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Axidys Media

Growth marketing for SaaS + e-commerce

Growth marketing builtaround revenue —not channel metrics.

We help SaaS and e-commerce companies acquire the right customers, convert more of the demand they already have, and see exactly where growth is coming from.

What we do:

  • Paid media
  • Paid social
  • SEO + AI search
  • CRO
  • Landing pages
  • Analytics + attribution
  • Lifecycle
Signal mapSchematic · not live data
Signal mapSchematic, not live data: demand from Google, Meta, LinkedIn, SEO, and AI Search flows through acquisition, landing experience, conversion, revenue, and retention. Email returns customers to revenue, and analytics measures every stage.01DemandGoogleMetaLinkedInSEOAI SearchAnalytics02Acquisition03Landing experience04Conversion05Revenue06RetentionLanding PagesEmailCOMPOUNDS ↓

Built for two growth models.

SaaS and e-commerce grow in different ways. The buying cycle, the unit economics, and the numbers that matter are not the same. So we don't run one playbook for both.
Two colleagues review a printed pipeline report in a glass-walled meeting room

SaaS

Pipeline-led growth

Buyers research for weeks, involve more people, and pay back over months. We build acquisition around lead quality and pipeline, not the cheapest form fill.

  • Longer buying cycle01
  • Lead quality02
  • Demo conversion03
  • Pipeline attribution04
  • CAC05
  • LTV06
  • Paid + organic demand capture07
SaaS growth marketing
Two colleagues photograph a ceramic mug against an indigo backdrop in a product studio

E-commerce

Margin-led growth

Orders happen fast and at volume, and every product carries its own economics. We scale acquisition that still makes money after COGS, shipping, and returns.

  • High-volume acquisition01
  • Product economics02
  • Shopping feeds03
  • MER / ROAS04
  • AOV05
  • CRO06
  • Retention07
E-commerce growth marketing

The Revenue Circuit.Five connected stages. One closed loop.

Most growth problems don't sit inside one channel. They sit in the gaps between channels, landing pages, tracking, and retention. The Revenue Circuit is how we close those gaps, so every decision can be traced back to revenue.

01Stage

Discover

Understand the market before buying traffic.

We map where demand comes from, who is worth acquiring, and what competitors already own. Budget follows evidence, not habit.

  • Market research
  • Customer research
  • Competitive intelligence
  • Demand mapping
Output

A demand map and a clear definition of the customers worth paying for.

02Stage

Acquire

Capture demand where buyers already look.

We build paid and organic acquisition around intent and economics. Each channel gets a job, a target, and a budget it has to earn.

  • Google Ads
  • Meta Ads
  • LinkedIn Ads
  • Shopping
  • SEO
  • AI Search
Output

A channel plan tied to target CAC, payback, or MER.

03Stage

Convert

Turn attention into pipeline or orders.

Traffic is expensive. We fix the message, the page, and the flow between click and conversion, then test what moves revenue.

  • Messaging
  • Landing pages
  • CRO
  • Experimentation
  • Checkout / demo flow
Output

A prioritized experiment backlog with clear success criteria.

04Stage

Measure

Know what actually drove revenue.

We connect ad platforms, analytics, and your CRM or store data, so reporting shows pipeline and margin, not just clicks.

  • GA4
  • CRM
  • Server-side tracking
  • Attribution
  • Revenue reporting
Output

Reporting that ties spend to pipeline, revenue, or contribution margin.

05Stage

Expand

Grow the value of every customer you win.

Retention and expansion raise lifetime value. Higher LTV raises the acquisition cost you can afford, which feeds straight back into Discover.

  • Retention
  • Lifecycle
  • Remarketing
  • Upsells
  • LTV optimization
Output

Lifecycle programs that lift LTV and fund the next round of acquisition.

Clicks aren't the objective. Economics are.

Ad platforms report what's easy to count. Businesses run on what they can bank. We connect channel performance to the metrics that decide whether growth is worth paying for.
Illustrative data
  • What it tells you
    What it costs to win one customer, fully loaded the way you choose.
    Decision it informs
    How far each channel can scale before payback breaks.
  • What it tells you
    Leads your sales team accepts as worth working.
    Decision it informs
    Which campaigns earn budget, beyond raw form fills.
  • What it tells you
    Opportunity value sourced or influenced by marketing.
    Decision it informs
    Where to shift spend by segment, offer, and channel.
  • What it tells you
    The share of booked demos that become real opportunities.
    Decision it informs
    Whether targeting and messaging attract buyers or browsers.
  • What it tells you
    The share of trials that convert to paying accounts.
    Decision it informs
    Whether acquisition should push trials, demos, or both.
  • What it tells you
    Customer lifetime value compared with the cost to acquire.
    Decision it informs
    How hard to invest in growth, and in which segments.
  • What it tells you
    How quickly pipeline turns into revenue.
    Decision it informs
    Where deals stall, and which sources bring faster-closing buyers.
Cheap leads vs. real pipeline
Illustrative chart: cheap leads versus real pipelineCampaign A produces more leads than Campaign B, but far fewer of them become sales-qualified leads, opportunities, and closed-won deals. Campaign B produces fewer leads and more pipeline. Illustrative shapes, no real values.CAMPAIGN A · CHEAPER LEADSCAMPAIGN B · MORE PIPELINELEADSSQLSOPPORTUNITIESCLOSED-WONA wins hereB wins here

Campaign A wins on cost per lead. Campaign B wins on pipeline. We optimize for B.

Illustrative data for explanation only. Not client results or benchmarks.

Six disciplines. One growth system.

Each service can stand alone. They work better together, because the constraint on growth rarely sits in a single channel.

01Acquire

Paid Acquisition

Spend that scales with your unit economics.

We run paid search, shopping, and paid social against the numbers the business cares about: CAC, pipeline, MER, and margin. Budget moves to what earns it.

  • Google Ads
  • Microsoft Ads
  • Meta Ads
  • LinkedIn Ads
  • Shopping / Performance Max
  • Retargeting
A marketer at a desk reviews campaign bars on a large monitor, one bar highlighted in indigo
01 · Budget moves toward channels below target CAC

02Acquire

SEO + AI Search

Be found by buyers in search results and AI answers.

Organic demand compounds. We fix the technical foundation, build pages that match buying intent, and improve how your brand shows up in AI-generated answers.

  • Technical SEO
  • Commercial content
  • Programmatic opportunities
  • Digital PR strategy
  • AI search visibility
  • Search demand capture
A strategist pins an indigo thread from a question card to a printed page outline on a corkboard
02 · Pages built for buying intent, cited in AI answers

03Convert

Conversion Rate Optimization

More revenue from the traffic you already pay for.

We find where buyers drop off, form a hypothesis, and test changes that move demos, trials, or orders, not just button clicks.

  • Research
  • Heatmaps
  • Landing pages
  • Experiment design
  • Funnels
  • Checkout / demo optimization
Two colleagues compare two printed versions of a web page, one with its button circled in pencil
03 · Every test starts with a written hypothesis

04Convert

Creative + Landing Experiences

Messaging that earns the click and keeps the promise.

Ads and landing pages should say the same thing. We develop creative strategy, offers, and pages as one system, with variants built to be tested.

  • Ad creative strategy
  • Landing page design
  • Messaging
  • Offer development
  • Experiment variants
A strategist compares an ad on a phone with the matching landing page on a laptop
04 · The page confirms the promise the ad made

05Measure

Analytics + Attribution

Numbers you can make budget decisions on.

If tracking is broken, every other decision is a guess. We connect ad platforms, analytics, and CRM or store data so spend ties to pipeline and revenue.

  • GA4
  • Google Tag Manager
  • CRM attribution
  • Server-side tracking
  • Dashboarding
  • Revenue measurement
An analyst draws three data sources flowing into one point on a whiteboard
05 · One path from click to revenue report

06Expand

Lifecycle + Retention

More value from customers you've already won.

Retention raises LTV, and LTV sets what you can pay to acquire. We build email, remarketing, and segmentation around repeat purchase and expansion.

  • Email
  • Remarketing
  • Customer segmentation
  • Repeat purchase
  • Lead nurture
  • Expansion
A marketer reviews a sequence of email layouts on a tablet by a window
06 · Retention raises LTV, and LTV funds acquisition

The same playbook can't grow both models.

A SaaS buyer may research for months and bring in a buying committee. An e-commerce buyer may decide in one session. Tactics that work in one model often break in the other.

SaaS: a long path to revenue

Weeks to months

  1. Search
  2. Landing page
  3. Demo / trial
  4. Nurture
  5. Sales
  6. Revenue
Measure
SQLs, pipeline, and win rate, not form fills.
Where it breaks
Bidding to cheap leads that sales never accepts.

E-commerce: a short path that repeats

Minutes to days

  1. Ad / search
  2. PDP / category
  3. Cart
  4. Purchase
  5. Repeat purchaseloops back to the start
Measure
MER, contribution margin, and repeat rate, not platform ROAS alone.
Where it breaks
Scaling campaigns that look profitable in-platform and lose money after COGS and returns.

What changes between models

Buying cycle
SaaSWeeks to months, often several decision-makersE-commerceMinutes to days, usually one buyer
Conversion event
SaaSDemo request, trial start, or qualified leadE-commercePurchase
Efficiency metric
SaaSCAC payback and LTV:CACE-commerceMER and contribution margin
Attribution
SaaSCRM stages, offline conversions, long windowsE-commercePlatform-independent revenue checks, short windows
Creative's job
SaaSBuild credibility and qualify intentE-commerceCreate product desire and a decision now
Retention lever
SaaSActivation, adoption, and expansionE-commerceRepeat purchase and replenishment

Platforms we work with.

We work inside the tools you already use. Where the stack has gaps, we'll explain what's missing and why it matters for measurement.
  • Google Ads
  • Meta
  • LinkedIn
  • Microsoft Ads
  • GA4
  • Google Tag Manager
  • Search Console
  • Shopify
  • Klaviyo
  • HubSpot
  • Salesforce
  • Stripe

Platform names are trademarks of their respective owners. Listing a platform describes where we work. It does not imply a partnership, certification, or endorsement.

How an engagement runs.

Six phases, each ending in a decision. You always know what's happening, what you'll receive, and what comes next.

Diagnose

What happens
We review accounts, tracking, funnels, and customer data to find where growth is being lost.
You receive
A diagnostic with constraints ranked by likely revenue impact.
Decision next
Which constraints to model first.

Model

What happens
We model your unit economics: target CAC, payback, contribution margin, and the spend levels they can support.
You receive
A growth model with efficiency targets by channel.
Decision next
What “good” looks like, in numbers finance and marketing both accept.

Prioritize

What happens
We score every opportunity by expected impact, confidence, and effort.
You receive
A ranked roadmap and an experiment backlog.
Decision next
What to build first, and what to leave alone.

Build

What happens
We fix tracking, restructure accounts, and build the pages and creative the roadmap calls for.
You receive
Working infrastructure: campaigns, pages, tracking, and dashboards.
Decision next
Which hypotheses to test first.

Experiment

What happens
We run structured tests across ads, offers, pages, and funnels, each with a written hypothesis and success criteria.
You receive
Results, learnings, and recommended next actions.
Decision next
Which winners to roll out, and where to scale.

Scale

What happens
We move budget into what's proven, open new channels or segments, and keep the backlog full.
You receive
A scaling plan with efficiency guardrails.
Decision next
Where the next constraint sits. Then the loop starts again.

What working together looks like.

Clear priorities, visible work, and reporting in the language of the business.
Operating cadence12-week view
RhythmWeek 1Week 2Week 3Week 4Week 5Week 6Week 7Week 8Week 9Week 10Week 11Week 12
Always on
Weekly or biweekly
Monthly
Quarterly
  • Always onShared experiment backlog and live reporting
  • Weekly or biweeklyWorking session: priorities, test status, blockers
  • MonthlyPerformance review against commercial metrics
  • QuarterlyGrowth planning: model refresh, roadmap, budget scenarios
  1. 01

    Shared growth priorities

    One ranked list, agreed with your team and revisited as results come in.

  2. 02

    Transparent experiment backlog

    Every test is visible: hypothesis, status, result, and what we learned.

  3. 03

    Weekly or biweekly communication

    A regular rhythm set to your pace, with async updates in between.

  4. 04

    Clear KPI ownership

    Every metric has an owner, a target, and a definition both teams agree on.

  5. 05

    Commercial reporting

    Reports lead with pipeline, revenue, CAC, and margin. Channel metrics explain the story. They don't replace it.

  6. 06

    Documented learnings

    Results and decisions are written down, so knowledge stays with your business.

  7. 07

    Senior strategic oversight

    Strategy, priorities, and reporting get senior review, not just day-to-day account management.

Where is growth being lost?

Answer five questions for a general read on where your biggest opportunity is likely to sit. It takes about a minute.A directional starting point, not an audit. It doesn't project revenue or promise results.
Business model
Primary objective
Monthly paid-media spend (USD)
Biggest constraint
Primary platform

0 of 5 answered

Your result appears here once all five questions are answered.

You’ll get a general category, why it matters, and what we would look at first. No revenue projections.

Practical guides for growth teams.

Frameworks, checklists, and definitions we use ourselves. Free to read, no email required.
All resources

Questions, answered.

Still deciding? A Growth Audit is the quickest way to see whether we're a fit.

Get a Growth Audit
What types of SaaS companies do you work with?
Software companies that sell through demos, free trials, freemium, or self-serve plans. We're most useful once the product has paying customers and the question has shifted to growing acquisition efficiently. The work changes depending on whether growth is sales-led, product-led, or a mix of both. See SaaS growth marketing.
What types of e-commerce companies do you work with?
Brands that sell their own products online, direct to consumers, including brands built on Shopify. We fit best where the business knows its product margins, or wants help working them out, and wants growth that holds up at the contribution-margin line. See e-commerce growth marketing.
What channels can you manage?
Google Ads (including Search, Shopping, and Performance Max), Microsoft Ads, Meta, and LinkedIn for paid media, plus SEO, AI search visibility, email and lifecycle programs, and landing pages. The channel mix comes from your model and your economics, not from a default package.
Do you work alongside internal marketing teams?
Yes. We can own specific channels, cover gaps your team doesn't, or act as the strategy and experimentation layer across channels. Ownership is agreed up front, so there's no overlap and nothing falls between teams.
How do you measure performance?
Against commercial outcomes agreed at the start: pipeline, CAC, and payback for SaaS; MER, contribution margin, and lifetime value for e-commerce. Platform metrics help diagnose problems, but they don't decide success. If tracking can't support those measures yet, fixing it becomes an early priority.
How does onboarding work?
We start with access and a diagnostic: ad accounts, analytics, CRM or store data, and your current priorities. Then we agree on targets and a first-phase roadmap. You'll know what we're working on, and why, before campaign changes begin.
How quickly can campaigns launch?
It depends on what the diagnostic finds. If accounts and tracking are sound, changes can start soon after onboarding. If tracking is broken, we fix measurement first, because optimizing on bad data costs more than a short delay. You'll get a timeline after the diagnostic, not before.
Do you handle creative and landing pages?
Yes. We develop creative strategy, messaging, and offers, and we design and build landing pages and test variants. If you have in-house design or brand teams, we work to your guidelines and brief them directly.
Do you work with existing ad accounts?
Yes, and we usually prefer to. Existing accounts hold history and learning that a rebuild throws away. If restructuring is needed, we'll explain why before making changes.
What does an engagement typically include?
Most engagements combine a diagnostic, a growth model, and ongoing work in the disciplines that matter most for you: paid media, SEO, CRO, analytics, creative, or lifecycle. Scope follows the constraint, so engagements differ. A Growth Audit is the usual starting point.

Next step

Find the constraint before spending more to scale it.

Get a structured review of your acquisition, conversion, and measurement setup, and see where growth is being lost.

Get a Growth Audit

No exaggerated promises. No generic deck. Just a clear view of the growth system.

Acquisition
Account structure, targeting, budget allocation, and search coverage.
Conversion
Landing pages, funnels, offers, and message match.
Measurement
Tracking, attribution, and whether reporting reflects revenue.