Where you are
- Series A
- Series B
- Series C+
- Bootstrapped and profitable
$1M to $10M+ ARR. A marketing lead or small team in place, a sales or product-led motion to feed, and a pipeline target that has to be forecastable.
NewRead our latest case study, published by Google Read it here
For B2B SaaS and B2B scaleups Β· $1M to $10M+ ARR
Predictable pipeline past $10M ARR, for B2B SaaS and B2B companies, takes fast, error-free experimentation and a team that moves before you ask. Senior operators and six in-house AI agents run paid media, ABM, RevOps, SEO, AEO, and GEO as one system, measured on pipeline in your CRM.
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Scaleup wins
PriceLabsDynamic pricing SaaS Official Google case study 243%
peak ROAS increase with AI Max and value-based bidding
Konnect InsightsCustomer experience SaaS $4.2M+
ABM pipeline across six global markets
SignEasyeSignature SaaS 2.6x
pipeline to ad spend across 7+ markets
+79%
more deals from a rebuilt Google Ads account
MoolyaSoftware testing services 14x
ROAS from paid media and ABM together
HubiloEvent platform $294K
pipeline in 90 days from a multi-channel engine
01 Who it is for
Your first channel worked and got you past $1M ARR. Now CAC is creeping up, the board wants a pipeline number you can forecast, and your team has no bandwidth to run seven ad platforms, ABM, and RevOps at once. That is the work we take off your plate.
$1M to $10M+ ARR. A marketing lead or small team in place, a sales or product-led motion to feed, and a pipeline target that has to be forecastable.
Flat monthly fee
Month to month. Never a percentage of ad spend.
Headquartered in New York. Clients across the US, Europe, and APAC.
Under $1M ARR? Early-stage solution $10M+ ARR? Enterprise solution02 The scaleup problem
Spend goes up, activity goes up, and pipeline flattens. For B2B SaaS and B2B scaleups the causes are rarely about effort. They are almost always the same three.
The channel that worked at seed is saturating. CAC climbs every quarter, and the second and third channels never got a real operator behind them.
Browser tracking gets less reliable as spend scales. Ad platforms optimize toward cheap form fills because nobody sends SQLs, opportunities, and won deals back to them.
Changes happen after the monthly review. Creative fatigue, audience saturation, and wasted search terms sit for weeks because no one is watching every account every day.
03 Growth engines
An AI-powered demand gen and RevOps engine, and a proactive team of senior operators with the right intent. Four engines, one team, one CRM pipeline number.
Senior operators plus our Google Ads AI agent.
PriceLabs: 243% peak ROAS increase, published by Google
Read the case studyPush ads that feed ABM and build predictable pipeline.
Hubilo: $294K pipeline in 90 days across Google, LinkedIn, and Meta
Read the case studyCold outreach, LinkedIn, and inbound-led outbound on first-party intent.
Konnect Insights: $4.2M+ ABM pipeline across six global markets
Read the case studyAd platforms connected to your CRM and product, not just your website.
SignEasy: 2.6x pipeline to ad spend with 43% better lead quality across 7+ markets
Read the case study04 What would you choose?
Scaling a B2B SaaS or B2B company past $10M ARR means running more channels with more precision, not more meetings. Here is the honest comparison of the three ways to staff it.
300+ B2B SaaS and B2B companies chose the middle column. The reviews and the case studies are how you check.
Meet an expert05 How we work
Fix the tracking first, rebuild what is leaking, then train every ad platform on the number you actually grow on: pipeline for sales-led B2B SaaS and B2B companies, activated and paying users for product-led SaaS.
Channel and waste audit, click IDs captured, clean conversions
ICP, account lists, and campaigns across Google, LinkedIn, and Meta
SQL, opportunity, and won deals sent back to every ad platform
Budget follows the channels that create opportunities; ABM layered on
Starting weights relative to a form fill, calibrated to your ACV. Bidding learns to chase buyers, not cheap forms.
Channel audit, click IDs stored on every signup, server-side events
Intent and audience clusters, signup and trial pages
Activation, PQL, and paid events sent back from your product
Budget follows paying users across channels
Starting weights relative to a signup, calibrated to your ARPA and activation rate. Bidding learns to find users who activate and pay.
We connect Google Ads, LinkedIn Ads, and Meta to your product, billing, and CRM. Signups, activations, payments, and closed deals are stitched back to the original click, so attribution stays accurate as spend scales and browser tracking gets less reliable.
Ad platforms
GrowthSpree layer
Your backend
06 Results
A selection from the 300+ B2B SaaS and B2B companies we have worked with. Same operating model every time: clean tracking, CRM value data, and every channel trained on pipeline.
PriceLabs Google case study 243% peak ROAS increase
Official Google Ads case study: AI Max and value-based bidding, 4x faster regional scaling
Read case study
SignEasy 2.6x pipeline to ad spend
43% better lead quality across 7+ markets
Read case study+79% more deals
High-intent lead share up from 1.6% to 5.3%, cost per quality lead halved
Read case studyβ84% cost per SQL
460% more qualified leads on lower spend
Read case study
Konnect Insights ABM $4.2M+ ABM pipeline
Six global markets, $520K largest deal
Read case study
Moolya 14x ROAS
About $490K revenue from $35K of ad spend
Read case study
Hubilo $294K pipeline in 90 days
86% lower Google cost per result
Read case study
SmartKarrot 94 SQLs in 2 months
51 opportunities from 1,088 US companies
Read case study300+
B2B SaaS and B2B companies, one operating model.
View all case studiesFounders and marketing leaders from 300+ B2B SaaS and B2B brands, on camera and in their own words.
GrowthSpree brought a level of data-driven rigor to our demand gen that we hadn't experienced before. They didn't just execute campaigns. They built an engine.
βWe got GrowthSpree early, so we were able to start building inbound early. Now inbound contributes a very significant portion of our new monthly revenue.β
βNot thinking about what I am delegating to you and your team, and trusting you: that built in a couple of weeks. GrowthSpree is all about two words, trust and delegation.β
βYou proactively came on board: what does the product do, how will it function. How fast you picked up the ecosystem and the product was faster than my expectations.β
βWe were doing ads, campaigns, everything. The biggest game changer was understanding the logic behind why and how things were working, and that only came because your smart team was in the picture.β
07 FAQ
Still deciding?
Thirty minutes with the senior operator who would run your account. Bring your CAC and pipeline target.
Meet an expertB2B SaaS and B2B companies from about $1M ARR to $10M ARR and beyond, usually post-Series A, with at least one channel already working and a sales or product-led motion to feed. The problem at this stage is rarely a lack of activity. It is channel concentration, rising CAC, and attribution that stops telling the truth as spend grows.
Paid media across Google, LinkedIn, Meta, Reddit, Capterra, G2, and ChatGPT ads; account-based marketing including signal-based, LinkedIn, and outbound ABM; RevOps on HubSpot or Salesforce; conversion tracking that connects every ad platform to your CRM and product backend; landing pages and creatives; and SEO, answer engine optimization and GEO through Salient. One senior team owns all of it, and every channel reports into the same CRM pipeline number.
Six in-house agents watch every account around the clock: system monitoring, lead quality filtering, prospecting, keyword and search term analysis, creative fatigue, and reporting. They surface drops, waste, and saturation in hours instead of at the monthly review. A senior operator decides every change. AI does the watching; operators make the calls.
Days 1 to 7: channel and waste audit, click IDs captured, clean conversions. Days 8 to 21: ICP, account lists, and campaigns rebuilt across Google, LinkedIn, and Meta. Days 22 to 60: SQL, opportunity, and won deals sent back to every ad platform so bidding learns to chase buyers, not cheap form fills. Days 61 to 90: budget follows the channels creating opportunities and ABM is layered on. Product-led companies follow the same shape with activation and paid conversion as the targets.
Usually alongside. Most scaleups we work with have a marketing lead or a small team and no bandwidth to run seven ad platforms, ABM, and RevOps at the same time. We take ownership of execution and the pipeline number; your team keeps brand, product marketing, and strategy, and gets a weekly operating rhythm instead of a monthly deck.
On pipeline and closed-won revenue in your CRM, not on clicks or MQLs. Offline conversions and value-based bidding mean each ad platform is optimized toward the same number you report to the board. Reporting is real time through our AI agents, with a weekly call for decisions.
Google published a Google Ads case study on PriceLabs, which saw a 243% peak ROAS increase with AI Max and value-based bidding. Konnect Insights built $4.2M+ of ABM pipeline across six markets. SignEasy reached 2.6x pipeline to ad spend across seven markets. DataHub won 79% more deals from a rebuilt Google Ads account. Moolya reached 14x ROAS from paid and ABM. Results vary by ACV and sales cycle, which is why targets are set from your CRM data, not promised on a sales call.
A flat monthly fee, month to month, scoped to the channels and motions you need. No percentage of ad spend, so there is no incentive to spend more than the pipeline justifies.
The early-stage and enterprise solutions, our channel services, the AI agents, and original research.
Under $1M ARR? Two programs for early-stage B2B SaaS and B2B, from customer discovery to repeatable pipeline.
Senior-operator Google Ads management tied to pipeline, featured in a Google case study.
LinkedIn Ads built for cost per SQL and pipeline, with QLA attribution.
Why AI does the watching and senior operators make the calls, and what the six agents do all day.
56 accounts and $9.4M audited: where 32% of B2B SaaS and B2B LinkedIn spend leaks.
Past $10M ARR? Signal-based ABM, multi-region paid media, and RevOps for enterprise B2B SaaS and B2B.