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10 Steps trusted advisors can use to attract more right-fit clients

Here are the ten steps discussed in the book that trusted advisors can use to improve their positioning to prospective clients.

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Client acquisition is a science that must be artfully executed, especially by professional service professionals who want to be viewed as trusted advisors.

That is the advice of Craig Lowder, lead author of the book, Trusted Advisor Confidential: The Insider’s Guide To Landing Right-Fit Clients (2024), released by Indie Books International.

To research the book, Lowder and co-author Henry DeVries studied hundreds of successful trusted advisors from professional services firms including financial advisors, independent consultants, executive coaches and marketing and advertising agency owners.

“Trusted advisors can fill a pipeline with qualified clients in as little as 30 days by offering prospects advice on overcoming pressing problems,” states Lowder. “Before you can attract clients with books and speeches, you need to create a point of view that is attractive to clients. All your marketing messages will contain the elements of this point-of-view that positions you as an authority and thought leader.”

The authors, both MBAs, say the biggest mystery for trusted advisors is how to attract increasing numbers of right-fit clients on a regular basis. In short, seeking predictable and sustainable book-of-business growth. Here are the ten steps discussed in the book that trusted advisors can use to improve their positioning to prospective clients:

Step One. Name your business without your name. 

Create a business name that gives potential clients a hint at the results you can produce for them. The worst possible business name or website name is your name.

Step TwoBoil it down. 

Write a headline for your website and marketing materials that describe your audience and the results you produce for them. Do this in no more than ten words. The narrower the target niche, the better.

Step Three. Name your client’s pain. 

What are your client’s worries, frustrations, and concerns that you help solve? This is also called the FUD factor: fear, uncertainty, and doubt.

Step Four. How to fix it. 

Describe your solution or methodology for solving these pains. What process do you follow to produce results? Offering a proprietary problem-solving process that you name and trademark is best. This answers the all-important question in their minds: “Why should I do business with you instead of one of your competitors … or worse yet, do nothing?”

Step Five. The myths. 

State the common misperceptions that hold many trusted advisors back from getting results. Why doesn’t every advisor do what you do?

Step Six. Step by step. 

Tell your clients what they need to do in general to solve their problems.

Step Seven. The extras. 

List other benefits they get from following your methods and working with you as a trusted advisor.

Step Eight. Track record. 

Elaborate on your track record of providing measurable results for clients. Be as specific as possible. Use numbers, percentages, and time factors as proof points.

Step Nine. Give it away. 

Create a website and e-newsletter with free-tip articles on how to solve these pains. Each article should be between 300 and 600 words. Each tip can be numbered so it can be read easily.

Step Ten. Make an offer they can’t refuse. 

Offer prospects a free special report, checklist, tool, or assessment. You are offering to trade them valuable information for their email address. Tell them they will also receive a tips e-newsletter from you. Assure them you will maintain their privacy, and they can opt-out anytime.

“When potential clients tell you their problems, they expect you to tell them how you can solve them,” says Lowder. “After you outline your path to a solution, you want them to think, ‘At last: a trusted advisor who understands my problem and really knows what they are doing.'”

BizNews

In-aisle store displays might crowd shoppers and reduce overall sales

Retailers might seek strategies to boost product exposure without also increasing crowding – especially for cart shoppers who may experience greater crowding effects – and that excessive use of in-aisle fixtures will likely dampen sales at the aggregate level rather than increasing it. 

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In a study involving a real-world grocery store, in-aisle displays meant to boost product visibility were in fact associated with reduced sales and purchase-related behaviors, with results amplified for shopping cart users.

Mathias Streicher of Austria’s Department of Management and Marketing presents these findings in the open-access journal PLOS One.

Retailers often place extra product displays directly in aisles in an effort to boost visibility and enhance sales. However, in-aisle displays could increase spatial crowding, which occurs when people feel restricted in their freedom of movement and has been linked with purchase-avoidance tendencies. To help clarify if in-aisle displays result in more purchases, Streicher conducted several experiments with a partnering grocery store.

First, they tracked weekly sales for an aisle containing household, baby and pet staples over a six-week period during which five product-display stands were placed mid-aisle. The stands were then removed for six weeks. Comparison of sales data showed that in fact, sales increased after removal of the in-aisle displays, with the average weekly percentage of total store revenue from that aisle rising from 4.33 to 4.83 percent.

A second in-store experiment in the same aisle showed that people using shopping carts also stopped and physically handled products—behavior previously linked with sales—about 7.05 times more often when in-aisle displays were absent than when they were present. Non-cart shoppers also touched products more often when displays were removed, but the effect was smaller (3.81 times).

Finally, in an online experiment, 200 participants imagined using a shopping cart or basket while viewing photographs of the same aisle from the in-store experiments, with or without in-aisle displays. They tended to rate the aisle with displays as more crowded and reported lower levels of perceived control for aisles with displays than those without, with effects amplified for imagined cart versus basket use.

Together, these findings suggest retailers might seek strategies to boost product exposure without also increasing crowding – especially for cart shoppers who may experience greater crowding effects – and that excessive use of in-aisle fixtures will likely dampen sales at the aggregate level rather than increasing it. 

Further research could address some of this study’s limitations, such as by considering the effects of human crowding, promotional offers on products, and seasonal influences on shopping behaviors.

Streicher adds: “The research shows that adding merchandise into store aisles can actually reduce overall sales by making the environment feel crowded and harder to navigate. Importantly, this negative effect is even stronger for shoppers using carts, as they experience greater spatial constraints and reduced control while shopping.”

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BizNews

Structure of online reviews shapes their helpfulness

Reviews that grow increasingly positive are most helpful to readers, while those that turn negative are least helpful. For average-rated products, progressively negative trajectories enhance helpfulness, whereas reviews that start negative and grow positive are least effective.

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A study of nearly 200,000 Amazon reviews shows that the usefulness of online product reviews depends not only on what is said, but on how the information is structured.

The researchers, from the Universities of Cambridge and Queensland, studied Amazon reviews for products ranging from clothing to food to electronics. They found that how the information is organised matters as much as what is said, and that different review structures are more or less helpful, depending on how highly the reviewer has rated the product.

Their results, published in the journal Scientific Reports, could help companies and third-party review platforms design their review pages to prompt the sort of reviews that will be most helpful to potential customers.

For example, a reviewer assessing a laptop might praise its performance and design while criticising its battery life, so how should such information be structured to be most useful to the reader? Should the review begin with criticism and end on a positive note, or start positively before turning to drawbacks?

“Any target of evaluation typically has both positive and negative aspects, which makes crafting evaluative messages challenging,” said co-author Dr Yeun Joon Kim from Cambridge Judge Business School. “The key question is how to structure these elements within a single message. For example, one might present criticism upfront and then move to praise, or instead integrate negative points within an otherwise positive evaluation. Yet research has paid little attention to this structural dimension.

“We wanted to understand whether certain structures are consistently more effective, or whether their effectiveness depends on the performance of the target being evaluated.”

The study was based on 195,675 reviews of 5,487 distinct products, and assessed performance and related factors, and a helpfulness score as measured by reader votes.

The researchers identified nine possible structures of online reviews ranging from Type A reviews that start positive and become more positive as they go along, to Type I reviews that start negatively and become even more negative – with lots of variance in between.

For highly-rated products, reviews that grow increasingly positive are most helpful to readers, while those that turn negative are least helpful. For average-rated products, progressively negative trajectories enhance helpfulness, whereas reviews that start negative and grow positive are least effective. For low-rated products, reviews are judged most helpful when they open constructively before introducing criticism.

“The results are nuanced but very clear,” said co-author Dr Luna Luan from the University of Queensland, who carried out the research while earning her PhD at Cambridge Judge Business School. “Looking at the overall sentiment of reviews does not fully translate into message effectiveness. It is the broader structure of sentiment – how positivity and negativity evolve throughout the review – that shapes how readers interpret online reviews.”

“Our findings have practical implications for how platforms and companies can design review pages in order to elicit the sort of reviews that will be most helpful to readers based on how highly products are rated,” said Kim. “For example, instead of simply asking ‘Write your review here’, the online review form could instead include micro-prompts that guide how reviewers structure feedback in a way recipients find most helpful.”

The researchers found the most commonly used review styles are not necessarily the most helpful to readers. In particular, for average- and low-rated products, the structures that reviewers tend to adopt often differ from those that readers find most useful.

This mismatch likely reflects different underlying motivations. Reviewers are not always writing to maximise usefulness for others, but may instead be expressing their own experiences, frustrations or emotions – especially when evaluating products of moderate or poor quality. As a result, review writing often serves both as information sharing and as a form of self-expression. This helps explain why widely used review styles do not always align with what readers perceive as most informative or helpful.

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Strategies

Online marketers, take note: Online viewers prefer livestreams to recordings

Watching an online performance in real time boosts several aspects of the viewing experience.

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In an era when most TikTok videos are prerecorded, can a band with a new single create a tighter bond with fans by debuting via livestream instead? Can a business do the same when promoting a new product?

New research from the McCombs School of Business at The University of Texas at Austin suggests they could.

Since the pandemic, the livestreaming industry has been booming. The global market is expected to reach $345 billion by 2030, up from $100 billion in 2024. Nearly 30% of internet users watch livestreams at least once a week on social media.

Adrian Ward, associate professor of marketing, is one of them. A few years ago, he was viewing a livestream of a town hall meeting and found himself gripped by a speaker’s comments, feeling as if he were actually in the room. On reflection, he suspected it was the liveness of the event, as much as the speaker, that kept him glued to the screen.

“As we spend more of our time online and on social media, it’s worth asking how we can feel as complete and connected as possible in these spaces,” Ward says.

Live and Let Stream

With Alixandra Barasch of the University of Colorado Boulder and Nofar Duani of the University of Southern California, Ward began to investigate what he calls the “mere liveness effect”: the idea that simply knowing an event is streaming in real time makes a viewer feel more connected to the performer.

The researchers ran five experiments with 3,500 total participants. By manipulating various factors, they compared how, when, and why viewers reacted to watching livestreams versus prerecorded videos online.

In one experiment, participants watched live or recorded videos of their choosing on the platform Twitch. In another, they viewed a performance by the R&B cover band Sunny and the Black Pack, either live on YouTube Live or its recording the next day on YouTube.

In a third, the researchers created their own streaming platform to show participants identical videos, manipulating whether the content appeared to be live or prerecorded.

The experiments provide evidence that watching an online performance in real time boosts several aspects of the viewing experience:

  • Connection. Viewers in one experiment felt 7 percentage points more connected to the performers in the live video. Another experiment showed the effect was even stronger when viewers believed no one else was watching.
  • Enjoyment. In another experiment, viewers enjoyed the live video 5 percentage points more than the prerecorded one.
  • Engagement. Real-time streams carried a “liveness lift.” Viewers chose to continue watching longer, and they were more willing to follow and subscribe to the live streamer’s channels.

A common factor underlying those effects was a heightened sense of presence, Ward says. “When we watch something live, we are psychologically transported there.

“It’s not that there’s actually something different about the video itself. It’s that we know that it’s live right now, and that breaks down barriers between our world and the world on the other side of the screen.”

Lessons for Liveness

One quality weakened the liveness effect: not being able to see a performer’s face. When viewers saw only a musician’s hands, they felt less connected, even though they were watching the same performance.

The findings have implications for marketers, platform developers, and content creators, Ward says. In an age when people increasingly meet their social needs online, going live can benefit streamers by motivating audience engagement.

As a follow-up, he’s working with a graduate student to study whether the liveness effect translates into greater brand trust or sales.

“From influencers to businesses, it’s about the experience of real people seeing other real people live and in the moment,” Ward says. “It makes you feel like you’re sharing something.”

The Liveness Lift: Viewing Live Streams Creates Connection and Enhances Engagement in Amateur Music Performances” is published in The Journal of Marketing.

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