Koda drives demand for SaaS companies. Then we show you exactly how it affected your MQLs, SQLs, CAC, pipeline, ROAS, and revenue. AI SEO, content and paid media all pointed to the same number.
Your marketing numbers can look good while the business loses money. Most SaaS teams cannot say which channel actually brought in last quarter’s revenue, because every channel reports separately and nothing ties back to the CRM.
B2B SaaS companies need a SaaS marketing agency that understands compounding revenue, buying committees and attribution, not just lead volume, and that knows how to build demand before capturing leads.
Koda works only with B2B SaaS and technology companies. We report the numbers your leadership team already tracks.
Give a generalist agency a SaaS brief and you get the same plan every time. More blog posts, more gated ebooks, more form fills, and a monthly report showing traffic going up while your pipeline stays flat.
A SaaS lead is only worth something if it converts, activates and stays. A 40% jump in MQLs means nothing if the MQL-to-SQL rate drops from 18% to 6%, because your SDRs just absorbed twice the work for the same pipeline. Traffic on “what is workflow automation” will not move ARR when your buyer is a VP of Operations searching for a named competitor. And a CAC that looks efficient in month one becomes a board problem in month twelve if payback runs past 24 months.
A SaaS marketing agency has to hold demand, conversion and retention at once. That is the standard we build to.
We start with your numbers, not a channel plan. ACV, sales cycle length, win rate, MQL-to-SQL conversion, CAC payback and retention tell us which channels can work for you and which will waste your budget. A low-priced self-serve product and an enterprise product with a six-month cycle need completely different marketing, even in the same category.
Search, paid LinkedIn, email and content all write back to your CRM with consistent UTM structure and agreed lifecycle stages. By month three you open one dashboard and see cost per SQL, pipeline created and closed-won revenue by channel.
We interview your sales team, read lost-deal notes and sit in on demo recordings before writing a single ad. Most underperforming SaaS campaigns fail on messaging and targeting, not bid strategy. Fixing the brief is cheaper than raising the budget.
Paid stops the day you stop paying. Organic search, AI search visibility and owned content keep producing after the invoice clears. We run both and shift the mix as CAC payback improves, so you are not permanently dependent on ad spend to hit a number.
Koda covers the channels that actually move revenue for B2B software companies. Take the full engagement or plug us into a single gap.
The measurement layer stays the same either way.
Your buyers no longer start on Google only. They ask ChatGPT, Perplexity and Google’s AI Overviews for a shortlist, and a growing share of that research ends without a click. Ranking is half the job now. Getting cited is the other half.
Our AI SEO for SaaS is built around the searches that matter to your business, so you show up in front of buyers who are actively looking to buy, not people reading up on the topic.
Lower blended CAC over 9 to 12 months, reduced dependence on paid spend, visibility inside AI answers where competitors are still absent, and organic traffic that converts at demo-request rate rather than newsletter rate.
Structured content, clear entity definitions and citable formatting so large language models surface your product when buyers ask for recommendations.
Crawl and index management for app subdomains, programmatic pages, documentation and marketing sites running on separate stacks.
We map your coverage against the top three competitors and close the gaps, sitting closest to purchase intent.
Protecting rankings and traffic through domain moves, category repositioning and full site rebuilds.
Grow your SaaS business with paid campaigns built on real data. From Google Ads to LinkedIn, we run and improve your campaigns so more of your spend turns into customers.
Choosing the right paid channel is the first decision that changes your economics. Google captures buyers already in the market. LinkedIn creates demand inside accounts that do not know you exist. Deal size decides how much of each you can afford.
Lower cost per SQL, budget moved out of campaigns that generate clicks but no opportunities, and a clear read on which keywords produce revenue versus which produce demo no-shows.
Competitor terms, category terms and high-intent problem queries are kept in separate campaigns so the budget cannot leak from one into another.
Job title, seniority, company size and account-list targeting. Higher cost per click, far better fit, and the only reliable way to reach an entire committee at named accounts.
Sequenced retargeting for pricing-page visitors, abandoned signups and stalled trials. Usually the lowest cost per acquisition in the whole account.
Category and competitor placements on the sites where SaaS buyers actually build shortlists. Expensive per click, frequently the strongest close rate.
Optimised to activate trial rather than signup, so you stop paying for accounts that never open the product.
Once your deals get large enough, chasing more leads stops working and covering the right accounts takes over. Enterprise software is usually bought by a group of six to ten people, and the ones who can kill the deal almost never fill in a form.
We build tiered account programmes that combine LinkedIn paid and organic with personalised email outreach, so multiple stakeholders inside the same account see one coherent message.
Higher meeting acceptance from target accounts, more multi-threaded deals, shorter cycles on enterprise opportunities, and a measurable lift in win rate against unengaged accounts.
Custom landing pages, tailored research and named-account creative for your 20 to 50 highest-value targets.
Segment-level personalisation by industry, tech stack or use case across 100 to 300 accounts.
Ghostwritten posts that build category credibility. In most SaaS categories, founder content outperforms company page content by a wide margin on both reach and reply rate.
Third-party intent and website signals routed to sales while the account is still researching, not after it has shortlisted someone else.
Shared account definitions, response SLAs and a weekly loop with your SDR team on lead quality.
Most SaaS content fails because it is written by people who have never used the product. Generic ultimate guides rank for a while, convert nobody, and train your audience to see you as a blog rather than a solution.
We write from your product, your customer calls and your category. Positioning first, then content that says something a competitor could not copy and paste.Â
Content your sales team actually forwards to prospects, higher demo request rates from existing traffic, better-educated buyers closing at improved rates, and a library that keeps producing pipeline for years.
Category definition, differentiation and objection handling, documented once so every channel says the same thing.
Comparison pages, ROI calculators, implementation guides and security documentation for the people who evaluate you late in the cycle.
Case studies with real numbers. "Reduced onboarding time by 61%" beats "improved efficiency" in every buyer test we have run.
The three pages that decide most of your conversion rate. Pricing transparency alone moves qualified demo requests noticeably in most tests.
Documentation, templates and in-product education that reduce time to value and support retention, not just acquisition.
The best SaaS marketing services do not sit in separate channels reporting separate numbers. Our agency runs an integrated programme where search, paid, LinkedIn, ABM and content share one message, one measurement model and one budget conversation. This is also where the value of everything above is either proven or lost. If your CRM cannot connect a closed deal back to a first touch, you are guessing at budget allocation every quarter.
Board-ready reporting, budget decisions backed by revenue data rather than opinion, improved LTV to CAC ratio, and an end to the quarterly argument about whether marketing or sales owns the number.
Map your buyer journey and assign each channel a defined role by buying stage and intent level, instead of running five channels that all chase the same bottom-funnel click.
Understand how channels work together to create a pipeline, not just which one happened to get the last click before the demo form.
CAC payback and LTV to CAC broken out by acquisition channel, so you can see which sources bring customers who actually stay.
Move spend between channels based on pipeline contribution and payback period rather than last quarter's plan.
HubSpot, Salesforce, Pipedrive and Zoho. Non-negotiable before we spend a rupee of your budget.
One live view your CEO, CRO and CFO, who can read without needing a marketing translator in the room.
When you work with Koda, you get a dedicated SaaS marketing strategist who owns the account end to end. No account-manager relay, no quiet handoff to a junior in month two. Here is exactly what the first year looks like.
Ready to see where your pipeline is leaking? Let’s Talk
We work only with B2B SaaS and technology companies, and we will not launch a campaign until your CRM is connected. From month three you can see cost per SQL, pipeline created and closed revenue by channel instead of a report full of impressions. Plenty of agencies can run ads. Fewer can tell you what those ads were worth.
It depends on your deal size and how you sell. When deals are small and customers sign up on their own, volume matters most, so SEO, product-led content and Google search usually lead. When deals are large and a group of people has to approve the purchase, LinkedIn and ABM carries more weight. We recommend a mix after we look at your numbers, not before.
Paid campaigns produce readable data in 30 to 45 days and meaningful optimisation from month two. SEO and content compound more slowly, typically showing real pipeline contribution between months four and eight. Attribution and conversion fixes often return fastest because they improve everything already running.
Both, though the engagements look different. Pre-product-market-fit companies need positioning, messaging and one repeatable channel before scale spend makes sense. Series A and beyond usually need channel expansion and measurement discipline. We will tell you honestly if you are too early for what we do.
Yes, and a large share of our clients are structured that way. Some hand us paid and search while they run product marketing and lifecycle. Others use us as the full marketing function. We work inside your Slack, your CRM and your sprint cadence rather than sending deliverables over a wall.
Spend, traffic, conversion rate, MQLs, SQLs, opportunities created, pipeline value, closed-won revenue, CAC, CAC payback period and ROAS by channel. Where the data exists, we add LTV to CAC and retention by acquisition source. The top-line number we hold ourselves accountable to is qualified pipeline.
Failed SaaS engagements usually come down to one of four things. The agency never understood the product, targeting was too broad, there was no attribution so nobody could tell what worked, or the offer was wrong for the buying stage. Our audit identifies which of those applied to you before we propose anything.
Both. Ad copy, landing pages, blog and pillar content, case studies, LinkedIn posts and email sequences are produced in-house. Larger video production and specialist design work are scoped separately or coordinated with your existing partners.
HubSpot, Salesforce, Pipedrive and Zoho on the CRM side, alongside the usual analytics, intent and enrichment stack. If your setup is messy, cleaning it is part of the first phase. We do not build reporting on top of broken data.
One senior in-house SaaS marketer costs more per year than most of our retainers, and you would still need paid media, SEO, content and design capability on top. Our engagements are monthly retainers scoped to channel coverage and account volume. We will show you the side-by-side against an equivalent in-house team during the proposal.
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