Get pro tips on scaling an enterprise sales organization from lifetime sales leaders from Oracle and Veracode. Get exclusive insights here.
In her early and mid 20s, Ada achieved “hockey stick” growth within her own
career, eventually leading growth and marketing as the SVP of Marketing at
SurveyMonkey after starting out just 8 years earlier as a new college grad
in an entry level sales job at Microsoft.
In this post, Ada shares a few frameworks that anyone can use to trigger a
high growth inflection point in their career.
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According to virality expert Jonah Berger, a marketing professor at Stanford University, the key to viral content is emotional arousal, particularly that evokes high-arousal emotions, like joy or fear. However, a new research by Jacopo Staiano of Sorbonne University and Marco Guerini of Trento Rise
How do the top SaaS companies on the planet win enterprise deals? We analyzed 1,000 emails and voicemails to find out. Learn more here.
Prediction 1: By 2021, Privacy Will Have Been Redefined from “the Selective Sharing of Data” to “the Value of Data” and Digital Marketplaces Will Have Emerged That Enable Consumers to Provide Data in Return for VIP Services, with up to 10% of Consumers in Developed Countries Participating
Prediction 2: By 2021, at Least 15% of Businesses’ Standard Customer Experience Decisions Will Be Handled by Algorithms as Companies Shift from Person-to-Person (P2P) to Machine-to-Person (M2P) Engagement and Transactions
Prediction 3: By 2020, 20% of Marketers Will Share Customer Experience Budgets, Processes, Metrics, and Compensation with All Other Customer-Facing Functions in the Enterprise Including Sales, Finance, Fulfillment, Customer Service, and Contact Center
Prediction 4: By 2019, 80% of B2B Marketers Will Have at Least One Account-Based Marketing Campaign in the Field
Prediction 5: By 2019, Available Inventory in Marketing Databases Will Shrink by 40%
Prediction 6: By 2021, 70% of Digital Advertising and Marketing Will Be Augmented or Automated Using Artificial Intelligence and Machine Learning
Prediction 7: By the End of 2021, 75% of Large B2B Events Will Personalize Participant Experiences Using Human-to-Machine Technologies; Augmented Reality, Sensors, and the Use of Biometric Data Will Propel Events into Brand Differentiating Powerhouses
Prediction 8: By 2021, 25% of B2B Companies Will Reshape Their Marketing Organizations into Nonhierarchical Structures, Aided by Collaborative Technologies; New Forms, Such as Circles, Squads, and Tribes, Will Help Companies Break out of Silos and Provide Better Customer Experiences
Prediction 9: By 2020, 60% of B2B CMOs Will Be Held Accountable for at Least One Customer-Oriented Metric as Companies Accept Customer Centricity as Core to the Marketing Mission; Metrics for Loyalty, Advocacy, and Quality Take Their Place Alongside Revenue-Related Metrics
Prediction 10: By 2020, 50% of B2B Companies Will See a Reduction in Sales, General, and Administrative (SG&A) Costs of up to 15% as More Cost-Effective Automated and Algorithmic Marketing Eclipses the High Cost of Selling
Learn how bots (AI) are creating content for major media outlets and evolving into content marketing too – Content Marketing Institute
In a survey of Fortune 500 marketing professionals carried out by LiveWorld, 52% of respondents thought that advances in technology would allow them to engage in meaningful two-way conversations with their customers. Social media, messaging apps and, in particular, chatbots are seen as effective tools to usher in ‘conversational marketing’.
Conversational marketing is the shift away from brands trying to dictate to customers how to think and feel about products and services. Instead, through the use of chatbots, auto-responders and tech that integrates live agents, brands can actually converse with their customers in real-time, leading to personalised experiences and lots of lovely data on consumer intentions and behaviours.
What are the big spending trends within CMO’s “analytics” bucket?
Two areas stand out in our conversations with marketers:
Customer data platforms
Any talk of using AI and Analytics in the marketing mix or with digital marketing?
Most definitely. The three most popular areas: marketing-facing analytics, untargeted conversational agents and real-time personalization.
What are 3 to 5 key metrics that you recommend CMOs track?
• ROI of total marketing spend
• Market share versus competition
• Brand health
• Lifetime value to cost-of-customer acquisition cost ratio
We have also worked with marketers and agency leaders to identify where the knowledge and capabilities gaps exist.
1. Do you know all the key technology providers in your marketing and advertising tech stack and the basis on which they are engaged? Do you understand the cost drivers?
2. Have you assessed the technology skills gaps in your organisations and do you have visibility over what skills you are likely to need this time next year that you currently do not possess?
3. Do you know which agencies are responsible for you adtech solutions?
4. Do you know who owns the data if your data is held in a third parties systems?
5. How confident are you that when someone arrives on your website you know who they are?
6. What other non-marketing systems collect personally identifiable information about your customers and are you able to marry these up to data in your marketing tech stack?
7. Do you run programmatic advertising campaigns and who manages the programmatic buying desk, your employees or your agencies?
8. How integrated are your teams when they plan campaigns? For instance does your social desk talk to your search desk, and do they know what display campaigns are running in the market at any given time?
9. Does your direct marketing team have visibility of search, social and display campaigns?
10. Thinking of search, social, display and video do you know how your agency is structured and whether they have an integrated or disjointed approach to managing your campaigns?
11. Is responsibility for search, social and display split across agencies?
12. How sophisticated is your attribution modeling? Are you still relying on first last clicks and are you able attribute across multiple formats and channels? And perhaps more importantly, how quickly can you respond to the insights derived from your models?
If you can answer yes to most of these questions positively you are doing better than many of your peers.