{"id":326944,"date":"2025-12-02T02:09:39","date_gmt":"2025-12-02T02:09:39","guid":{"rendered":"https:\/\/peraltafinancing.com\/uncategorized\/growth-hacks-customer-psychology-and-roi\/"},"modified":"2025-12-02T02:09:39","modified_gmt":"2025-12-02T02:09:39","slug":"growth-hacks-customer-psychology-and-roi","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=326944","title":{"rendered":"Growth Hacks, Customer Psychology, and ROI."},"content":{"rendered":"


\n<\/p>\n

\n\u00a0 \u00a0<\/a><\/p>\n

Did you know that the average time a LinkedIn ad takes,
\nfrom first impression to B2B revenue, is 320 days? And 235 from ad engagement.
\nAre you giving your campaigns enough time to work?<\/span><\/p>\n

– Most companies in my sphere do not have enough,
\nsurprise, surprise! – patience. However, I do achieve success with retargeting ads, which, as you might expect, work faster.<\/span><\/p>\n

But even with retargeting, you have some serious drags on
\nyour success \u2013 firstly, the economy, which is slowing, flat, or even in reverse,
\ndepending on where you are. Secondly, your brand \u2013 the biggest brands in the world
\nonly have to put out mediocre ads, and they will still get good results.\u00a0<\/span><\/p>\n

But a
\nsmall startup with an unknown brand, needs to hit it out of the park every time
\nto connect with the customer. Plus, it\u2019s fighting against the adage \u2018no one
\never got fired for buying IBM\u2019 <\/span><\/p>\n

I guess you\u2019d change that to some variation of Microsoft today.
\nBut the point is that it’s very hard to convert a lead for a small company with
\nlittle or no brand awareness. <\/span><\/p>\n

However, that\u2019s not to mean it\u2019s not impossible! Companies
\nlike Zscaler, where I worked, did this \u2013 but it was not due to marketing alone.
\nThey had an outstanding product, which can make up for a multitude of sins. We also
\nhave a dynamite sales and marketing team. <\/span><\/p>\n

On the contrary, if you are dealing with a poor or not well-established
\nproduct market fit, it’s easy for a company to become sucked into a viciously
\naccelerating churn cycle ‘whirlpool’: Company loses customers at an alarming
\nrate, so it needs to ramp up sales and marketing efforts (cue unrealistic
\npromises), which speeds up churn, and so on. <\/span><\/p>\n

How do you avoid such a situation? Make sure that you
\nhave virtuous feedback loops from sales and marketing to product and back. And that
\nyou have a strong culture of psychological safety. If you have a culture of \u2018shoot
\nthe messenger\u2019, then no one in senior management will be aware of these
\nproblems until it’s too late.<\/span><\/p>\n

How did I get so interested in this topic, I hear you
\nask? Well, actually, I\u2019ve been very busy on various platforms trying to
\ncrack the code of how SEO is changing with AI, in the b2b space.<\/b><\/span><\/p>\n

I feel like I\u2019m getting there! Since my organic blog and
\nweb traffic have increased more than tenfold in the last year! <\/b><\/span><\/p>\n

<\/span><\/a><\/div>\n


<\/span><\/p>\n

If you look at this chart, you can see what\u2019s driving AI
\nsearch \u2013 I would say for B2B it skews a little heavier towards LinkedIn and Quora.
\nSo I\u2019ve been super active on these channels, and I\u2019m getting over 50 b2b
\nquestions a day on just Quora, for instance.\u00a0
\n<\/span><\/p>\n

I recently did an entire audit of all my
\nsocial media engagements across all my key channels (Quora\/LinkedIn\/Reddit) to see what the trends are<\/span><\/b><\/p>\n

When I fed it all into AI, these were the top topics:<\/span><\/p>\n

AI-driven GTM &
\nthe new search stack<\/span><\/strong>

\nHow to win with AI Overviews\/AI Max + LinkedIn\/Quora\/Reddit; practical
\nplaybooks, not theory.<\/span><\/span><\/p>\n

Demand gen that
\nactually drives pipeline (esp. in tight markets)<\/span><\/strong>

\nWhat to cut\/defend\/double-down on, sequencing experiments, and real metrics
\n(demo-rate, win-rate, payback) \u2014 not vanity MQLs.<\/span><\/span><\/p>\n

Sales psychology
\n& decision-enablement content<\/span><\/strong>

\nBuying signals, persuasion without pressure, and case studies that sell
\n(HBS-style narratives over \u201cadvertorials\u201d). Quora hits on buying signals,
\nmass outreach, and monetising lists point here.<\/span><\/span><\/p>\n

MarTech\/ABM stack
\n& accountability<\/span><\/strong>

\nHubSpot\/SFDC + Demandbase\/6sense choices, clean ops, SLAs with sales, and
\nagency performance models (pay-for-performance vs. retainers).<\/span><\/span><\/p>\n

Trust engines:
\ncommunity, authenticity & micro-influencers<\/span><\/strong>

\nTurning brand communities and creator voices into a qualified pipeline; founder
\nPOVs and no-BS thought leadership resonate with the LinkedIn crowd.<\/span><\/span><\/p>\n

Over the next few months, I will
\ndig into these topics in much more detail with a focus on each one every month.\u00a0<\/span><\/p>\n

It\u2019s great to see that what you are asking me very much aligns with what I am
\ngood at, and what I have a strong understanding of \u2013 so the algorithms are
\nworking!<\/span><\/p>\n

<\/span><\/a><\/div>\n

What are the patterns? \u2013 Once again,
\nthanks to my AI agent for compiling this, based on all the research I fed into it
\nfrom all my channels.<\/span><\/p>\n