Length 23 min read
68%
Of US Google searches result in zero traffic to websites, 2026 estimate
−43.2%
Average drop in estimated organic traffic across the 33 declining companies in the test segment of 47 creator-economy platforms and agencies
94%
Of citations in the LLM test came from third-party sites: being mentioned elsewhere matters more than anything you optimize on your own site
You can’t see the buyer, you can’t afford the ad. What now, marketers?
How are the best growth leaders in the creator economy winning business in 2026? To understand today, we must first look to the past. In the golden age of advertising, brands gained presence through mass media, where the megaphone bought broad reach. Technology and data then unlocked personalization, precise targeting that shifted spending below the line to strong short-term effect while raising cost and privacy pressure. Communities came next, and influence became the prize. Today a fourth shift is underway: machines answer before buyers search, evaluation happens in places no dashboard can see, and rented attention expires the moment the invoice clears.
The marketers winning in this environment look different from the marketers who preceded them. Inside the strongest creator-economy firms, the top growth people behave less like media buyers and more like publishers with an engineering habit. They excel at turning delivery data into findings nobody else holds, at packaging those findings into named assets with editions, at putting credible people in front of the work so trust travels, at earning positions inside the rankings that machines and buyers actually read.
The owned and earned growth system
Many models compete to describe this new world. One stands out: the owned and earned growth system, a closed loop in which evidence feeds the earned layer, the earned layer convinces the buyer, and the buyer returns as new first-party data.
Content is free, attention is expensive, insight is scarce
This is not a stylistic turn in marketing fashion. It is a change in cost structure, and cost structures decide strategy. Three movements define the period. The marginal cost of producing content has collapsed toward zero, because generative systems now produce competent explanation on demand. The price of rented attention keeps rising, as auctions inflate and targeting signal degrades. And the value of verifiable original insight rises fastest of all, because it is the one input that answer engines cannot generate and must therefore cite.
The challenge
The channels that built your pipeline have changed
Many agencies and platforms are running a 2023 channel playbook harder. That may lift a local metric, but the path from discovery to a qualified opportunity has changed.
Search illustrates the shift. The estimated share of US Google searches ending without a click rose from 45 percent in 2016 to 68 percent in 2026. Search demand did not disappear; more of it was resolved before the user reached a company website.
AI summaries intensify that pattern. In observed browsing behavior, 15 percent of users clicked a result when no AI Overview appeared, compared with 8 percent when one did. Sessions ending without a click increased from 16 percent to 26 percent.
Searcher behavior | No AI Overview | AI Overview present |
|---|---|---|
Clicks a result link | 15% | 8% |
Ends the session without clicking | 16% | 26% |
Do not stop investing in search; stop forecasting future pipeline from historical click yield. Account for visibility that shapes a shortlist without producing a visit, and build assets that retain value when platforms change distribution.
Search did not disappear; it redistributed
The loss of clicks is concentrated at the informational end of the journey. Definitional click-through fell from 28 to 11, while informational click-through fell from 31 to 20. Transactional, navigational, and local searches were considerably more resilient.
The distinction is between pages that explain and pages that help a buyer act. Search and AI products can summarize generic definitions. Comparisons, implementation guidance, verified cases, proprietary benchmarks, and tools reduce a real decision or task.
The category-level impact is already visible
This is an industry-wide drop: 70 percent of the agencies and platforms we tracked, 33 of 47, lost organic traffic between July 2025 and July 2026. The typical company in the panel dropped 26.2 percent, and the 33 that fell dropped 43.2 percent on average.
−26.2%
Panel median change
70%
Of agencies recorded a drop in organic traffic
−43.2%
Average decline among the 33 decliners
Drastic organic traffic drops across the entire creator economy
The shift is clearest in the marketplaces
The world’s largest software and agency marketplaces make the redistribution legible at scale. Clutch, Capterra, and G2 are the reference directories for exactly the shortlisting behavior described in this report. All three lost a large share of their organic search traffic across the review window, and all three are now being cited at volume inside AI answers.
Capterra: approximately 2M to approximately 500K estimated monthly organic traffic, mid-2024 peak to August 2026. Organic pages fell across the same window.
Clutch.co: approximately 2.6M to approximately 1.3M estimated monthly organic traffic, 2024 peak to August 2026, with indexed pages down sharply from late 2025.
G2: 4.23M to approximately 1.5M estimated monthly organic traffic, 16 August 2023 against August 2026, against 186,860 organic pages at the same reference date.
Source: Ahrefs Site Explorer, organic traffic and organic pages, five-year daily view, retrieved 4 August 2026. Peaks read from the chart series.
The same domains are gaining inside AI answers
Losing the click has not cost these marketplaces their role in the decision. Ahrefs’ AI response index shows all three cited across assistants, and almost every year-on-year change is positive, including in ChatGPT, where G2 alone is cited in 66,800 responses.
Read together with the traffic declines on the previous page, this is a transfer rather than a decline. The directories buyers used to reach through Google are increasingly read on the buyer’s behalf by an LLM, which makes presence and position inside those sources a distribution problem rather than a search-engine problem, consistent with Section 5, where approximately 94 percent of citations in our own assistant test came from third-party sources.
Citations in AI answers rose while organic clicks fell
Domain | AI Overviews | ChatGPT | Perplexity | Other |
|---|---|---|---|---|
G2 | 44.3K (+27.7K) | 66.8K (+51.3K) | 41.6K (+22.9K) | Copilot 29K (+22.7K) |
Capterra | 21.3K (+12.9K) | 34.7K (+19.6K) | 22.5K (+10.4K) | AI Mode down 4.5K |
Clutch.co | 16.5K (+11.2K) | 5.1K (+2.7K) | 5.6K (+3.8K) | AI Mode down 7.2K |
Source: Ahrefs AI responses index, retrieved 4 August 2026. Responses and cited pages per platform, with change against the prior period; the index is new, so treat levels as directional.
Coverage contracted while authority concentrated
Visibility is concentrating around fewer, stronger pages. Median ranking-keyword count declined 87.7 percent and indexed pages declined 66.5 percent, while median top-three keyword positions increased 30.4 percent and referring domains increased 62.4 percent.
−87.7%
Median ranking-keyword count (what contracted)
−66.5%
Median indexed pages (what contracted)
+62.4%
Median referring domains (what strengthened)
+30.4%
Median top-three keyword positions (what strengthened)
The wider distribution is equally concentrated: 96.55 percent of 14 billion pages in one crawl corpus received no Google traffic; only one in 6,671 pages without backlinks exceeded 1,000 monthly visits; and 2.8 percent of domains captured roughly 75 percent of number-one positions.
Organic search has a thin economic middle
96.55%
Of 14 billion pages in one crawl corpus received no Google traffic
1 in 6,671
Pages without backlinks exceeded 1,000 monthly visits
2.8%→75%
Share of domains capturing roughly three quarters of number-one positions
Winning sites have a different profile. Proprietary assets appeared on 92.9 percent of the winners in one classification, task completion on 83.7 percent, a focused topic on 75.9 percent, and a real product or service on 70.2 percent.
The SEO opportunity is narrower but more valuable. Compete where your experience, data, product, or methodology creates a destination, not where another paragraph can be generated at near-zero cost.
Your buyers shortlist you before they contact you
Enterprise buyers use peers, specialists, search, rankings, communities, events, and LLMs before your team sees an inquiry. Marketing must make the company familiar to the account and give an internal champion proof they can circulate without you.
Enterprise buying extends across multiple channels, touchpoints, and stakeholders
Stage | When | What happens |
|---|---|---|
Problem framing | Before any contact | Peers and specialists define what good looks like. The category vocabulary is set here, not by a vendor. |
Independent research | Before any contact | Search, LLMs, rankings, communities, and events supply candidate names and evidence. |
Shortlist formation | Before any contact | Familiarity and third-party validation decide who is on the list. Absence here is not recoverable later. |
Internal validation | First inquiry | A champion circulates proof to a buying group. Give them material that travels without you in the room. |
Clicks measure individual response; enterprise revenue depends on account and buying-group progression. In one B2B benchmark, Meta was cheapest per click, while LinkedIn was cheapest per company reached and produced the highest reported return on ad spend.
Creative format also mattered. Across 211 B2B companies, 161,256 ads, and approximately $5.5 million in spend, Thought Leader Ads generated roughly six times the median click-through rate of single-image brand ads and a substantially lower median cost per click.
Thought Leader Ads generated stronger attention economics
Ad format | Median click-through rate | Median cost per click |
|---|---|---|
Thought Leader Ads | 2.68% | $2.29 |
Single-image brand ads | 0.42% | $13.23 |
The format works when a credible leader explains a real decision, trade-off, or result to defined accounts. Measure qualified account reach, stakeholder coverage, and pipeline movement, not engagement alone.
What stopped working, and what to use instead
The channels remain usable. Their lowest-value applications create activity without adding distinctive proof, timely relevance, or buyer utility.
Familiar motion | What is losing efficiency | What to use instead |
|---|---|---|
Outbound | Static lists and generic automation | Triggered, senior, multi-stakeholder account activation |
Full-service positioning | An unstructured list of capabilities | One clear buyer problem and entry offer, with broader delivery behind it |
Informational content | High-volume explanatory publishing | Proprietary proof, decision support, and useful tools |
Competitive pitches | Unpaid solution design with limited buyer access | Bid discipline, paid discovery, and controlled proof |
Generic outbound lacks a reason to contact the buyer now. Broad positioning gives nobody a reason to shortlist you. Commodity content is absorbed by answer engines. Unpaid speculative pitching makes your team carry the cost without access or commitment.
How visibility now forms
LLMs do not recommend agencies the way Google ranks them
Influencer Strategists tested five LLMs with 16 buying-intent prompts across five repetitions: 400 response documents and 1,280 coded agency mentions. The prompts covered the commercial long tail of influencer marketing agency and platform queries: the questions a buyer asks when they are choosing a provider, not researching a topic. Recommendations concentrated among a small group; approximately 94 percent of citations came from third-party sources. Domain authority alone did not secure visibility.
The agencies named were, with few exceptions, the agencies already listed in someone else's ranking. The LLMs answered commercial queries by reading third-party ranked sources (directories and "best agency" listicles) rather than the agencies' own websites, and then reproducing what those sources said.
Position within a cited ranking was associated with recommendation frequency. Agencies placed first to third were named in 34.9 percent of relevant responses, compared with 21.1 percent for positions four to seven and 10.9 percent for position eight or lower.
On commercial queries, directory and listicle position is the simplest route to being recommended.
The sources the LLMs cited were the ranked environments buyers already use: software and agency marketplaces such as G2, Clutch, and Capterra, category listicles, and verified indexes including the Influencer Strategists Agency Index. Being present in those sources, and placed near the top of them, is what separated the agencies that were named from the agencies that were not.
That makes the priority order unusually clear: earn a defensible place in the rankings your buyers and their LLMs read, before optimizing anything on your own site. Section 2 showed those same marketplaces losing organic clicks while their citations in AI answers rose; the audience did not leave them, it now arrives through the LLM.
Authority and recommendation are not the same asset
Seven of the ten agencies with the highest Ahrefs Domain Rating were named in fewer than 3 percent of coded answers; two were never named. The most frequently recommended agency ranked 18th by Domain Rating.
# | Agency | Ahrefs DR | Named in answers |
|---|---|---|---|
1 | Edelman | 88 | 1.3% |
2 | We Are Social | 84 | 0.2% |
3 | VML | 79 | 0% |
4 | The Social Shepherd | 79 | 1.3% |
5 | Ogilvy | 79 | 2.0% |
6 | Amra & Elma | 78 | 18.4% |
7 | IZEA | 77 | 0.1% |
8 | DEPT Agency | 77 | 3.8% |
9 | Weber Shandwick | 76 | 0% |
10 | inBeat | 75 | 17.5% |
18 | The Influencer Marketing Factory | 71 | 40.1% |
What the table says
7 of 10
Of the highest-authority agencies were named in fewer than 3 percent of answers
2 of 10
Were never named at all
18th
Is where the most frequently recommended agency ranked by Domain Rating
Live Influencer Strategists experiment: five LLMs, 16 buying-intent prompts, five repetitions, 400 response documents, 1,280 coded agency mentions. Figures as at July 2026. A high Domain Rating was not sufficient for visibility across this prompt set; this does not show that domain authority is irrelevant to every model or citation path.
AI visibility starts with positioning and proof, not technical optimization. Define a retrievable category, support claims with evidence others can repeat, and earn position in the third-party rankings, directories, and indexes that buyers and LLMs read.
AI search now delivers better leads than Google
And four more numbers we are putting on the table.
Share of leads that turned out to be real buyers. AI engines outperformed every other source. They also deep-link: buyers landed straight on the matching service or case-study page, not the homepage.
Every lead who read an industry, service or case-study page first was a genuine buyer.
A specialist position makes you easier to find, trust, and buy
More than 200,000 agencies operate globally, including approximately 71,000 in North America; an estimated 87 percent have fewer than 50 employees. As AI increases the supply of routine execution, a broad service list becomes harder to classify and remember. Specialization gives search systems, LLMs, referrers, partners, and buyers the same answer: what problem is this firm unusually qualified to solve?
200,000+
Agencies operating globally
~71,000
Of them in North America
87%
Estimated share with fewer than 50 employees
Focus supports pricing, proof density, delivery reuse, and referral clarity. You can deliver broadly after entry; your market position should be narrower than your capability list.
The compounding growth system
Five connected motions turn visibility into pipeline
The research identifies no dominant channel. It identifies five connected motions: position, distribute, prove, convert, and expand.
The five-part system connects market evidence to revenue
Motion | Growth job | What to build | What to measure |
|---|---|---|---|
Position | Establish relevance and pricing power | Buyer/problem focus, delivery system, entry offer | Fit, win rate, deal size, margin |
Distribute | Build familiarity and transfer trust | Leaders, clients, referrals, partners, selective paid media | Qualified account reach, introductions, partner pipeline |
Prove | Enable independent evaluation | Outcomes, research, IP, product and implementation evidence | Citations, buyer use, product action, qualified demand |
Convert | Reduce risk and move accounts forward | Signals, diagnostics, pilots, executive environments, multithreading | Meetings, coverage, opportunity, pilot conversion, velocity |
Expand | Compound inside existing relationships | New outcomes, markets, teams, modules, usage, advocacy | Expansion revenue, share of wallet, NRR, gross margin |
Do not run the motions as separate campaigns. Outcomes strengthen proof; advocates strengthen distribution; usage creates data; partners create access; expansion produces the next case or referral. Each output should improve the next motion.
What is working now, and how strong the signal is
Specialization, expansion, and engineered referrals have the strongest agency-specific evidence. People-led distribution, partnerships, and named IP recur across winners. Test research, diagnostics, and executive experiences against pipeline and revenue in your own funnel.
Nine growth motions, ranked by the strength of the signal
Growth motion | Signal strength | What the research shows | What your team should build |
|---|---|---|---|
Specialization | Strong agency signal | Higher reported growth and materially higher margins | Narrow entry position; reusable delivery system |
Account expansion | Strong agency signal | Large share of growth in several high-growth cases | Expansion pipeline, executive sponsorship, account plans |
Engineered referrals | Strong agency signal | Highest usage and perceived effectiveness in agency surveys | Introducer map, specific asks, portable proof |
Named, ownable IP | Consistent market signal | Repeated among differentiated winners and scalable assets | Defensible method, data, or workflow |
People-led distribution | Consistent market signal | Stronger attention economics than faceless brand creative | Named experts, proven ideas, account targeting |
Partnership ecosystems | Consistent market signal | Repeated route to transferred trust and market access | Shared accounts, joint solution, reciprocal introductions |
Original research | Promising mechanism | Strong citation and authority logic | Transparent analysis, distribution, sales use |
Productized diagnostics | Promising mechanism | Plausible reduction in buyer risk | Controlled proof, success criteria, conversion tracking |
Curated executive experiences | Promising mechanism | Buyer demand favors smaller hosted formats | Preselected accounts, senior facilitation, rapid follow-up |
Select the few motions that fit your position, deal size, and ability to produce proof. A small connected system will outperform a large collection of unrelated tactics.
HubSpot: what happens when one acquisition engine breaks
Ahrefs-estimated monthly traffic to HubSpot's blog fell from approximately 13.5 million in November 2024 to below 2 million in early 2026, a decline of more than 85 percent. Company revenue nevertheless increased from approximately $880 million in 2020 to an estimated $3.7 billion in 2026.
13.5M→<2M
HubSpot modeled monthly blog traffic, November 2024 to early 2026: a decline of more than 85 percent
$880M
HubSpot company revenue, 2020
$3.7B
HubSpot company revenue, 2026 estimate
The two periods do not prove direct attribution. They show what protects a company when an acquisition channel weakens: product value, recurring customer relationships, expansion, brand, and alternative distribution. HubSpot had also acquired The Hustle for a reported $27 million, adding approximately 1.5 million subscribers and an established podcast operation.
If your largest lead source lost half its yield, which owned audience, product loop, partner route, customer base, or proprietary asset would continue to create demand?
Owned growth in practice: Billion Dollar Boy
Billion Dollar Boy compounds research, community, technology, earned reach, and account expansion. Collabstr turns marketplace data into tools that win search demand because users need an output, not another article.
Billion Dollar Boy: connect proof, community, product, and distribution
Billion Dollar Boy added FiveTwoNine, Companion, recurring research, and earned distribution to its specialist delivery. Public disclosures describe six studies in 20 months, a 5,000-asset research corpus, more than 1,800 community members across 18 countries, and 173 million profiles in its technology layer.
1,800+
FiveTwoNine community members across 18 countries: supplies access and participation
6 studies
In 20 months, on a 5,000-asset corpus: produces evidence and product insight
173M
Profiles in the Companion technology layer: turns delivery needs into workflow
Distribution
Coverage carries each asset outward, then feeds the next study and cohort.
Community supplies access and participation. Research produces evidence and product insight. Technology turns repeated delivery needs into workflow. Earned coverage distributes each asset outward, then feeds the next study and cohort. The output is the Creator Instinct report: 5,000 assets, one question.
Then distribute the proof on social, through people
A proprietary asset compounds only if it is distributed. Billion Dollar Boy pushes Creator Instinct through LinkedIn twice: the company page announces the research, and the CEO fronts the same report in person. The personal post drew far more engagement than the company account, the same pattern seen where Thought Leader Ads generated roughly six times the click-through of single-image brand ads.
What to notice
the company post reads as an announcement. The CEO holding the work reads as a recommendation, and it earned the report a second, larger audience. Trust transfers through people. Leaders, strategists, and the creators involved carry proprietary work further than a brand page can.
Publish the asset once; distribute it many times through the people behind it.
Earned Growth Systems, by Influencer Strategists
We built the Influencer Agency Index from our own first-party data and used it as an engine for LinkedIn reach and SEO, aimed squarely at influencer agency and platform CEOs and CMOs, because we wanted their attention.
The same mechanism, run by CreatorIQ
CreatorIQ's own EMV competitive-ranking dashboards work the same way our Index does: a proprietary ranking a brand then cites, unprompted, inside its own campaign recap.
The category is applying the same principle through communities, events, research, rankings, and measurement systems.
Creator-economy companies are building owned routes to demand and trust
Category | Company | Owned mechanism |
|---|---|---|
Community | Kolsquare | Influencer Marketing Klub and annual State of Influencer Marketing in Europe study |
Community | Billion Dollar Boy | FiveTwoNine member community with creator governance and a Creator Fund |
Community | Whalar | The Lighthouse physical creator campus |
Community | YKONE | YKONE House creator campus, studio, coworking, and event space |
Events | Stellar | Influence Talks, a self-hosted branded industry event |
Events | YKONE | Caviar Club dinner series and annual Cannes Pop-Up Office |
Events | Influencer Strategists | Recurring executive dinner series |
Data authority | CreatorIQ | Top 100 Brands of the Year, based on proprietary earned-media-value data |
Data authority | Influencer Strategists | Verified, non-pay-to-play Influencer Agency Index |
Data authority | Traackr | Brand Vitality Score and public leaderboard covering more than 1,000 brands |
Data authority | Billion Dollar Boy | Creator Instinct methodology based on first-party delivery data |
Collabstr: SEO still wins when the page is a product
Collabstr was the panel's largest organic visibility gainer, with a 1,047 percent increase in estimated traffic. Its leading terms were task-completion tools, not conventional articles or marketplace searches.
Five displayed tool queries generated approximately 484,000 estimated monthly visits, nearly 18 times the 27,364 visits from three marketplace-related queries. Estimated page count fell from about 10,000 to 5,000 shortly before monthly traffic rose from 364,000 to more than 2.1 million and top-three keywords rose from 4,944 to 14,000.
Five tool queries generated nearly 18 times the displayed marketplace traffic
~10K→~5K
Estimated page count, roughly halved
364K→2M+
Monthly estimated organic traffic
4,944→14K
Keywords ranking in the top three
SEO has not stopped working. Words alone are losing their ability to earn the click. Answer engines can reproduce generic explanations; a tool remains a destination because it calculates, checks, searches, benchmarks, downloads, or produces a user-specific result.
Turn first-party campaign, creator, pricing, performance, safety, audience, or benchmark data into calculators, scorecards, indexes, audits, and planning tools. The tool attracts demand; proprietary data makes it harder to copy; product integration turns usage into activation and pipeline.
Campaigns create peaks; owned assets compound
Campaigns create temporary distribution. Owned assets can continue generating discovery, evidence, usage, or revenue, and improve as data, workflow, or participation accumulates.
Owned assets differ in scale, defensibility, and proximity to revenue
Asset type | Role in growth | How it compounds | Link to pipeline or revenue |
|---|---|---|---|
Content library | Search and sales enablement | Limited unless pages earn links, brand demand, or repeat use | Influenced demand |
Research or ranking | Authority and citation | Strengthens as the method, dataset, and historical series earn trust | Demand, sales, partnerships |
Community or owned event | Direct access and insight | Improves as participation quality and peer value increase | Conversion, retention, research |
Free tool or calculator | Task completion and acquisition | Gains value through proprietary data, repeat use, and product connection | Product or marketplace entry |
Proprietary data or workflow product | Recurring value and switching cost | Improves through usage, data depth, and workflow integration | Revenue, activation, expansion |
Apply it to your business
Agencies and platforms need different growth systems
Agencies sell expertise and delivery; platforms sell adoption, usage, and expansion. Both need the five motions, but their assets and proof differ.
Motion | What an agency must prove | What a platform must prove |
|---|---|---|
Position | Defined buyer, business problem, and delivery system | Defined buyer, use case, and workflow problem |
Distribute | Experts, clients, referrals, partners, account media | Product tools, experts, integrations, partners, category education |
Prove | Comparable outcomes, methodology, senior talent, delivery evidence | Live product, data quality, integrations, governance, security, ROI |
Convert | Paid discovery, diagnostic, pilot, executive engagement | Demo, sandbox, trial, proof-of-value, champion enablement |
Expand | Additional outcomes, markets, and capabilities | Seats, teams, markets, modules, payments, transaction volume |
For a platform, product can become distribution. A database, benchmark, calculator, extension, or sandbox lets buyers experience value before sales. Measure qualified activation and progression, not registrations.
For an agency, delivery is the source material. Turn repeated work into a named method, benchmark, diagnostic, dataset, or comparable proof that travels before a buyer meets the team.
Your motion changes with deal size, and so should your measurement
Mid-sized providers can work a larger account set with founder-led distribution and a tight entry offer. Enterprise providers need fewer accounts, more stakeholders, and more forms of proof.
Dimension | Mid-sized provider targeting startups and scaleups | Provider targeting enterprise |
|---|---|---|
Market position | Narrow problem, vertical, or channel | Integrated outcome supported by specialist depth |
Active account universe | Approximately 100–300 accounts | Approximately 25 tier-one and 75 tier-two accounts |
Primary authority | Founder and lead practitioner | Executive, industry, technical, customer, and partner voices |
Entry offer | Paid audit, sprint, or 8–12 week pilot | Paid discovery, multi-team proof-of-value, or controlled transformation pilot |
Conversion | Founder-led sale, partner introduction, small peer session | Executive sponsorship, multithreading, procurement, security, role-specific proof |
Expansion | Retainer and adjacent outcome | Multi-team, multi-market, multi-module, or cross-capability share of wallet |
Do not add enterprise complexity before the deal requires it, or apply high-volume lead economics to a small set of high-value accounts.
Sourced revenue, influenced revenue, and account exposure are different outcomes. Keep them separate, and give every motion a leading indicator and a result tied to the sales cycle.
Measure movement through the funnel, not disconnected channel activity
Motion | Leading indicators | Pipeline and revenue outcomes |
|---|---|---|
Position | Opportunity fit; proposal fit | Win rate; ACV; gross margin |
Distribute | Qualified account reach; introductions; partner activity | Partner- and referral-sourced pipeline |
Prove | Citations; buyer sharing; sales usage; product actions | Inbound opportunity; proof-assisted progression |
Convert | Stakeholder coverage; executive meetings; pilot starts | Qualified opportunity; pilot conversion; stage velocity |
Expand | Business reviews; adoption; relationship coverage | Retention; expansion revenue; share of wallet; NRR |
Four priorities for your next growth cycle
For an owner or CMO, four priorities convert the evidence into a reusable asset or a measurable improvement in pipeline.
Connect positioning, proof, distribution, and expansion
Priority | What to do | The test |
|---|---|---|
Own one clear position | Select the buyer problem with the strongest demand, proof, margin, and expansion potential; package a controlled entry offer | Can your target buyer explain why you belong on the shortlist? |
Build one proprietary proof asset | Turn first-party delivery or product data into a benchmark, index, calculator, audit, methodology, or workflow tool | Does the asset create discovery, sales use, product action, or independent validation? |
Move proof through named accounts | Mobilize leaders, clients, referrers, and partners; amplify proven ideas into a defined account set | Does exposure increase stakeholder coverage and pipeline progression? |
Make expansion a growth loop | Manage adjacent outcomes, teams, markets, modules, and usage as a distinct motion | Does delivery create expansion revenue and the next case, referral, dataset, or product insight? |
The winning model is not more activity. It is a focused growth system in which every proof point, distribution motion, product interaction, and client outcome makes the next one more effective.
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