Have you ever gone to Google to search for information, only to click on an ad instead of an organic result? Or opened Instagram to see what your friends are doing, but ended up exploring a brand's page? These are examples of "search diversion" - a powerful strategy that platforms use to connect participants who might not otherwise find each other.
In many platforms, not everyone is equally eager to connect. Some participants (like shoppers looking for specific items) are actively searching, while others (like advertisers or smaller sellers) are eager to be found but might be overlooked. The challenge for platforms is to create connections that benefit both sides, even when one side wasn't initially looking for the connection.
Successful platforms solve this problem by creating value exchanges where everyone wins. The user finds something useful or interesting (even if it wasn't what they originally sought), the advertiser or seller finds a customer, and the platform earns revenue for making the connection.
In this blog, we'll explore how platforms can ethically and effectively connect reluctant participants, creating value for everyone involved.
Garvit Sahdev enjoys understanding the ideas that shape our world. The Thoughtful Tangle is an initiative to share this journey and experience with friends who love to do the same. He selects one idea and dives deep into it to understand its basics, relevance, impact, and opportunities around it.
The Economics of Reluctant Participation
To understand search diversion, we need to understand why some participants are reluctant to connect in the first place.
Breaking Down the Cost-Benefit Equation
For any platform participant, the decision to engage comes down to a simple question: "Is what I'm getting worth more than what I'm giving?"
What participants give:
Money
Time
Attention
Personal data
Effort
What participants want:
Products or services
Information
Entertainment
Social connection
Convenience
The challenge is that different participants value these things differently. Some are willing to pay money to save time, while others prefer to spend time to save money.
The Annie (User) and Jack (Advertiser) Model Explained
Let's look at a simple example to illustrate this dynamic:
Annie is a user who comes to a search engine looking for information about "best running shoes for beginners." Her goal is to find helpful, trustworthy information quickly.
Jack owns a small online store selling running shoes. He wants to reach potential customers like Annie but doesn't have the SEO resources to rank at the top of organic search results.
The search engine has two goals:
Help Annie find useful information (to keep her coming back)
Help Jack reach potential customers (to generate advertising revenue)
Without search diversion, Annie might never discover Jack's store, even though it might have exactly what she needs. With search diversion (in this case, sponsored search results), the search engine creates a connection that could benefit both Annie and Jack.
How Platforms Can Profit While Making Both Sides Better Off
The key to successful search diversion is ensuring that all three parties benefit:
The user (Annie) discovers relevant options she might have missed
The advertiser (Jack) reaches potential customers cost-effectively
The platform earns revenue for facilitating the connection
The platform's job is to make sure the diverted search still creates value for the user. If Annie clicks on Jack's ad but finds it irrelevant or unhelpful, she'll be less likely to click on ads in the future. If Jack pays for ads but doesn't get customers, he'll stop advertising.
The most successful platforms find ways to align these interests so that what's good for the platform is also good for both Annie and Jack.
Content as Currency: The Subsidy Strategy
One of the most effective ways platforms connect reluctant participants is by using valuable content as a form of payment for user attention.
How Valuable Content Compensates for User Attention
Think about what happens when you use a "free" platform like YouTube:
You get access to millions of videos without paying money
In exchange, you see ads that generate revenue for YouTube
Content creators get paid from the ad revenue
Advertisers reach potential customers
In this model, the content effectively "pays" you for your attention. The more valuable the content, the more attention users are willing to give, and the more opportunities there are for search diversion.
Examples from Media, Social Platforms, and Search Engines
Media Platforms:
Spotify offers a free tier where users "pay" by listening to ads between songs
News websites offer a certain number of free articles before requiring subscriptions
Podcasts include sponsor messages within valuable content
Social Platforms:
Instagram places sponsored posts within your feed of friends' content
TikTok mixes sponsored content with organic videos
Twitter inserts promoted tweets into your timeline
Search Engines:
Google provides free search in exchange for showing relevant ads
Bing rewards users with points for searches that can be redeemed for gift cards
DuckDuckGo emphasizes privacy as the value they provide in exchange for your searches
Calculating the Right "Subsidy" Level for Your Platform
How much content "payment" do you need to offer to earn user attention? This varies by platform and depends on:
Content value: How useful or entertaining is your content?
User alternatives: What other options do users have to get similar content?
Ad intrusiveness: How disruptive is your monetization to the user experience?
Targeting precision: How relevant are your diverted searches to user interests?
The right balance means users feel they're getting fair value for their attention. Too many ads or irrelevant diversions will drive users away; too few monetization opportunities will make your platform unsustainable.
The Art of Search Diversion
Search diversion is about guiding users to discover value they weren't explicitly looking for, but might appreciate finding.
How Platforms Guide Users to Discover Unexpected Value
Effective search diversion isn't random - it's carefully designed to create connections that have a high probability of being valuable to both sides.
Methods include:
Related items: "People who bought this also bought..."
Sponsored placements: Paid positions in search results or feeds
Category broadening: Showing items from related categories
Personalized recommendations: Suggestions based on past behavior
Limited choice architecture: Guiding users toward certain options
The Karen and Maggie's Dog Boutique Example
Imagine Karen, who regularly searches online for premium dog food. She has a specific brand in mind but is open to alternatives.
Maggie runs a small dog boutique specializing in healthy, homemade dog treats. She can't compete with big brands for general search visibility.
A pet supply platform could connect them through smart search diversion:
When Karen searches for her usual brand, the platform shows Maggie's treats as a "You might also like" option
The platform knows from Karen's browsing history that she's interested in healthy options for her dog
Maggie pays the platform a small fee for this targeted placement
Karen discovers a local business she wouldn't have found otherwise
Maggie gains a customer she couldn't have reached through direct competition
This creates value for everyone involved - Karen finds a new product she likes, Maggie finds a customer, and the platform earns revenue.
Ethical Considerations in Attention Redirection
Search diversion must be done ethically to maintain user trust. Key considerations include:
Transparency: Users should understand when content is sponsored
Relevance: Diverted options should still be useful to the user
Proportionality: The amount of diversion should be reasonable
Control: Users should have ways to opt out or filter diversions
Value exchange: The diversion should offer potential value to the user
Deceptive practices like hiding sponsorship disclosures or creating misleading clickbait might work in the short term but will damage trust and platform value in the long run.
Case Studies from Retail and E-commerce
Amazon's "Sponsored Products" Amazon shows sponsored products alongside organic search results. These are clearly labeled but designed to look similar to organic results. This works because:
The sponsored products are highly relevant to the search
Amazon's algorithm factors in both relevance and bid price
Users often find these products useful, even though they're sponsored
Target's In-Store App Navigation Target's app helps shoppers navigate stores but sometimes guides them past promotional displays or featured items. This works because:
The primary function (helping find products) is still fulfilled
The diverted path still leads to the destination
Shoppers sometimes discover deals they appreciate
Designing Effective Ad Experiences
Not all ads are created equal. The way you integrate monetization into your platform dramatically affects both user experience and effectiveness.
When Unskippable or Intrusive Ads Can Still Work
More intrusive ad formats can work when:
The content is highly valuable or unique (like a specific TV show or sports event)
Users have few alternatives to access the content
The ad experience is predictable and time-limited
The free option with ads is contrasted with a paid ad-free alternative
For example, Hulu's basic tier includes unskippable ads, but users accept this because:
They're paying less than they would for ad-free viewing
The content isn't available on many other platforms
The ad breaks are predictable and limited
They have the option to upgrade to ad-free viewing
Balancing Monetization with User Experience
The key to sustainable monetization is finding the right balance:
Ad load: How many ads appear and how frequently
Ad relevance: How closely ads match user interests
Ad integration: How seamlessly ads fit into the user experience
Ad value: Whether ads themselves provide information or entertainment value
Platforms like Pinterest have found success with highly integrated ads that match the visual style and content of the platform, making them feel less intrusive and more valuable.
Examples of Innovative Ad Integration from Various Platforms
Spotify's Sponsored Sessions Spotify offers "watch this short video for 30 minutes of uninterrupted listening" - giving users control over when they experience ads.
BuzzFeed's Sponsored Content BuzzFeed creates branded content that matches its editorial style, making the advertising itself entertaining or informative.
Twitch's Channel Subscriptions Twitch allows viewers to support streamers directly through subscriptions, creating an additional revenue stream beyond traditional advertising.
Google Maps' Business Listings Google Maps integrates paid business listings into a useful navigation tool, adding value for both businesses and users.
Measuring Success Beyond Direct Conversions
To fully evaluate search diversion, platforms need to look beyond immediate clicks and conversions.
Key Metrics for Evaluating Search Diversion Effectiveness
Important metrics include:
Engagement rate: How often users interact with diverted options
Conversion rate: How often these interactions lead to desired outcomes
User satisfaction: How diversion affects overall platform satisfaction
Return frequency: How diversion affects user retention
Monetization per user: Revenue generated relative to user acquisition costs
Advertiser retention: How long advertisers stay with the platform
Long-term Value vs. Short-term Gains
Effective search diversion strategies prioritize long-term platform health over short-term revenue:
Short-term focus: Maximizing clicks and immediate revenue
Long-term focus: Building sustainable user and advertiser relationships
Platforms that focus too heavily on short-term metrics often increase ad load or decrease relevance requirements, leading to user frustration and eventual platform decline.
Building User Tolerance for Monetization Elements
Users can become more accepting of monetization over time if:
The platform consistently delivers value
Monetization is introduced gradually
Users understand how monetization supports the platform
Monetization leads to platform improvements
Users have some control over their experience
Facebook and Instagram gradually increased ad loads over many years, allowing users to adjust to the changes while continuing to find value in the platforms.
Conclusion: Ethical and Effective Attention Management
Framework for Connecting Reluctant Participants
To build effective search diversion into your platform:
Identify the value exchange: What are all participants giving and getting?
Ensure mutual benefit: How can connections benefit both parties?
Create relevance mechanisms: How will you match the right participants?
Build trust through transparency: How will you maintain user trust?
Measure holistic success: How will you track both short and long-term outcomes?
Building Sustainable Value Exchange Systems
Sustainable platforms create value exchange systems where:
Users receive enough value to justify their attention
Advertisers receive enough value to justify their spending
The platform generates enough revenue to improve and grow
The most successful platforms continuously refine this balance, adjusting as user expectations, competition, and market conditions change.
Future Trends in Platform Monetization Models
Looking ahead, several trends are shaping the future of platform monetization:
Subscription bundling: Combining multiple services under one subscription fee
Creator economy tools: Helping content creators monetize directly from their audiences
Tokenization and micropayments: Creating new ways to exchange small amounts of value
Value-aligned advertising: Better matching ads to user needs and interests
Mixed monetization models: Combining ads, subscriptions, transactions, and other revenue sources
As these trends evolve, the fundamental principle remains the same: creating connections that benefit everyone involved, even when some participants weren't initially looking to connect.
The strategic art of search diversion isn't about tricking users into seeing things they don't want. It's about creating a system where value flows between all participants, where users discover things they wouldn't have found otherwise, and where the platform sustainably facilitates these valuable connections.
By understanding the economics, ethics, and execution of search diversion, platform designers can create experiences that connect reluctant participants in ways that make everyone better off.
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