Cases
Gardiff supplies/installs/services commercial catering equipment for hospitality.
Commercial catering equipment & services
Gardiff had strong inbound demand, but too many inquiries were mismatched (budget). Closense.ai turned sales conversations into a weekly voice-of-customer loop for marketing: recurring purchase triggers, the words buyers used for “must-have” specs, and the objections that stalled deals. Marketing rewrote service pages and RFQ forms around real qualification signals, and built campaigns (kitchen refurb vs new opening vs urgent repair). Pipeline quality improved and close rates rose without increasing ad spend.
Gardiff
High inquiry volume, inconsistent qualification, and “quote churn.”
Outcome
+18% quote-to-order
+12% new revenue
−25% wasted site visits
What’s Next
01
Launch venue-specific landing pages (restaurant, hotel, care home, chain).
02
Build an “equipment replacement checklist” lead magnet from top call questions.
03
Add qualification gates to RFQ (site survey readiness, power/gas, timeline).
04
Create an objection-first section on key pages (lead time, install, maintenance, warranty).
05
Expand coverage to more call channels and include post-install service conversations for retention/upsell.
Flavor & The Menu is a foodservice media company (print + online + newsletter) focused on menu development trends.
Foodservice media / publishing
Flavor sold sponsorships, partnerships, and subscription offers, but messaging leaned “editorial” while buyers asked for measurable outcomes. Closense.ai analyzed sales and partner calls to identify what advertisers actually valued (audience quality, activation formats, distribution guarantees, category exclusivity). Marketing rebuilt the media kit, package naming, and landing pages using buyer language and added proof blocks aligned to decision criteria. Conversion improved materially, renewals rose, and revenue accelerated.
Challenge:
Sponsor pipeline was healthy, but conversion and renewals lagged due to unclear value framing.
Outcome
+85% revenue in 12 months
+20% conversion on sponsor packages
+30% higher renewal rate
What’s Next
01
Create sponsor landing pages by category (CPG, ingredients, equipment, distributors).
02
Add an “activation menu” builder based on the top 10 sponsor asks.
03
Build a quarterly sponsor insights report using call themes as content.
04
Standardize renewal plays triggered by call tags (new product launch, geo expansion).
05
Extend analysis into customer success calls to lift NRR across packages.
Solidrange builds platforms for cybersecurity and enterprise GRC challenges.
Cybersecurity
GRC platforms/services
Solidrange’s marketing spoke about “platform features,” while buyer conversations centered on audit pain, framework coverage, and operational overhead. Closense.ai surfaced the highest-frequency objections (implementation effort, evidence workflows, ownership) and the proof buyers demanded (framework mapping, time-to-value, reporting outputs). Marketing rebuilt ads, one-pagers, and website sections around those themes, leading to higher-intent leads and improved opportunity conversion.
Challenge:
Message mismatch between marketing and buyer evaluation criteria.
Outcome
+19% demo-to-opportunity
−18% CPL
+12% pipeline created
What’s Next
01
Launch industry landing pages with framework-specific proof (finance, healthcare, government).
02
Publish an “audit readiness” guide derived from top buyer questions.
03
Build competitor comparison pages from call mentions and evaluation checklists.
04
Add qualification gates for maturity level (manual vs semi-automated vs GRC suite).
05
Expand into post-sale conversations to reduce churn via expectation alignment.
BlockPeer unifies trade lifecycle (tokenized documents, stablecoin-based trade finance, treasury ops).
tokenized trade documents
trade finance platform
BlockPeer sold a complex product where buyers needed clarity on compliance, counterparties, and workflow change. Closense.ai extracted real buyer language from sales conversations—what “trust” meant, where deals stalled, and which proof points removed doubt. Marketing rebuilt positioning around “cash conversion cycle” outcomes, added compliance proof blocks, and created segment pages for shipping liners, forwarders, and traders. Deals moved faster and ACV increased.
Challenge:
Complex category + multiple buyer types + long evaluation cycles
Outcome
+13% new revenue
−30% cycle length
+20% deal size
What’s Next
01
Segment the sales motion by buyer type (trader, forwarder, carrier, finance) and lock a playbook for each.
02
Improve qualification with non-negotiables (trade volume, corridors, counterparties, compliance).
03
Increase ACV with packaging discipline (modules, transaction tiers) and reduce early discounting.
04
Proposal QA + security/compliance readiness: every proposal includes workflow map, risk controls, and ROI drivers from calls.
05
Cover onboarding and adoption calls to shorten time-to-value and trigger expansion when usage and intent signals appear.
Fished is cloud-based software for seafood businesses (purchasing, sales, inventory, invoicing).
seafood industry software/ERP
Fished had demand, but marketing attracted mixed segments (too small, wrong workflows, different compliance needs). Closense.ai analyzed discovery calls to define a sharper ICP: the buyers who cared most about traceability, inventory accuracy, and multi-location operations. Marketing rebuilt pages by workflow (processor vs trader), updated lead forms with ICP gates, and published content answering the most repeated pre-demo questions. Lead quality rose and revenue followed.
Challenge:
Broad positioning produced broad leads, not predictable wins
Outcome
+28% site→demo conversion
+15% new revenue
−35% wasted demos
What’s Next
01
Build workflow-specific discovery tracks (processor vs trader vs distributor)
02
Add qualification gates for migration readiness and integration needs
03
Create a “time-to-value” implementation plan used in every deal
04
Coach reps on risk calls where adoption concerns appear
05
Extend into onboarding/support conversations to reduce churn and generate expansion plays.”
sellerfox tracks listing changes, Buy Box, errors, and KPIs for Amazon sellers.
Amazon analytics tool
sellerfox had a clear product, but marketing leaned too “feature-heavy.” Calls revealed what really sold: preventing revenue loss from silent listing changes, Buy Box issues, and ranking drops. Closense.ai extracted the top triggers and objections and turned them into message angles and landing pages by use case (agencies vs brands, troubleshooting vs growth). Lead quality improved and pipeline increased while lowering CPL.
Challenge:
Traffic existed, but conversion and lead quality were inconsistent.
Outcome
−25% CPL
+23% landing conversion
+14% pipeline
What’s Next
01
Launch persona landing pages (agency, aggregator, brand operator).
02
Create a “revenue leakage calculator” based on common call scenarios.
03
Build an objection-first page addressing “we already use X” comparisons.
04
Add form qualification (SKU count, marketplaces, agency vs in-house).
05
Extend insights into onboarding calls to lift activation and retention.
Effectmakers provides revenue management / trade promotion / planning platform for CPG.
revenue management for CPG
trade promotion
Effectmakers’ buyers cared about profitable growth, but marketing content was hard to scan and too platform-oriented. Closense.ai identified the language buyers used for baseline vs promo uplift, the decision criteria used by commercial teams, and the proof needed for adoption. Marketing rebuilt positioning around margin outcomes, published “promo effectiveness” playbooks, and simplified the demo path by use case. Revenue rose and deal size increased with clearer value.
Challenge:
Long cycles and misaligned expectations between commercial, finance, and operations stakeholders.
Outcome
+13% new revenue
2× margin
20 hours/month reporting overhead
What’s Next
01
Standardize multi-stakeholder discovery (commercial, finance, category, KAM) with a single scorecard and call checklist.
02
Qualification gates: only progress deals with defined promo volume, planning cadence, data availability, and executive owner.
03
Increase deal size via packaging discipline (use-case modules, rollout phases, analytics depth) and stop discount-first behavior.
04
Proposal QA: every proposal must map to margin drivers, baselines, and measurable outcomes agreed on calls.
05
Expand into post-sale calls to track adoption, prove ROI, and trigger regional/portfolio expansions.
Comintelli’s Intelligence2day is a market & competitive intelligence platform; includes AI tool Telli.
market & competitive intelligence platform
Comintelli’s marketing spoke to “platform breadth,” but calls revealed that buyers cared most about workflows: collecting sources, stakeholder reporting, and proving impact. Closense.ai built a weekly VOC loop that translated conversations into messaging updates, landing pages by use case (CI teams, strategy, product), and objection-first proof sections. Sales conversion improved significantly and revenue became more predictable.
Challenge:
Buyers asked, “How will this work inside our org?”—marketing answered with feature lists.
Outcome
+20 pp conversion
−20% wasted spend
+15% revenue
What’s Next
01
Standardize workflow discovery and certify reps on “day-one value”.
02
Qualify for maturity level and stakeholder footprint before progressing stages.
03
Build an ‘impact reporting’ upsell to increase ACV.
04
Create a coaching library for the top adoption objections.
05
Extend coverage into renewal and expansion conversations to grow seats across departments.
Duck.Design is unlimited design on a flat monthly subscription.
design subscription
Duck.Design had high interest, but buyers struggled to choose the right plan and expected different turnaround/service levels. Closense.ai mined sales conversations for what clients actually bought (speed, reliability, brand consistency, capacity without hiring) and what created hesitation (process, revisions, ownership). Marketing simplified the plan narrative, built pages by use case (ads, web, brand, motion), and added proof blocks addressing the top objections. Conversion and plan value increased.
Challenge:
Confusion around “unlimited,” boundaries, and how work gets done.
Outcome
+28% conversion
+20% average plan value
+12% new revenue
What’s Next
01
Build persona pages (Founder, Marketing Lead, Product, Agency).
02
Add a “request-to-delivery” transparency page using call-derived questions.
03
Launch retargeting sequences by objection cluster (speed, quality, process).
04
Add qualification gates (volume, asset types, turnaround expectations).
05
Expand into post-onboarding calls to drive retention and upsell tiers.
NinjaPromo provides subscription-based dedicated marketing teams.
subscription-based marketing teams
NinjaPromo’s challenge wasn’t demand—it was communicating what the subscription replaces: fragmented freelancers, one-off agencies, and slow hiring. Closense.ai extracted the language prospects used when describing chaos (lack of process, inconsistent execution, no ownership), then turned those themes into sharper positioning, landing pages by team structure, and objection-first proof blocks (hours vs outcomes, governance, reporting, quality control). Conversion improved and ACV increased.
Challenge:
Prospects wanted outcomes and operating rhythm, but marketing often sounded “services list.”
Outcome
+20pp conversion
+20% ACV
+15% revenue
What’s Next
01
Launch industry pages where call patterns are strongest (SaaS, fintech, ecom).
02
Build an ROI story page: “subscription vs hiring vs agencies,” grounded in call language.
03
Tighten qualification to eliminate “one-month tourists” (budget commitment, internal owner, readiness to collaborate).
04
Increase ACV by packaging around outcomes (pipeline, CAC reduction, creative velocity) and preventing early discounting.
05
Proposal QA: every proposal must include a 90-day plan, governance cadence, and metrics agreed on calls.
Maverick Frame creates architectural rendering/CGI and high-volume visual assets.
CGI
3D visualization studio
Maverick Frame’s prospects loved the visuals, but deals slowed when expectations weren’t defined: rounds, revisions, delivery timelines, and stakeholder approvals. Closense.ai extracted the most common “expectation gap” moments from sales conversations and turned them into clearer packages, a better creative brief flow, and an objection-first proof section (process, turnaround, consistency at scale). With better clarity, sales cycles shortened and deal size increased.
Challenge:
High-ticket creative services require airtight expectation setting.
Outcome
+20% deal size
−30% cycle
+13% new revenue
What’s Next
01
Build pages by use case (real estate pre-sales, interiors, product CGI).
02
Publish a “briefing kit” that reduces revisions and speeds delivery.
03
Add qualification gates (asset volume, timeline, approval structure).
04
Launch objection-first retargeting (turnaround, revisions, consistency, scale).
05
Extend insights into delivery calls to lift retention and repeat work.
Fortifi Bank offers personal and business banking; long-standing bank since 1876.
community bank
Fortifi Bank handled a wide range of customer conversations across personal and business products. Marketing struggled to identify which messages drove the right inquiries—and where prospects dropped due to confusion or mismatched expectations. Closense.ai categorized conversations by intent (checking, lending, treasury, digital banking), extracted friction points, and helped marketing rebuild product pages and campaigns around the questions customers actually asked. Inquiry conversion improved and misrouted leads dropped.
Challenge:
Many products, many intents, and inconsistent handoffs—leading to leakage.
Outcome
+11% inquiry conversion
+15% new-account revenue
−35% misroutes
What’s Next
01
Launch intent-based landing pages (home, auto, small business, treasury).
02
Add “plain-language” FAQs from top call questions to reduce drop-off.
03
Improve qualification gates and routing to the right specialist team.
04
Increase revenue per customer with cross-sell plays triggered by call signals (new business, payroll, cash flow needs).
05
Proposal/offer QA: ensure every offer reflects customer goals, and success criteria captured in calls.
Sales-led SaaS (200–500)
Sales-led SaaS team scaling fast; managers couldn’t QA enough calls, so coaching was inconsistent and revenue execution varied by rep.
200–100% calls QA’ed
150+ more calls evaluated MoM
This team evaluated only a tiny call sample. Coaching was slow and inconsistent, and managers missed repeatable patterns. Closense.ai enabled full capture and automated QA routing, increasing call evaluations by 150+ month-over-month while cutting coaching effort by 80%. With stronger execution discipline, conversion improved and revenue became more predictable.
Challenge:
Manual QA didn’t scale. Managers relied on random sampling and anecdotal feedback, which created blind spots and uneven performance.
Outcome
100% calls QA’ed
+150+ calls evaluated MoM
−80% coaching time
What’s Next
01
Standardize the top-performing call playbook and certify reps on it.
02
Enforce “next step required” and stage gates based on call evidence.
03
Add stronger deal-risk flags (early discounting, no decision path).
04
Tie QA metrics to pipeline and forecast dashboards for leadership visibility.
05
Expand coverage into onboarding and renewal conversations to lift retention and expansion.
AI Software (40–120)
New-category AI product; prospects were interested but unsure how to evaluate it, so deals stalled and sales cycles dragged.
Clarified category and accelerated deals
Prospects were curious but confused about how to evaluate the product category. Closense.ai extracted “confusion moments” from sales conversations and helped marketing simplify positioning, add category education, and publish an evaluation guide. With clearer messaging, deals moved faster and revenue increased.
Challenge:
Marketing overexplained features and underexplained “why it matters,” causing confusion, and slow decisions.
Outcome
+18% demo → next step
−30% cycle length
+13% new revenue
What’s Next
01
Create persona- and segment-specific messaging based on closed-won call patterns.
02
Launch objection-first landing pages with proof blocks and “how to evaluate” sections.
03
Build a category enablement kit: deck, talk track, and call-clip library for reps.
04
Tighten qualification and deal hygiene: success metric + decision path required to progress.
05
Extend insights into onboarding and expansion conversations to improve NRR and reduce churn risk.
Healthcare Services (45–160)
Consultative services business; reps often missed needs depth and recommended the wrong package, limiting conversion and average check.
Increased conversion and average check
Reps often skipped needs depth and offered the wrong package. Closense.ai introduced a needs-discovery scorecard and highlighted “package mismatch” moments. Managers coached value framing and structured next steps. Conversion improved, average check increased, and revenue rose across the same lead volume.
Challenge:
Package recommendations weren’t consistently tied to real needs, leading to weak value framing, discount pressure, and mismatched outcomes.
Outcome
+11% conversion
+20% average check
+15% revenue in 6 months
What’s Next
01
Gate pricing behind needs depth, timeline, and decision owner capture.
02
Add a clear upsell ladder to lift average check and reduce ad-hoc discounting.
03
Implement proposal/offer QA: goals, success metric, plan, and next step required.
04
Coach only risk-flag calls (discounting, no next step).
05
Add retention and expansion scorecards for post-sale conversations.
Copyright © 2026 Closense AI. All Rights Reserved
