Case studies · SaaS

Go-to-market strategy for a consulting firm with an analytics SaaS product

Consulting buyers and SaaS buyers convert in completely different ways. We built separate paths for each, a four-month CAD 15,500 media plan, modelled acquisition cost and return for both offers, and checked how often AI answers already named the company.

Go-to-Market StrategyPerformance MarketingAI Visibility
Cover page of the Saura Labs case study deck: Go-to-market strategy for a consulting firm with an analytics SaaS product
CAD 15.5K
Four-month paid media plan, CAD 2,500 to 5,000 a month
49 + 54
Modelled consulting inquiries and SaaS trials
5.2×–6.5×
Modelled first-year ROAS for consulting

These are base-case model outputs from the strategy, not achieved results. The consulting workstream was proposal-only.

Industry
Data and technology consulting with an analytics SaaS product
Engagement
Go-to-market strategy development: audiences, messaging, channels, media plan and acquisition model
Channels
Google Search, LinkedIn, Meta and Google Display retargeting, SEO and AI visibility
Studio
Saura Labs, Toronto

01

Two offers required different paths to conversion

The company offered data and technology consulting alongside an analytics SaaS product. Saura Labs developed a proposed acquisition plan for each offer, with separate audiences, messaging and conversion goals.

Consulting services

What buyers needed
Confidence that a partner could deliver a defined project.
Target buyers
Technology, data and operations leaders with a defined initiative, including executive sponsors and technical evaluators.
Positioning
A specialist partner for scoping and delivering data and technology projects.
Creative and offer
A project-scoping brief for sponsors and a delivery walkthrough for technical evaluators.
Conversion goal
A project inquiry that sales can qualify for fit, scope and timing.

Analytics SaaS

What buyers needed
To see the product work for a task their team already handled.
Target buyers
Analytics and operations practitioners and the team leads evaluating tools for them.
Positioning
An analytics product teams can evaluate against a workflow they already manage.
Creative and offer
Short workflow demos with a dedicated landing page for each priority audience.
Conversion goal
A trial registration, followed by a first meaningful action in the product.

Engagement scope: strategy development. The consulting workstream was proposal-only.

03

A four-month media plan that doubled monthly spend

The plan takes monthly paid media from CAD 2,500 to CAD 5,000, for a total of CAD 15,500 across months one to four, and holds CAD 5,000 a month as the run rate from month four onward.

MonthTotalGoogle SearchLinkedInRetargeting
Month 1CAD 2,5001,600900—
Month 2CAD 3,5002,1001,100300
Month 3CAD 4,5002,6001,300600
Month 4CAD 5,0002,8001,400800
TotalCAD 15,5009,1004,7001,700

Month 1 prioritizes Search and LinkedIn to test keywords, account groups and creative. Month 2 adds retargeting as audiences become eligible. Months 3 and 4 reserve incremental spend for campaigns that show stronger lead quality or trial activation. Retargeting splits into CAD 1,100 on Meta and CAD 600 on Google Display.

04

The model: 49 consulting leads and 54 SaaS trials

The four-month media plan base case, offer by offer.

Consulting services

Modelled first-year ROAS
5.2×–6.5×
Modelled volume
49 project inquiries
Paying customers
2 client wins
Paid media investment
CAD 9,250
Blended acquisition cost
CAD 188 per lead
First-year revenue per customer
CAD 24,000–30,000
Modelled first-year revenue
CAD 48,000–60,000

Analytics SaaS

Modelled first-year ROAS
2.9×
Modelled volume
54 trial registrations
Paying customers
5 subscribers
Paid media investment
CAD 6,250
Blended acquisition cost
CAD 115 per trial
First-year revenue per customer
CAD 3,600
Modelled first-year revenue
CAD 18,000

ROAS uses first-year revenue from paying customers and excludes open pipeline. SaaS assumes 12 paid months at CAD 300 per month. Acquisition costs use unrounded modelled volumes. These are model outputs, not achieved results.

05

Organic discovery and AI visibility

Organic discovery could add CAD 31,200–37,200 in first-year revenue. Consulting content focuses on service pages and project-scoping FAQs; SaaS content focuses on use-case pages and workflow guides.

Consulting services

Content focus
Service pages and project-scoping FAQs
Four-month estimate
12 project inquiries, 1 assumed consulting client
Estimated first-year revenue
CAD 24,000–30,000

Analytics SaaS

Content focus
Use-case pages and workflow guides
Four-month estimate
18 trial registrations, 2 assumed subscribers
Estimated first-year revenue
CAD 7,200
30
Buyer questions tested in AI answers
5
Answers mention the company or product
3
Answers cite a company page

The company or product appears in AI answers to 5 of 30 buyer questions, and 3 of those answers cite a company page. Mentions and citations show visibility; the revenue estimate comes from the assumed customer wins above. After SEO, content and customer delivery costs, the organic estimate leaves CAD 9,000–11,400 before company overhead.

06

The takeaway for SaaS and consulting teams

When one company sells both a service and a product, the two rarely share a buyer, a message or a conversion point. Giving each its own path, from audience and creative to landing page and CRM stage, keeps one offer from diluting the other.

Modelling acquisition cost and first-year return before spending turns the media plan into a decision you can defend, and testing buyer questions in AI answers shows how visible the brand already is where research now starts.

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