If you work for a small firm, you may have to conduct your lead scoring by exporting data from various sources and running multiple Excel searches s to match known users to their behaviors. You may also be using a CRM system to help with your lead scoring. In either case, you’re left with incomplete data and can only score “known visitors,” leaving all unidentified or anonymous prospects behind. With marketing automation, you can set up rules that score prospects and customers based on demographics (investible assets, investment time horizon, etc.) and behavior (online and offline) as well as anything else that your sales team finds important. If your marketing automation platform integrates with your CRM, when a salesperson updates a record (i.e. changes a person’s investible assets), that information will be immediately reflected in the score. Scoring should happen in real-time, so you don’t have to spend countless hours pulling data and matching accounts. For an illustrative look at the benefits of lead scoring and how to implement it, refer to the chart below. On the right-hand side of this chart, there are two types of scores: latent behaviors (which are really just forms of engagement) and then active behaviors which demonstrate some buying intent. In latent behaviors, a prospect could download an early stage whitepaper and get +3 points. Then, that prospect, who you assumed to be a good prospect, began to visit the careers page heavily. This action indicates that perhaps this wasn’t a prospect at all, but rather someone who is interested in a job, so then you can decrease the score by -10. In active behaviors, if a prospect visits the fees page, you can assign them +30 points. Or if someone requests to be contacted, give them +50 points and send them straight to sales. Using this scoring methodology, you can then set a score threshold that indicates when a prospect is “sales-ready.” For example, if a prospect gets to a score of 100 (and you know that based on sales feedback, a score of 100 or greater indicates a warm prospect that is ready for a sales conversation), you can automatically notify sales. 3. Sales Efficiency Implementing a segmentation and scoring strategy will ultimately help your sales team become more efficient. They will better understand the right people to call (based on their lead score) and better understand what to talk about (based on their segmentation). As an example, let’s say that before you implemented marketing automation, you were sending 30 prospects per day to sales. Of those, only five were warm and ready to have a conversation. But since sales didn’t know which prospects were warm, they had to call all 30 to find the five warm prospects. That is inefficient. With marketing automation, taking the same example of 30 prospects per day, you can eliminate sending 17 of those prospects to sales because they didn’t reach the scoring threshold. Furthermore, you can eliminate three other prospects who visited your careers page. Ultimately, you end up only sending 10 prospects to sales, which means that your salespeople only need to make 10 calls to find five warm prospects, rather than making 30 to reach the same outcome. Through marketing automation, segmentation, and leading scoring, you’ll increase sales efficiency and your salespeople can spend more time prospecting through their own outbound efforts. All the companies and industries can benefit from a solid marketing automation platform. The financial services industry, in particular, is perfectly positioned to realize tremendous value. Investing can be very emotional for people as money doesn’t come easy, so if you send them mass emails or blanket messages that don’t speak to their particular needs or situation, you’re likely to alienate them. But with the right segmentation and scoring in place, you can create timely and hyper-relevant marketing campaigns that will help you acquire and retain clients, grow your existing customer base, and ultimately increase sales efficiency. What other industries can benefit immensely from marketing automation? Share your thoughts in the comments below!