Primer Intelligence
Plan your next play and get guidance. Primer helps you decide what to try, what needs attention, and where to focus next.
Proactive insights and suggestions bring the next opportunity to you.
Primer brings together research, analysis, and suggestions.
Start with research
“What are these companies emphasizing in their ads, and what could we test?”
Research competitors or companies you admire, review their ads and messaging, and find an angle worth testing.
Start with a goal
“We need to generate more qualified opportunities this quarter. What should we test?”
Bring an objective or an early idea. Primer shapes it into an experiment with an audience, an approach, and the reasoning behind it.
Start with results
“What do our results suggest we should try next?”
Turn a finding in your own performance into a hypothesis, with benchmarks from comparable marketers where they help.
Product example: asked what Closewise and Auditrail emphasize in their ads and what to test, Primer shows ad-library examples from LinkedIn and Meta, notes they emphasize faster month-end close aimed at controllers, lists its sources, and proposes testing time-to-close messaging for controllers against current CFO-focused copy. Data shown is illustrative.
Product example: asked what to test to generate more qualified opportunities this quarter, Primer proposes an experiment: finance leaders at SaaS companies with 200 to 1,000 employees, about 18,600 people excluding customers and open deals, reached with Reddit prospecting and a demo-request offer for six weeks, compared with LinkedIn on cost per opportunity, with the rationale behind it. Data shown is illustrative.
Product example: asked what the results suggest trying next, Primer finds that controllers are 12% of the audience but 31% of qualified opportunities over the last 90 days, notes that benchmarks from comparable marketers can shape the experiment, and proposes testing a dedicated controller audience as its own ad set. Data shown is illustrative.
Primer flags campaign settings that work against your goals and suggests plays worth trying, each with why it matters and a recommended next step.
Product example: a campaign health heat map for four campaigns across setup, delivery, lead volume, qualified rate and cost per opportunity, beside suggestions Primer surfaced without a prompt: a configuration issue where Advantage+ audience is on for an ABM ad set meant to reach only 412 target accounts, a performance warning that leads are steady but fewer become qualified opportunities, and a new play to test YouTube for prospecting to controllers. The selected suggestion's cells are highlighted. Data shown is illustrative.
Ask Primer to investigate any part of your digital ad strategy and recommend what to change. You review the evidence and decide.
Product example: asked what to change before spending more, Primer compares three ad sets in Demand Gen – Finance Leaders. Broad finance – Advantage+ has the most leads and lowest cost per lead but one qualified opportunity, at $12,600 per opportunity; Controllers – LinkedIn costs the most per lead but converts best. It recommends pausing the Advantage+ ad set and testing a controllers audience on Meta, as recommendations for the marketer to review. Data shown is illustrative.
Primer intuits your ICP, maps your funnel, and lets you confirm which activities and outcomes matter. Your business context lets Primer interpret performance and make recommendations.
Product example: business context settings in three groups: who you sell to (ICP, buyers, target accounts), how buyers progress (opportunity stage, meaningful pages and an excluded login form, some suggested by Primer for review) and how you go to market (ABM plus demand gen, about a 60-day sales cycle). Excluding login submissions changes marketing conversions from 1,040 form fills to 312. Data shown is illustrative.
You can start an investigation yourself. Supported proactive suggestions also bring issues and opportunities to your attention, with evidence and a recommended next step.
Yes. Connect supported data sources and ask Primer to investigate existing performance. The analyses available depend on the data connected and the history it contains.
Primer helps identify what to adjust and why. You decide which recommendations to act on. Supported audience fixes can be applied by Primer with your approval; campaign and budget recommendations remain decisions for your team to execute.
Where supported, Primer uses evidence from comparable marketers alongside your business context to suggest a play worth testing. Peer results help shape the hypothesis; your own results determine whether it works for you.
Find a play worth testing. Understand what needs attention. Decide what to change next.
Discovery and later
