Onboarding project | Clay
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Onboarding project | Clay

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Clay - Onboarding


About Clay

Clay is a data enrichment platform designed to enhance personalized outreach and lead generation. By integrating with CRM systems, it allows teams to collect, analyze, and act on real-time, enriched data from multiple sources, making it easier to personalize marketing efforts and scale outreach. With automation and a focus on data-driven insights, Clay helps sales and marketing professionals streamline engagement and boost efficiency in customer acquisition.

Unique features of Clay

Clay allows for the combination of over 50 data sources, web scraping, and AI messaging to enrich data and automate outbound marketing efforts on a large scale. Some other features of Clay include:

1. Chrome Extension for Lead Generation: Through Clay’s Chrome extension, users can extract leads from any website, instantly creating lists with names, companies, and contact information.

2. Seamless Integration with HubSpot: Users can create lists using information already available in their HubSpot, facilitating efficient lead management.

3. Extensive Integrations for Data Enrichment: The platform supports over 50 integrations, enabling users to find comprehensive data and enrich their contact lists further.

4. Automated Search and Data Enrichment: Clay automates the process of Googling, enriches data from multiple sources, and helps in identifying relevant keywords, all within a single platform.

5. Access to Unique Data: It provides access to data that might not be available elsewhere, allowing users to combine it with their preferred data sources for more effective targeting.


User Goals Deep Dive

ICP



ICP 1 (Large/medium Enterprise)

ICP 2 (Mid Market)

ICP 3 (StartUp)

Company Size

5000+

>1000-5000

>100-1000

Decision Marking bench

End User: Sales/Lead gen team

Decision Maker: Head of Marketing

Influencer: Sales Head/Growth Lead

Blocker: Finance/Tech team

End User: Marketers

Decision Maker: Head of Marketing

Blocker: Finance

End User: Marketer

Decision Maker: Founder / Marketing lead

Blocker: Finance


Company Revenue/year

>$5M

>$1Mn - $5Mn

<$1Mn

Time v Money

Time > Money

Time > Money

Money > Time

Martech tools utilized in workspace

Yes (Salesforce suite, Hubspot CMS, Marketo, SEM/SEO, Graphic Design, Google Analytics, Google Ads etc.)

Yes (Hubspot, Mailchimp, Graphic Design, Google Analytics, Google Ads etc.)

CRM, Google Mail, Google Analytics

Frequency of use

Daily

Daily

Weekly

Most used feature

  1. Data research and AI research agent
  2. Integrating multiple data sources
  1. Data research and AI research agent
  2. Personalized data outreach
  1. Lead gen
  2. Email Campaign automation

Most Valued Feature

  1. Workflow automation
  2. Data segmentation for personalized outreach
  3. Real time data updates
  1. Workflow automation
  2. Data enrichment & aggregation from multiple sources
  3. Real time data updates
  1. Workflow automation
  2. Real time data updates

Motivation to adopt

Seamless integration with Martech stack and AI research agent, minimized manual work

Data enrichment, AI Research agent, minimized manual work

AI Research agent and Data enrichment

Organizational Goals

Scale Sales and marketing outcomes through workflow automation benefits

  • High level of personalization in outreach without heavy workload
  • Efficient lead prioritization both inbound and outbound

Grow marketing outcomes by 2x

  • Create targeted list of potential customers
  • Personalized Outbound & Inbound marketing
  • Automated CRM and data analytics

Define Marketing outcomes

  • Generate leads according to ICP
  • Maximize Outbound outreach
  • Set up CRM



JTBD



Goal Priority

Goal Type

ICP 1 (Marketing/Growth Lead at an Enterprise)

ICP 2 (Marketing lead at a Mid size org)

ICP 3 (Marketing manager at a StartUp)

Primary

Functional

Accelerate GTM outreach. Increase workplace efficiency through automation and integration with existing Martech stack

Grow marketing outcomes faster with workflow automation and AI supported research

Quality lead generation for personalized outbound outreach

Secondary

Financial

  • High ROI due to faster and better Inbound and Outbound outreach
  • Better ROI with faster enhanced customer engagement
  • Quicker ROI due to high conversion rate

Tertiary

Personal

  • Maximize output by minimize manual, tedious work
  • More time dedicated towards experimenting and implementing multiple growth strategies
  • Maximize output by minimize manual, tedious work
  • Freed up time can be directed towards other important work at hand
  • Ability to create your presence in the marketing faster
  • Time saved can be used in resource development and feature improvement

Least Priority

Social

NA

NA

NA

Validation from User Interview

Question 1: Why did you/your organization decide to use Clay?

Akinola - Sales and Marketing Specialist (Early Stage Start up)

[Stage of awareness about Clay - Product Aware]

Clay Usage - Started using 3 months ago

"Clay makes gathering data from multiple data sources very easy. I can upload my own list and use Clay to further refine that list. With Clay data segmentation has also become very easy. I just need to add preferences specific to my ICP and the system curates a high quality list from that. So, quality of data and amount of data accessible after using Clay is the reason why I decided to use it."

Gary - Head of Marketing (Mid Size Org)

[Stage of awareness about Clay - Product Aware]

Clay Usage - Started using 4.5 months ago

"Real time data enrichment to personalized email outreach Clay has it all. Its just a no brainer with the simple table interface and the hundreds of integrations and API possibilities"

Faheem - Outsourcing Specialist (Mid Size firm)

[Stage of awareness about Clay - Product Aware]

Clay Usage - Started using 6 months ago

"We wanted to customize email outreach for our inbound and outbound customers at different stages of funnel. That's when we came across Clay and gave it a try and we haven't looked back since."

Question 2: Which Clay feature do you use the most.

Akinola - Sales and Marketing Specialist

"I use their automated inbound and outbound feature the most. In my role I have to handle large no. of outbound emails campaigns, Social Media Ads and LinkedIn InMails. My goal is to maximize customer outreach without compromising on content and quality of each campaign. Clay's workflow automation really make my life simpler."

Gary - Head of Marketing

"We are using its entire suite of features and solutions. Honestly, we use all of it and it's really helps us make a very good impression in front of our clients."

Faheem - Outsourcing Specialist

"I really like the idea of Credit based marketplace. Now I just have to apply Conditional formulas and I can save a lot credits"

*Note: Clay has a unique pricing strategy where users can purchase or earn "credits" to access specific data or premium features on a flexible, pay-as-you-go basis. This model allows users to scale their usage according to business needs without committing to higher-tier subscriptions, making it particularly appealing to small businesses or organizations with fluctuating data demands. I'll talk more about it in Onboarding teardown section.

Question 3: What specific problem does clay help you solve?

Akinola - Sales and Marketing Specialist

"Clay really helps me solve the problem to undertaking repetitive tasks. It's easy integration with me email automation system really make my life easy by segmenting and targeting the right audience by the right campaign."

Gary - Head of Marketing

"I love how easy it is to create custom workflows for outreach with Clay."

Faheem - Outsourcing Specialist

"With Clay everything is unique and perfect. I can easy manage multiple tasks by using their workflow automation feature."

Onboarding Teardown


Clay - Onboarding Teardown.pdf

P.S. Unfortunately, I could not explore integrations as I don't have a personal CRM/CMS to integrate.

Summary

What worked well

  • Simple and straightforward sign up process, no extra step for email verification (Aha moment)
  • Free Credits to explore most of the product features
  • Cognitive biases: Priming, IKEA effect, Goal gradient effect
  • Impressive library of product demo videos

What didn't work well

  • No anchoring for users at any stage of onboarding. Seems as if they are not trying to build and excitement in user as they progress through onboarding stages
  • Onboarding questions are inadequate and don't really affect the post onboarding experience
  • The blank canvas right after onboarding is intimating to say the least. A big turn off for me personally. without a guided tour first 30 mins with the product was super confusing, a new user like me would get intimidated without it. Thanks to demo videos there is some direction for the users.
  • Demo videos are just dumped in the Clay University. There is no way a user can pick which video to watch at random which is super frustrating

What they can improve

  • UX and UI need to be made more interactive and dynamic.
  • Users on clay are expected to perform some really complex tasks. Embedding internal demo links or having a chatbot on the screen for immediate problem resolution could be a really great addition
  • The question during onboarding should lead to customizing user experience

























Defining Activation

Hypothesis 1: User performs data enrichment of at least 1 table within first 30 mins of onboarding

Explanation: This metric is crucial for understanding the effectiveness of the onboarding experience in driving early product engagement. In Clay's context, getting users to perform data enrichments is a strong indicator that they understand the product's value. If users complete this action promptly, it suggests the onboarding flow successfully conveys the product's value. Slow engagement rates may indicate onboarding improvements are needed, such as clearer instructions or highlighting the feature’s benefits.

Hypothesis 2: User successfully sends AI generated personalized emails for leads generated using Clay's data enrichment within 1 hour of Onboarding

Explanation: This metric is important to understand if user trusts the enriched data and is enjoying the AI capabilities that goes into building the email template. Successfully sending emails suggests that user is satisfied with the platform capabilities and lead to better retention.

Hypothesis 3: Users have integrated their existing CRM (Salesforce/Hubspot) with Clay within 15 mins Onboarding

Explanation: This metric suggests that user believes in Clay's capabilities and is eager to upgrade their existing data quality. This also indicates early adaptability of Clay's features. Inability of users to integrate existing CRM would indicate that user is not clear about Clay's value proposition which is possible due to inefficient onboarding flow.

Hypothesis 4: User exhausts 1000 free credits within 1 week of joining

Explanation: This metric indicates that user is actively engaged with product offerings and their JTBD is effectively accomplished using Clay's product features. Less credit usage indicates sub optimal engagement with the product and Clay should think of upgrading UX to boost engagement

Activation Metrics

Metrics to evaluate effectiveness of Onboarding flow

Qualitative Metrics

  • Forum Interaction: Posts, replies and comments on Clay's slack community can be used to gauge user sentiments, engagement and pain points
  • CTA Clicks: A/B testing CTA's by changing positioning of CTA or content could help determine what's driving more activation
  • Product Reviews: Going through product reviews could help identify initial problems users might be facing linked to onboarding
  • CSAT/NPS: Use these surveys to identify customer experience and likely hood of them becoming an influencer for the product.

Quantitative Metrics

  • D1, D7 and D30 retention: Implement retention analysis tools to understand retention rates. Find out what stage of onboarding where major drop off happens. Reimplement strategies using this analysis.
  • TAT (Time to load a page): Tracker page load times and optimize for better results. Track user engagement after making improvements
  • Activation rate: Analyze if activation hypothesis are holding true or not. if not, Identify areas of improvement in customer journey and optimize steps for better user engagement
  • % of users subscribing after 14 day free trial: Analyze no. of drop offs after 14 day trial period and if possible engage with such users to understand pain points





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