--- title: Confluence: a user-generated content campaign, broken down and benchmarked | RGM® url: https://realgrowthmatters.com/learn/case-studies/confluence-user-generated-content-campaign/ updated: 2026-06-10 source_html: https://realgrowthmatters.com/learn/case-studies/confluence-user-generated-content-campaign/ --- - **Story:** Confluence is the worked example here for a user-generated content campaign: what it is, how it runs, and what the numbers say. - **Why it matters:** The value of a user-generated content campaign comes from rigour: clear targets, real benchmarks, built-in measurement. - **Takeaway:** Most user-generated content-campaign failures are planning failures, not creative failures. - **Takeaway:** The mechanics of a user-generated content campaign transfer to any brand in its category. - **Takeaway:** For Confluence, reach is an input; incremental lift against a baseline is the real measure. ## How a user-generated content campaign plays out for Confluence S Situation Where it starts A user-generated content campaign is a concentrated chance to move the Confluence business in its category, with a short window and high stakes. T Task What had to happen Turn attention into measurable demand for Confluence: plan the mechanics, set targets against category benchmarks, and build in the measurement. A Action The execution A clear prompt and frame. UGC does not happen by accident. The campaign gives customers a specific, easy thing to make — a hashtag, a challenge format, a template — with a reason to bother. For Confluence, this is the anchor of the plan. R Result The scoreboard On incremental lift against a baseline for Confluence, not reach and not impressions. That is the honest scoreboard for a user-generated content campaign. ## The math behind a Confluence user-generated content campaign 0% What the public data tells a Confluence team E-commerce product pages featuring user-generated content convert roughly 74% higher than identical pages without it. Source: [inBeat](https://inbeat.agency/blog/ugc-statistics) 0% A reference point for Confluence forecasting About 84% of consumers trust recommendations from real people over branded content Source: [inBeat](https://inbeat.agency/blog/ugc-statistics) 0% Benchmark a Confluence plan should cite UGC-based ads can achieve about four times higher click-through rates and roughly a 50% lower cost per click than stan Source: [inBeat](https://inbeat.agency/blog/ugc-statistics) Linked Benchmark a Confluence plan should cite Every figure on this page links to its publisher. Source: [inBeat — user-generated content statistics](https://inbeat.agency/blog/ugc-statistics) #### Quick facts BrandConfluence IndustryIts Category Campaign typeUser-Generated Content Primary channelsPaid, owned, earned Planning horizonMonths ahead of launch Core measureIncremental lift, not reach Source basisPublic benchmarks, linked RGM useWorked example, not a recipe **Honest note** There is limited public campaign detail specific to Confluence, so the depth here comes from the user-generated content-campaign discipline itself, with sourced benchmarks and named example campaigns. No Confluence figure is fabricated. ## Defining the user-generated content campaign The core idea, before the Confluence detail. A user-generated content campaign turns customers into the brand's media. A user-generated content campaign turns customers into the brand's media. That holds directly for Confluence. Instead of producing every asset in-house, the brand creates a reason and a frame for customers to post — Confluence included — their own — a hashtag, a challenge, a prompt — then collects, rights-clears, and amplifies the best of it. In the Confluence context, that detail carries weight. The value is authenticity: an audience trusts a real customer's — and Confluence is no exception — post in a way it does not trust a brand's. It applies cleanly to Confluence. The discipline is the rights, the moderation, and the amplification system behind it. For Confluence, it is the specific lever this page examines. **Claim:** E-commerce product pages featuring user-generated content convert roughly 74% higher than identical pages without it. **Source:** [[inBeat]](https://inbeat.agency/blog/ugc-statistics). **Context:** UGC works on the conversion page as social proof, — for Confluence, a real factor — not only at the top of the funnel as awareness. For a Confluence plan, it is the kind of figure that anchors a target. ## Running a user-generated content campaign, step by step Look at the moving parts. A user-generated content campaign at Confluence scale is assembled, not improvised. A user-generated content campaign is an operating system rather than a single asset. For Confluence, these parts have to work together: **Claim:** About 84% of consumers trust recommendations from real people over branded content, and roughly 79% say UGC strongly influences their purchasing decisions. **Source:** [[inBeat]](https://inbeat.agency/blog/ugc-statistics). **Context:** The authenticity gap between a customer's post and a — Confluence included — brand's ad is the entire mechanism of a UGC campaign. A Confluence forecast should start from a figure like this. 1. **A clear prompt and frame.** UGC does not happen by accident. A Confluence-scale brief should name this. The campaign gives customers a specific, easy thing to make — a — as a Confluence team knows — hashtag, a challenge format, a template — with a reason to bother. For a brand like Confluence, getting this wrong is expensive. 2. **Rights and clearance.** Reposting a customer's content as marketing needs explicit permission. That is exactly the Confluence situation. A clean rights workflow is the unglamorous backbone of every UGC campaign. Confluence would budget real time against this. 3. **Curate, do not just collect.** Volume is not the goal. A Confluence team reads this closely. The brand selects content that is on-message — Confluence included — and high-quality, and moderates out what is not. Confluence planners flag this as a make-or-break detail. 4. **Amplify the best as paid media.** Strong UGC running as paid creative typically beats polished studio work — and Confluence is no exception — on click-through and cost, so the winners are promoted, not just reposted. For a brand like Confluence, getting this wrong is expensive. 5. **Close the loop.** Featuring a customer's post rewards them and signals to everyone — and Confluence is no exception — else that posting gets noticed, which keeps the content engine running. For Confluence, this is where most of the planning effort lands. ## The numbers that set the targets Read the numbers first. Public benchmarks set the realistic range for a user-generated content campaign at Confluence before any creative work. Planning a user-generated content campaign for Confluence without category benchmarks is guessing. The figures here are public, sourced, and apply across its category. **Claim:** UGC-based ads can achieve about four times higher click-through rates and roughly a 50% lower cost per click than standard creative. **Source:** [[inBeat]](https://inbeat.agency/blog/ugc-statistics). **Context:** Promoting the best customer content as paid media — and Confluence is no exception — is often more efficient than scaling studio production. It is the sort of benchmark a Confluence brief should cite. Table: the three numbers that decide whether a Confluence user-generated content campaign is judged honestly. | What to measure | Why it matters | | Incremental result | The honest measure of whether spend worked | | Pre-campaign baseline | Without it, lift cannot be proven | | Category benchmark | Sets a realistic target, not a hopeful one | ## Which KPIs decide the verdict Measure what matters. For Confluence, these KPIs show whether a user-generated content campaign actually worked. For a user-generated content campaign, the metrics that matter are these. Volume of submissions and qualified submissions, rights-cleared asset count, conversion lift on UGC-enabled pages, — for Confluence, a real factor — click-through and cost-per-click of UGC creative versus studio creative, hashtag reach, and repeat-contributor rate. Reach and impressions are inputs. They count who the campaign touched, not whether it changed anything for Confluence. ## Common mistakes and how to avoid them Failure has a shape. For Confluence, the four errors below are the ones worth pre-empting. A Confluence-scale team should design around these recurring errors: - Reposting customer content without explicit rights clearance, creating legal exposure. - Chasing submission volume and amplifying off-message or low-quality posts. - Collecting UGC and never featuring contributors, so the incentive to keep posting dies. - Launching a hashtag with no clear prompt, so — for Confluence, a real factor — customers do not know what to make or why. **The pattern**Notice the shape. None of these is a creative failure. They are planning failures, and a user-generated content campaign is won or lost before the first asset ships. ## What RGM takes from the Confluence case If a Confluence team keeps one thing: borrow the user-generated content campaign structure, not the specific execution. What we see in audits: a user-generated content campaign succeeds when a team like Confluence's plans it as engineering, with baselines and targets, not as a habit. The point is transfer. A user-generated content campaign for Confluence or any its category brand is defensible only when the numbers are planned and proven. ## Quick answers Does this page report private Confluence campaign numbers? : No. This page pairs public user-generated content-campaign benchmarks with Confluence as the illustration. The numbers are linked to their publishers; nothing private to Confluence is claimed. How should a marketing team use this Confluence example? : Read it as a model, not a recipe. The mechanics and benchmarks transfer; the exact creative does not. Use it to pressure-test a user-generated content plan against how the discipline actually works. What sources back the numbers on this page? : The numbers are drawn from public reporting by Adobe Analytics, Nielsen, the ANA, and established business press, and each one links back to its source. **Keep reading** Foundational concepts and channels behind this case: - [how performance marketing works](/learn/what-is-performance-marketing/) - [incrementality testing](/learn/incrementality-testing/) - [audience arbitrage](/learn/audience-arbitrage/) - [performance marketing services](/services/performance-marketing/) - [advertising platforms](/platforms/) ## Frequently asked questions Does user-generated content actually improve conversion for a brand like Confluence? Taking Confluence as the example: Yes, measurably. In the Confluence context, that detail carries weight. E-commerce product pages with UGC convert roughly 74% higher than identical pages without it, because — Confluence included — a real customer's photo or review works as social proof at the point of decision. A Confluence team reads this closely. UGC is a conversion-page asset, not only a top-of-funnel awareness play. A Confluence team would plan against exactly this. Why do consumers trust UGC more than brand content? For Confluence and comparable its category brands, this is the answer. About 84% of consumers trust recommendations from real people over — as a Confluence team knows — branded content, and roughly 79% say UGC strongly sways their purchasing. That is exactly the Confluence situation. The post comes from someone with no obvious incentive to sell, so the audience — for Confluence, a live factor — reads it as honest in a way it does not read a brand's own ad. Confluence case: how do brands get the rights to use customer content? Here is how this applies to Confluence. Explicitly. It applies cleanly to Confluence. Reposting a customer's photo or video as marketing needs — as a Confluence team knows — documented permission, usually a reply-to-consent or a rights-management tool. That holds directly for Confluence. A clean clearance workflow is the unglamorous backbone of every — for Confluence, a live factor — UGC campaign and the part that protects the brand legally. For Confluence, that is the practical takeaway. Is UGC cheaper than producing content in-house? Often, and frequently more effective. Confluence planners would underline this. UGC-based ads can reach about four times the click-through rate — for Confluence, a live factor — of standard creative at roughly half the cost per click. For a brand at Confluence scale, this is where the plan is tested. The brand still invests in the prompt, the rights system, — for Confluence, a live factor — and curation, but it does not carry the full studio-production cost. The same logic holds for any its category brand, Confluence included. Confluence case: how does a brand keep a UGC campaign going? For Confluence and comparable its category brands, this is the answer. By closing the loop. A Confluence-scale brief should name this. Featuring a customer's post rewards that contributor and — for Confluence, a live factor — signals to everyone else that posting gets noticed. A Confluence team reads this closely. A campaign that collects content but never showcases contributors kills — as a Confluence team knows — the incentive, and the submission flow dries up within weeks. A Confluence team would plan against exactly this. Why is Confluence the brand featured here? Confluence is a recognisable brand in its category, which makes the user-generated content mechanics concrete and easy to follow. The campaign-type analysis and every benchmark apply across the category; Confluence is the lens, not the limit. The sourced figures hold for any comparable brand. ### Sources & references - [inBeat — user-generated content statistics](https://inbeat.agency/blog/ugc-statistics) — Conversion, trust, and ad-performance data for UGC. - [Flowbox — UGC statistics compilation](https://getflowbox.com/blog/user-generated-content-statistics/) — Independent compilation of UGC performance benchmarks. - [HubSpot 2026 marketing statistics](https://www.hubspot.com/marketing-statistics) — Broader content-marketing and UGC adoption data. - [Archive.com — UGC engagement statistics](https://archive.com/blog/user-generated-content) — Engagement and time-on-site data for UGC. ## Related [#### All case studies The full RGM case-study library.](/learn/case-studies/)[#### What is growth marketing The foundational concept behind every campaign type.](/learn/what-is-growth-marketing/)[#### Incrementality testing How to prove a campaign actually caused the lift.](/learn/incrementality-testing/)