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Inderdeep Singh

Harman M.

Digital Marketing Manager

SUMMARY OF EXPERIENCE

β€’ Harman has ~5 years of B2B SaaS marketing experience, specialising in demand generation and performance marketing across Google, LinkedIn and Meta, and has spent the last two years managing a team of six at Emitrr.


β€’ At Venwiz, he grew marketing's share of revenue from 16% to 54% in six months, cut CAC by 40%, and built a webinar programme that drew 300-plus registrants from enterprise names including Tata Projects and L&T.


β€’ At Kratin LLC, he ran multi-channel campaigns across paid, email and retargeting, capturing 30-plus qualified leads per week at a 20% conversion rate, and advised senior leadership on marketing stack decisions involving HubSpot, Apollo and Mautic.

πŸ‘  What we loved about them

β€’ His experience with building AI tools: When asked about AI tools in the discovery call, he didn't name-drop ChatGPT and leave it there. He described an N8N workflow he built personally, involving pulling LinkedIn profiles and websites for a database of 10,000 contacts, generating individualised emails for every recipient, and then feeding open rate, click rate, and reply data back into the agent so it could iterate on subject lines and CTAs automatically.


β€’ He manages upward naturally: There was a moment in the technical interview where he was asked which metrics he'd present to leadership and he gave a clear, unprompted answer separating what he tracks daily from what leadership actually cares about. He said outright that leaders don't want to hear about CTR and impressions, they want to see leads, SQLs, cost per opportunity, and pipeline.


β€’ His motivation is genuinely aligned: Across both calls, his language around what energises him in a role was consistent and specific. He described his version of satisfaction as watching a company go from 10 leads a month to 250 or 500, and he brought this up multiple times without being asked to elaborate. He also explicitly called out that he gets restless when things are already set up and there's nothing left to build.

ℹ️  Things to be aware of

β€’ Has a 1 month notice period, which could potentially be reduced to 2 weeks.


β€’ Harman has ~1.5 years of Canva experience, some exposure to Figma, and no Adobe background. He mentioned that when he had no designer available in a previous role, he made it work using Canva templates and generative AI.


β€’ His current role involves leading a team of six, with execution handled by his direct reports. While he's comfortable with being in an IC role (as he has done it in previous roles), we feel there will be a period of adjustment as he moves from directing work to doing it all himself.

πŸ’‍♀️  Where he may need support

  • Although he lacks extensive experience with LinkedIn and Bing ads, his proficiency in Google ads suggests a high adaptability to new platforms.

πŸ‘©‍πŸ’»  Technical interview performance

Objective

​This candidate was invited to a 60-minute follow-up interview to assess their technical capabilities in more detail. During this interview, we assessed their critical-thinking skills, technical expertise, and overall conversational skills.

Technical abilities

β€’ Paid media knowledge and campaign execution [8.5/10]: He walked through a Google Ads campaign build in a logical, ordered way, covering keyword research, competitor analysis, campaign structure, asset creation, and tracking setup in a sensible sequence. His CTR benchmarks were accurate. He called out 1.1% as a problem for search ads where 5-7% is the norm, and his explanation of how sustained low CTR degrades ad rank over time was technically sound. The landing page versus lead gen form conversation was a highlight. He gave a clear rationale for each scenario based on platform behaviour, friction levels, and how irrelevant form fills can corrupt ad algorithms by signalling the wrong audience back to the platform. His CPL and demo cost estimates for a niche B2B SaaS context were within a reasonable and defensible range.


β€’ Funnel strategy and lead generation thinking [8.5/10]: This is where Harman feels most at home. His approach to diagnosing a CPL versus pipeline value gap was grounded in ICP alignment with sales first, which is the right instinct. He talked about running small experiments before scaling, building qualification friction into forms, using nurturing for leads that fit the ICP but aren't in a buying moment yet, and sitting down with the sales team to define what "poor quality" actually means before making any campaign changes. We think his handling of the webinar scenario was also genuinely practical – he sequenced the fallback options sensibly, acknowledged the limits of cold outreach for webinar registration, and raised the nuanced point that leads coming from CRM outreach serve a different purpose to net-new leads.


β€’ Data, attribution and HubSpot [7.5/10]: Harman's tracks the right metrics for a B2B demand gen function, covering CPL, cost per SQL, cost per opportunity, and pipeline velocity, and he showed a clear understanding of what to surface to leadership versus what lives in his own day-to-day dashboards. His use of Google Analytics and MS Clarity together for landing page diagnostics was specific and practical, and his point about distinguishing a single week's conversion dip from a sustained four-week decline showed he doesn't over-react to noise in the data. On HubSpot, he has five-plus years of hands-on experience across free and enterprise licences, and he referenced it naturally throughout both calls in the context of lead routing, CRM integration with LinkedIn lead gen forms, and nurturing sequence logic. His cross-channel attribution framework, borrowed from Meta's 7-day click and 1-day view model, is a reasonable working heuristic but not a robust multi-touch approach. He acknowledged attribution is messy, but his answer on defending LinkedIn's pipeline contribution to a CEO leaned on impressions and clicks rather than assisted conversion data or pipeline influence reporting.


β€’ Strategic planning and 90-day thinking [7.5/10]: We appreciated that Harman's 90-day thinking was able to cut through to the structural problem quickly. When given the client scenario, he immediately set aside the 600 LinkedIn followers and the unlabelled Canva assets and went straight to the fact that Google Ads had been paused for three months and the SEO agency had no clear conversion accountability; he identified those two things as the real issues before proposing anything. His sequencing was also sensible – learn the product first, validate or build the value proposition and messaging, do competitive and keyword research, build assets, then launch multiple campaigns simultaneously with a 30-day window to conclude AB testing before scaling what works. We think his decision to run experiments in parallel rather than sequentially was smart given the funding round timeline, and he explained the reasoning clearly.

Areas of growth

β€’ He'd benefit from getting comfortable with how to build a proper assisted conversion report in HubSpot and present pipeline influence data in a way that holds up in a leadership conversation. Learning how to frame LinkedIn's contribution through a lens of influenced pipeline value, rather than top-of-funnel engagement metrics, would make him materially stronger in cross-channel budget discussions.


β€’ His lead qualification thinking was solid at the conceptual level but could go further in terms of how he'd actually set up a scoring model within HubSpot and formalize MQL-to-SQL handoff criteria with the sales team. Getting more structured in how he articulates those processes would make him a stronger cross-functional partner to the sales team in this role.

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