{"id":757,"date":"2016-05-02T20:40:06","date_gmt":"2016-05-03T00:40:06","guid":{"rendered":"https:\/\/blog2wrkdev.wpenginepowered.com\/how-h2o-ai-uses-marketo-and-workato-for-data-driven-marketing\/"},"modified":"2026-09-29T06:27:27","modified_gmt":"2026-09-29T10:27:27","slug":"how-h2o-ai-uses-marketo-and-workato-for-data-driven-marketing","status":"publish","type":"post","link":"https:\/\/blog2workato.wpengine.com\/how-h2o-ai-uses-marketo-and-workato-for-data-driven-marketing\/","title":{"rendered":"How H2O.ai Uses Marketo and Workato for Data Driven Marketing"},"content":{"rendered":"\nBig Data and Machine Learning – two phrases that most people have heard before. Fewer, however, can claim to understand exactly what it does and how it works. That\u2019s H2O.ai\u2019s specialty. They provide the algorithms and libraries for machine learning used by hundreds of leading companies from PayPal and Ebay, to State Farm and Cisco. Even if the terms \u201cBig Data\u201d and \u201cMachine Learning\u201d feel ambiguous, you\u2019ve probably come into contact with their work before. Those ads that seemed a little too targeted? That\u2019s thanks to Big Data. And those, \u201cThere may be fraudulent activity on your credit card\u201d alerts you get from Capital One? Those were possible thanks to H2O.ai\u2019s machine learning capabilities.\n\nIn short, H2O.ai allows people and companies to make well informed predictions based on their data, and Marc Mastrocola, Director of Marketing Operations has aptly applied this philosophy to his own data driven marketing technique. \u201cWhat I really do is build a solid demand generation funnel, which increases user acquisition, and improves pipeline conversion at key points. I want to create a system-oriented process, meaning if you can\u2019t show me metrics, your system probably isn\u2019t working,\u201d says Marc.\n\nYou might think that driving traffic to a landing page is the most important element of lead acquisition, but in Marc\u2019s well oiled, lead generating machine, intelligent follow ups have the largest impact on the conversion rate from lead to paying customer. Unfortunately, gathering the data that drives these intelligent follow ups can be difficult, as information from several cloud apps and a human data gathering process must all converge in one place. That\u2019s where Workato comes in.\n\n\"workbot_h2o\"\n\nMarc uses Workato recipes (recipes are a set of tasks that get work done across your apps) to automate his entire lead generation workflow. The recipes he\u2019s created take unique information from 4 different sources (Intercom, Dropbox, Eventbrite, and Salesforce) and put into one place (Marketo) automatically. The workflow continues by feeding information from Marketo to an employee and back to Marketo, and finishes by pushing information into Slack by category.\n

These actions complete 4 steps:\nI. Lead Sorting<\/em>\nII. Lead Cleansing and Triage<\/em>\nIII. Keeping Track with Slack<\/em>\nIV. The Impact of Workato’s Workbot for Slack<\/em><\/p>\nSo how does this incredible ecosystem work exactly? We\u2019re excited to show you how Marc uses Workato to automate his team\u2019s workflow, and accesses the workflow from inside of Slack using Workbot for Slack<\/a>.\n\nRelated: 3 Marketo integrations that your sales team needs the most<\/a><\/em>\n

Step 1: Lead Sorting to Salesforce with Intercom, Eventbrite, & Dropbox<\/b><\/h4>\n\"lead\n\nMarc and his team gather leads from multiple apps – Intercom, Eventbrite, and Dropbox. The primary source is Intercom, an app you might recognize from the bottom right hand corner of many websites. Intercom not only gathers chat conversations with customers, but acts as a hub for all customer communication. Marc created two Workato recipes that intelligently move leads from Intercom and into his Customer Relationship Management (CRM) tool, Salesforce.\n\nFirst Lead Source:<\/i><\/b> Intercom<\/i>\n\n\"bar_in<\/a>\n\nIntercom Recipe 1<\/a>: When someone signs up, \u00a0it is logged into Intercom. Workato detects the new lead in Intercom and will automatically send the new lead to Salesforce. Workato will create a new Salesforce profile for the lead, but first it will check to make sure the lead doesn\u2019t exist already, thus avoiding duplicates. If the lead does exist Workato will update the lead in Salesforce with any new information.\n\n\"bar_in<\/a>\n\nIntercom Recipe 2<\/a>: Any conversation with a customer\/lead is logged in Intercom. Workato will send the conversation details to Salesforce and create a new note on the customer\u2019s profile.\n\nSecond Lead Source: Eventbrite\n<\/i><\/b>\nThe second major source of lead generation is H2O.ai\u2019s annual conference – H2O World<\/a>. Attendees gain access to valuable insight like how to build predictive models and run machine learning algorithms in Big Data Environments. Marc uses Eventbrite to sell tickets and needs these leads to sync into Salesforce along with any Intercom leads. This ensures he never forgets to follow up with a new lead without requiring any extra work on his end during the chaos of event planning.\n\n\"bar_eb<\/a>\n

Eventbrite Recipe:<\/a> When a new person registers in Eventbrite, Workato will check to see if that person exists in Salesforce. If they do not, Workato will create a new profile and then add the profile to a specific conference campaign that Marc created in Salesforce.<\/p>\n\u201cThe Eventbrite sync with Salesforce allows us to automatically sync all new attendees and if that weren\u2019t the case we\u2019d constantly have to log into Eventbrite, check their status, and log it into Salesforce,\u201d says Marc. \u201cIt would have been so much manual work and Workato made it easy and a hands off process.\u201d\n\nThird Lead Source: Dropbox\n<\/i><\/b>\nCompanies using H2O.ai rely on their great analytics system to report on the way the algorithms used big data. How many customers got a fraud alert today? How many customers churned? For Marc\u2019s growth hacking team, the analytics from their own product contain massive insights into how they can turn a lead into a paying customer or help a current customer upgrade to a package that better fits their needs. To retrieve this data, Marc runs a redshift query and creates CSV files that are automatically synced to Dropbox. This recipe then parses the product usage data<\/a> from the CSV into Salesforce for Marc:\n\n\"bar_db<\/a>\n\nDropbox Recipe:<\/a> When a file is updated in Dropbox, Workato will read CSV file lines and use the ID to search for the account in Salesforce. If the object \u201cH2O Sessions\u201d already exists, then Workato will update the object \u201cH2O Sessions\u201d in Salesforce. If the object does not exist, Workato will create the object \u201cH2O Sessions.\u201d\nWith this recipe, the usage of their product gets added into the lead in Salesforce. This, in tandem with the next triage step below, allows Marc\u2019s team to prioritize and lead score – ultimately deciding which leads deserve more time.\n\nFrom Salesforce to Marketo<\/i><\/b>\n\nSalesforce is now automatically up to date with any and all customer information – whether from Eventbrite, their own product, or Intercom – and is available for the customer service team to utilize. This automation not only makes the growth team\u2019s job easier, but it also increases their efficiency, making sure they can leverage every bit of information about that customer. Because Workato ensures there are no duplicates or bad data, it is safe for Marc to link Salesforce with Marketo using their in app integration so his growth hacking team can make the most out of Marketo\u2019s marketing automation<\/a> features.\n\nRelated: How to automate content analysis<\/a>\u00a0<\/em>\n

Step 2: Cleansing Leads & Triage in Marketo with People Task<\/b><\/h4>\n\"cleansing\n\nThe growth hacking team at H2O.ai uses Marketo to automate lead scoring, create landing pages and forms, and manage programs and emails. Though an incredible amount of information about each lead has already been transferred to Salesforce and synced to Marketo, Marc created a way to cleanse the leads and add further information on each lead using a native Workato app called People Task.\n\n\"bar_mk<\/a>\n\nMarketo Recipe:<\/a> When there is a new lead in Marketo, Workato\u2019s People Task will send a data cleansing request to an employee, Dianne. When Dianne fills in the information and clicks \u201capprove,\u201d Workato will update the lead with the new information in Marketo.\n\nMarc has asked People Task to request further information on each lead. First, Dianne will determine if this is a real lead or spam. Then she will fill in more information on the lead that will be useful for the team, such as the lead\u2019s LinkedIn profile URL, their job title, industry, and city. This human review process not only cleanses the lead pool of bad leads, but enriches the available data. All of these preliminary pieces of information are things that a salesperson might individually research before a phone call, but this automates the information gathering process so that it is always on hand and digitally recorded for more powerful data comparison.\n

Step 3: Keeping Track of Progress with Marketo & Slack<\/b><\/h4>\n\"marketo\n\nNow that enough information has been compiled for a truly 360 degree view of H2O.ai\u2019s leads, Marc likes to share their findings in Slack by category.\n\n\u201cThe Slack recipes are to create visibility to the rest of the company, says Marc. \u201cFor example, I have a recipe that, whenever a new lead is created, we post it to the Slack channel. It helps the rest of the company see that leads are being generated and also helps us check that everything is working.\u201d\n\nMarc has Workato pushing 3 types of notifications to Slack:\n\n\"bar_mk<\/a>\n\nSlack Recipe 1:<\/a> When there is a new lead in Marketo, Workato will post a message to the channel \u201cLeads\u201d in Slack.\n\n\"bar_mk<\/a>\n\nSlack Recipe 2:<\/a> When there is a new Qualified Marketing lead in Marketo, Workato will post message to the channel \u201cCustomer MQLs\u201d in Slack.\n\n\"bar_mk<\/a>\n\nSlack Recipe 3:<\/a> When there is a new Qualified Marketing lead for an existing customer in Marketo, Workato will post message to the channel \u201cMQLs\u201d in Slack.\n

Step 4: The impact of Workato\u2019s Workbot for Slack<\/b><\/h4>\n\"using\n\nAn extension of this workflow is to command it through the new Workbot for Slack<\/a>. It takes Marc\u2019s comprehensive growth hacking system and makes it commandable through the Slack chat window.\n\n\"Marc<\/a>\n\nLet\u2019s say a member of the social media team messages Marc on Slack to tell him that a certain customer tweeted at H2O.ai wishing for a product capability. Without leaving Slack, Marc can make a note of it in Salesforce by simply asking Workbot to create a new note on the customer\u2019s Salesforce profile. He can later use this information to upsell the customer. Workbot makes H2O.ai\u2019s incredible integration ecosystem even easier to take advantage of.\n\n\"slackbutton\"<\/a>\n

Hundreds of Hours Saved = Thousands of Leads Gathered<\/b><\/h4>\nThe workflow that Marc has implemented has supported huge growth for the company. In just 3 months, 4.6 thousand leads have been cleansed with Workato – a system that saves H2O.ai 5-10 hours every week. By utilizing Workato\u2019s people task app and flexible recipe building platform, Marc\u2019s team can use custom integrations to perform tasks like data cleansing and product usage recording without an IT team.\n\n\u201cWorkato saves us time, eliminates manual data entry, and saves money,\u201d says Marc. \u201cWithout our recipes, we would either have to hire people to integrate our apps for us, or pay for an enterprise grade solution – which is a lot more expensive.\u201d\n\nBy syncing H2O.ai\u2019s cloud apps, Marc\u2019s team is able to painlessly process hundreds of a leads a day. They use the full 360 degree view provided by the integration to make well informed and data driven decisions, ultimately converting the most leads to paid customers. So what\u2019s the secret to successful data driven marketing? It may be to hack into your own workflow first!\n\nAre you using Workato\u2019s custom apps like People Task and Clock in interesting ways? Let us know in the comments or shoot us an email at info [at] workato.com.\n","protected":false},"excerpt":{"rendered":"

Big Data and Machine Learning – two phrases that most people have heard before. Fewer, however, can claim to understand exactly what it does and how it works. That\u2019s H2O.ai\u2019s specialty. They provide the algorithms and libraries for machine learning used by hundreds of leading companies from PayPal and Ebay, to State Farm and Cisco. […]<\/p>\n","protected":false},"author":7,"featured_media":11663,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[34],"tags":[],"class_list":["post-757","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-customer-stories"],"acf":[],"yoast_head":"\nHow H2O.ai Uses Marketo and Workato for Data Driven Marketing - Workato<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog2workato.wpengine.com\/how-h2o-ai-uses-marketo-and-workato-for-data-driven-marketing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How H2O.ai Uses Marketo and Workato for Data Driven Marketing - Workato\" \/>\n<meta property=\"og:description\" content=\"Big Data and Machine Learning – two phrases that most people have heard before. Fewer, however, can claim to understand exactly what it does and how it works. That\u2019s H2O.ai\u2019s specialty. They provide the algorithms and libraries for machine learning used by hundreds of leading companies from PayPal and Ebay, to State Farm and Cisco. 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Fewer, however, can claim to understand exactly what it does and how it works. That\u2019s H2O.ai\u2019s specialty. They provide the algorithms and libraries for machine learning used by hundreds of leading companies from PayPal and Ebay, to State Farm and Cisco. 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