Q1 2019 Update: This product never launched. A different product called Owler Pro is currently in beta test.
Owler is now promoting its first paid service, Owler Pro, which will be launching in a few months. Owler Pro is priced at $9.99 / month but will be discounted to $4.99 / month for the first 1,000 users (lifetime guaranteed pricing). The service is offering the following additional features:
Go straight to article, bypassing the Event Page.
Skip Owler recommended content such as competitors of your followed companies
Follow groups of companies
Customize the displayed instant insights (event triggers)
As I haven’t seen advertising on Owler, I’m assuming that the free version will become a sponsored platform. Most of these features are fairly insignificant, but at $4.99 per month the pricing is reasonable to prevent advertising and avoid the Event Page click-through.
Subscriptions are available from the following landing page.
If you haven’t checked out Owler, the free service provides company profiles, M&A and Funding histories, competitor lists, event alerts, and user-based surveys.
Sales Intelligence vendor RampedUp added account scoring to their platform. Other new features include saved searches for leads and trigger events, lead and trigger event downloading to CSV files, importing corporate URLs into searches, and the auto-population of decision makers and preferred technologies.
The new scoring doesn’t employ predictive analytics, but rates accounts on a zero to five basis, with a star awarded for each of five conditions:
One of top 5 industries based on the client roster
One of top 5 market segments based on client employee count
Installed Technology based on products important to the client’s sales process
Contacts present with preferred title based on selected buying committee
Recent trigger event article showing activity over the last 90 days
“Two things that have always set RampedUp apart from other sales intelligence platforms have been the tailored nature of the data we provide,” said CEO Scott Miller. “Our customers are exposed to contacts that are unique to their buying committee. We also share look-alike customer data based on a Salesforce.com sync that pulls customer data into our platform in near real-time. RampedUp also tracks triggering events and installed technology used by companies to help sellers understand their prospects better. All this information is used to create our unique scoring methodology.”
British sales intelligence vendor Artesian Solutions announced that it received £3.5M in expansion capital from Columbia Lake partners. The funds will be used to refinance current debt obligations and provide working capital for “further growth and expansion.” The refinancing also provides better terms and business flexibility after the firm reached a profitability milestone in July.
Artesian has begun integrating artificial intelligence into its tools. Earlier this year, it launched Insight Agent, “the first step in a series of intelligent chat bots aimed at automating many of the tasks carried out by B2B professionals” along with Arti, the firm’s interactive digital assistant.
“This is an exciting milestone in our company’s history and positively reinforces the leadership position we have attained. We are constantly looking at the ‘what next’ scenario, pushing boundaries to establish our business as one of the leading innovators in B2B software for commercial teams, this has paved the way for our new risk mitigation capabilities which will be released in the New Year.”
Artesian Solutions CEO Andrew Yates
The firm has recently shifted its positioning from social selling to “A.I. powered sales intelligence.”
“Social Selling sits at the heart of Artesian’s founding principles,” explained Yates. “But as sales best practice has evolved, so has Artesian. Our goal is to be at the forefront of technology evolution for enterprise B2B, delivering a suite of A.I.-powered tools to make prospecting, engaging and closing deals easier. As our forthcoming risk mitigation capabilities demonstrate, we will continue to evolve to ensure we remain a trusted partner of our enterprise customers and to maximise the impact of their business relationships”
Artesian offers products for both the British and American markets.
Back when I was a product manager, I used to conduct sales training classes. I often opened up the session by asking the question, “Who is your biggest competitor?” The reps invariably listed a company or two they had heard over the prior day and a half of training. Even seasoned reps would answer the question incorrectly.
Unless you are in a duopoly or there is a competitor that controls half the market, your biggest competitor is probably NO DECISION. Either the purchasing decision is kicked down the road or no funding is found. It may also be that the opportunity was poorly qualified to begin with.
Sales reps no longer control the conversation due to the informed buyer who leverages the Internet and social media in order to research vendors prior to contacting them. This is one of the reasons that marketing is looking at digitally influencing anonymous individual on the web via Visitor ID, SEO, SEM, and Programmatic. Sales reps are also confounded in their sales efforts by a second change in purchasing patterns. B2B budgetary decision making processes have become more complex.
Budgetary centralization and committee-based buying decisions have increased the number of decision makers in the purchasing process, resulting in a greater likelihood of no decision. According to a Forrester survey of IT sales reps, 43% of lost deals weren’t to competitors but to a category titled “lost funding or lost to no decision: customer stopped the procurement process.”
Furthermore, the rise of cloud computing has shifted budgetary decision making authority away from the CIO to the heads of various functional departments. Purchasing decisions are being compared to a broader set of non-related purchases from across the organization. It is therefore critical that sales reps “understand and navigate complex agreement networks and processes within the buying organization that span different altitudes and functional roles,” blogged Forrester Sales Enablement Analyst Mark Lindwall. “Because decisions are more cross-functional, every dollar is compared against how it could add value in potentially completely non-related areas of investment.”
Thus, sales reps need better tools for identifying who to engage and when best to engage. They also need to be better informed about companies, individuals, and the industries into which they sell. In short, they need to know who to call, when to call, and what to say. They need to quickly navigate what Forrester calls agreement networks to establish relationships across multiple levels and job functions at the organization.
Fortunately, Sales 2.1 tools provide rich biographies and full family trees for navigating these networks. Users can target specific job functions and levels across the corporate hierarchy, research the appropriate individuals, and reach out to them via social media, email, or phone.
Newer ABM tools help identify the Ideal Customer Profile (ICP), score leads based on the ICP, and call out similar accounts and contacts that are not on the company’s radar. Thus, it’s not just about selling more intelligently based on insights, but targeting and prioritizing one’s sales efforts more effectively.
Sales triggers assist with identifying executive changes, M&A events, product launches, and other reasons for reaching out to individuals. Triggers can also indicate an expanding opportunity or that a proposal is potentially at risk due to company or market dynamics.
And yes, sales reps should research both the company and the executive. They need to understand the key trends in the prospect’s industry, why their last quarter was soft, and what does the executive muse about on social media. While such facts may not be immediate hooks, they provide context and potential talking points down the road. It also shows that the rep is willing to invest time in understanding the exec, her company, and the environment in which she is making decisions.
There is an opportunity cost to poor targeting, prioritization, and account planning. It shows up as No Decision in your CRM, slow deal velocity in your pipeline metrics, and disappointing sales growth.
Recently, I had the opportunity to sit down with Artesian Solutions CEO Andrew Yates and discuss topics including artificial intelligence and risk tools they are integrating into their social selling service. This is the second in a series of interview excerpts I am publishing this week. On Monday, Andrew discussed Artesian’s 2016 entry to the US market.
Michael: You have recently begun to introduce AI capabilities into your platform.
Andrew: What we’ve done in our first incarnation of bot-driven AI is we’ve created something that we call an “insight agent” that, through an API into Salesforce, can build you a view of threats and opportunities within your pipeline. Which, in itself, is pretty damn useful; much more useful than a forecast report or a dashboard which is the way you see it in Salesforce today. Then we’ll lay out all of those deals by stage and value and overlay today’s new social and demographic context on top. That’s pretty useful.
With the latest release, we’ve created a bot which literally reads and interprets the news in relation to the stage of the sales process that you’re at. And, where it sees a particular trigger that has meaning in relationship to a particular stage, it flags that. Most organizations have implemented the concepts of sale stages when they’ve implemented CRM.
Typically, when I ask somebody, “how many stages do you have?” They’ll say, “between five and seven.” The system automatically builds you a view depending on how you’re implementing Salesforce, however many stages you’ve implemented and what you call them. Then what the bot does, is it crawls all over the news looking for things that could impact those opportunities at the stage they are at.
Let’s say, I’ve got a six-stage process where stage six is closed and stage five is a negotiation. Artesian’s insight agent finds out about a CIO who has left the business. The insight agent will notify the user that there’s a potential problem with the deal in their pipeline. The agent will tell them why there is a problem and how it’s been categorized. There’s half a dozen next-best actions that we bundle up with the insight as we deliver it. That’s our first attempt at taking the concept of machine-based learning and natural language processing, combining it with an AI bot, and trying to make that useful for customers.
We’ve introduced the ability for the user to customize their own topics, keywords, and trigger events. We offer a bunch out of the box, and we also wrap a managed service around it and easy implementation to every customer.
We’re also seeing a lot of activity in the “RegTech/RiskTech” arena with the growth of cybercrime and terrorism, and the sensitivity around regulation of any financial, FCA [UK Financial Control Authority] regulated [business]. There are regulations that organizations need to comply with. We’re increasingly being asked by our financial services customers, particularly the banks, to get deeper into being able to provide those capabilities inside of Artesian.
Organizations want to mitigate risks. They want to fall within the arena of whatever the regulation is and comply with the law, but they also want to exploit the technology as best they can to make sure they write the best business that they can. We’re doing some work at the moment in conjunction with one of our demographic data suppliers. What we’re looking to do is extend the capabilities in Artesian to provide some of the capabilities that our customers are asking for in the RegTech / RiskTech environment. We’re going to introduce risk agents. Risk agents look at the real-time present and it looks at the past. It specifically looks at things that are in-line with the regulations and also in-line with the stated risks that the customer has mapped out.
What that translates into is a service that is not only compelling in terms of customer acquisition, customer retention, and yield, but also compelling from a kind of, you don’t go to jail if you’re using Artesian because it’s doing the regulation and risk job for you as well.
Michael: When you say risk app, are you talking more about supplier risk, compliance risk, credit, reputational?
Andrew: There are 40 or 50 pretty big companies doing this thing already. What we’re talking about is company-centric intelligence, but also the people associated with that company and the intelligence that we’ll need to derive around whether something is risky or not. It could be the performance of a business. It could be some adverse news in relation to that performance. Or it could be that an individual who has a beneficial ownership, more than a 5% stake in a business, happens to be on a naughty list in terms of the PEP [Politically Exposed Persons] or sanctions.
At the moment, we have risk triggers in the opportunity view. They’re not compliance risk triggers. If you’re going to a client, they need to know about key beneficial ownership.
Michael: Is that part of the opportunity view or is that a new type of view?
Andrew: A new type of view. We have risk triggers in the opportunity view, but they’re not compliance risk triggers. If you go into a bank, they need to know about beneficial ownership, adverse news going back three years, PEP, sanctions, real-time alerts from stock exchanges. None of that is feasible within a generic instance of Salesforce.com in an opportunity view.
Michael: It sounds you’re looking to move beyond the sales and marketing teams to start to get to into things like onboarding, KYC [Know Your Customer], AML [Anti-money Laundering], PEP, and other compliance aspects that really go into monitoring of clients as well as the initial onboarding.
Andrew: Yes, if you go back to the whole customer curious mantra and deep relationship management, we like to say that we put the R back into CRM. We are all about that relationship.
The conversations we are having with our large customers would indicate we are on the right track with that.
The interview will be continuing over the next few days with discussions of what it means to be a “customer curious” business and how Artesian maintains a very high engagement rate amongst its users. Monday’s blog discussed Artesian’s 2016 entry into the US market.
Recently, I had the opportunity to sit down with Artesian Solutions CEO Andrew Yates and discuss topics including their 2016 entry into the US market. Artesian provides a social selling solution for the UK, US, and Canada. Their sales intelligence is delivered via a web browser, Salesforce.com, and their Ready mobile app.
Michael: You launched in the US exactly a year ago, officially. How’s your product buildup going?
Andrew: It’s going pretty well. I have to say, most of the progress has been in the last three to six months, because it took us a couple of releases to really get the US edition right. We learned quickly that there were some nuances in terms of the way sales teams work together in the US. The US sales focus is a very contact-centric mechanism. We realized pretty quickly because contact data is so sparse and difficult to get a hold of. We doubled down on our efforts to implement. We’ve got three contact data intelligence aggregation partnerships. We got those into the product pretty quickly which dramatically enhanced not only access to the contact intelligence but also the social profiling capabilities.
Then in the third release, we were able to start to bring in some refinements. In the States, news gets syndicated a lot more than it does in the UK, in Europe. The same story you can get syndicated and copied many, many times. We were getting an unacceptable level of duplication, and, even if the stories were similar, we hadn’t trained the algorithm to discard similar stories. Only stories that were the same.
We rewrote the algorithm and we created the ability to group stories which are similar together. What we do now is we publish one and then underneath it there’s a little icon that says similar stories. Again, these are things you don’t learn until you deploy the software for real [in the US], and customers start beating it up and giving you their feedback.
Michael: Can you provide any growth stats for the US?
Andrew: We’re not publishing the numbers at that kind of level, but in percentage terms it’s huge because we started from virtually nothing. It’s growing steadily. The majority of the growth is still coming in the UK. I don’t think we’re backward in coming forward in terms of explaining that we’re a UK-centric organization with relationships in the US and capabilities in the US. In the last eight weeks. we’ve had a number of pretty decent large corporate opportunities land and I don’t know if that’s as a consequence of one of our competitors unraveling.
Michael: How else do the US and UK markets differ?
Andrew: A big learning for us was how much customers didn’t want to meet face-to-face. We weren’t ready for that. We need to go visit these customers, and we would be flying all over the place. I think it was four months in and somebody sat me down and said, “You know you’ve got to stop this flying around stuff.” Nobody expects that. People just expect to do things on the phone. From a kind of scaling standpoint, we’re doing a bit of scaling locally, but we’re also doing a bit of scaling remotely because to the customer, as long as the time zones are aligned, it doesn’t matter where you are.
The kind of sales pursuits we’re getting more involved in are the ones that are better suited to our sweet spot. We’ll walk away from opportunities that we think are better suited to others. We might even recommend others.
The interview will be continuing over the next few days with discussions of artificial intelligence, what it means to be a “customer curious” business, and how Artesian maintains a very high engagement rate amongst its users.
Ignite Technologies will be acquiring news analytics vendor FirstRain as part of a pre-negotiated, Chapter 11 corporate reorganization. The acquisition is expected to close by the end of July subject to court approval. The acquisition is being funded by Ignite’s parent company, ESW Capital.
FirstRain provides a set of company-specific insights and analytics derived from news, press releases, filings, Twitter, and other open web content sets. FirstRain applies a high-precision taxonomy to the “business web” which spans companies, industries, geographies, and business topics. For the past few years, FirstRain has been the source of company and industry news for Dun & Bradstreet (Hoovers Classic, First Research, D&B Direct, and D&B 360), Mergent, and other OEM partners. FirstRain also provides integrated solutions on Salesforce, Microsoft Dynamics, and Microsoft SharePoint.
“FirstRain’s leading-edge, analytics technology providing actionable insights for its clients’ sales and marketing teams strengthens Ignite’s portfolio of sales and marketing solutions,” said Ignite’s CEO Davin Cushman. “Additionally, with the close of the FirstRain acquisition, Ignite will be materially expanding our foundation of sales and marketing solutions that Chief Marketing and Chief Revenue Officers can depend on to drive their business.”
Once the acquisition closes, FirstRain will be part of the Ignite Prime product offering which provides access to enterprise software by simply paying a maintenance fee on at least one Ignite standard solution.
“Ignite has a proven track record of buying, strengthening and growing the companies it acquires, and FirstRain is excited about the potential for our world-class teams to carry the FirstRain solutions and customers forward,” said YY Lee, Chief Executive Officer of FirstRain. “Through this acquisition, Ignite’s foundation of success and innovative programs, including their unique Ignite Prime program, extends the value proposition even further for FirstRain customers, now and into the future.”
DataFox grew its year-over-year annual recurring revenue by 150% and trebled its presence at Fortune 500 companies. According to the firm, “Its exceptional growth has sparked a major hiring initiative as well as plans to secure a larger San Francisco headquarters office to accommodate a growing team of engineers and data scientists.”
The DataFox CRM Orchestration service provides company profiles and insights for two million companies. The firm collects 100,000 signals each week across seventy signal categories. DataFox supports both an initial batch enrichment and ongoing data refreshes.
A unique feature is their coverage of conferences which helps marketing departments identify which conferences to attend and assemble conference based prospecting lists. The service also captures major lists such as the Inc 5000 and Fast 500 along with niche lists.
“This is an incredible acceleration point. Customers are seeing the immediate benefits of investing in our solutions that automate grunt work and help guide better, faster decision-making,” said DataFox CEO Bastiaan Janmaat. “DataFox has been able to improve the way people approach their jobs in sales, marketing, and other growth functions by helping them find, orchestrate, and leverage CRM data so they can focus on what matters most – building relationships and growing their business.”
Along with Salesforce, DataFox provides integrations with Marketo, Google Chrome, and Slack.
Sales and Marketing intelligence vendor DiscoverOrg announced their latest database earlier today. The new Startup and SMB dataset covers more than 60,000 small and mid-size businesses and 400,000 executives. The initial North American coverage profiles companies with between 50 and 1,000 employees.
All of the contacts are editorially verified and will be maintained via the same sixty-day review cycles as their other contacts. Executives cover “all key departments, including IT, Engineering, Marketing, Sales, Finance, HR, and Operations.”
“DiscoverOrg’s data difference is its team of 250+ researchers who constantly augment and verify the data in our platform,” notes Henry Schuck, DiscoverOrg CEO. “Unlike other vendors that provide SMB lists with thousands of irrelevant contacts, companies, and incomplete and duplicate records, the DiscoverOrg Startup & SMB dataset is as rich and accurate as our enterprise data.”
CMO Katie Bullard said that DiscoverOrg has “aggressive plans” to invest in SMB dataset development due to customer benefits.
With more companies, our researchers won’t have to skip over Triggers that they find through their research. We’re able to return a greater number of companies that use a certain technology, and our predictive tools like AccountView and DealPredict have larger reach with more matched accounts.
DiscoverOrg CMO Katie Bullard
The initial dataset is limited to North America as that is where they have the greatest current demand, but DiscoverOrg plans to internationalize the Startup and SMB dataset in the future. While the goal is to cover all firms with at least 50 employees, the initial dataset consists of firms requested by their customers.
The press release noted how difficult it is to find reliable, actionable intelligence for SMB sales teams. Along with company and executive profiles, the database provides 6,000 “research verified buying triggers” per month.
In smaller businesses without media coverage or press releases, almost none of the buying intent triggers that DiscoverOrg gathers – including planned investments, key projects, personnel moves, and internal spending budgets – is made available to the public. This is where DiscoverOrg’s team of researchers provides a clear advantage: While there are millions of registered companies in the US, the difficulty is identifying and gathering intelligence on the small percentage of these companies who are 1) legitimate entities and 2) have true spend / budget. By continuously verifying contact info, conducting interviews, and engaging in research activities, DiscoverOrg overcomes the shortcomings of web-scraping for hard-to-find data on the SMB space, ensuring the intelligence customers receive is highly relevant and immediately useful.
DiscoverOrg Press Release
“Sales and marketing teams that want to reach the SMB market have had a very difficult go of it,” said Nancy Nardin, President of advisory firm Smart Selling Tools. “There’s been a real dearth of verified, accurate data on SMBs, quite simply because it’s harder for data companies to get. DiscoverOrg is solving for this very real pain point by bringing their best-in-class research verification model to the SMB space. You can expect the same high-quality data you get from DiscoverOrg’s broad datasets. ”
Across all databases, DiscoverOrg now covers 1.5 million executives and 90,000 companies. Customers may purchase access to the full database or various databases by job function, company size, or region.
Sparklane, which describes itself as “a publisher of sales intelligence SAAS solutions,” announced that it received a €4m funding round from XAnge and Entrepreneur Venture Investment Fund. The round raised its total funding to €7m. XAnge also participated in Sparklane’s previous funding round.
“We were won over by Sparklane’s disruptive positioning and the impressive performance of its management team, prompting us to offer them our renewed support as we participate in this fundraising initiative alongside Entrepreneur Venture,” stated Guilhem de Vregille, Deputy Director of XAnge.
The round allows Sparklane to continue its European expansion. The French company established itself in the UK in 2016 and is currently eyeing the German market. The funding will also be directed towards expanding its artificial intelligence capabilities, and growth in their sales and R&D teams.
According to Chairman Frédéric Pichard, the funding round is a “real vote of confidence,” in the company. “Our goal remains the same: to help marketing and sales people identify their future customers more quickly using Artificial Intelligence.”
Sparklane offers predictive lead scoring and prospecting tools for sales and marketing teams in the UK and France. Their Predict platform processes client CRM data to define an Ideal Customer Profile (ICP), apply predictive lead scores, and identify look-a-like prospects.
Sparklane supports nearly 350 clients across banking, insurance, technology and business services. The firm was listed in Deloitte’s 2016 EMEA Fast 500 list of technology companies with 265% revenue growth between 2012 and 2015 (three-year CAGR of 54%).