For Marketing & Brand Teams
Test the campaign before it tests you.
You have a strong creative idea. You don't know how the segment will receive it. Currently that gap is bridged by intuition, by focus groups three weeks out, or by a soft launch that doubles as your concept test.
The new context
The world changed.
Has your process?
Production used to be the bottleneck. Generative AI just collapsed it. You can produce ten variants of a campaign in the time it used to take to produce one. Your agency can. Your competitor can. Everyone can.
Which means the customer is now drowning in AI-generated marketing content. Subject lines, landing pages, social posts, product copy, generated images, generated voiceovers. The volume has gone up by an order of magnitude in the last eighteen months. Your customer's tolerance for irrelevance has collapsed in lockstep.
The cost of one tone-deaf message in a sea of AI-generated noise is higher than it was when content was scarcer. The brands that get tuned out are the ones who confuse "we can produce more" with "we should produce more." The ones that get through are the ones who know which variant actually lands, before they spend the impression.
Faster time-to-campaign isn't faster shipping. It's faster correct shipping. The cheapest insurance policy in marketing right now is a thirty-minute test against your real customer panel before the brief goes to the agency.
What Dilog does for marketing & brand teams
Your discovery practice, extended.
Concept-test creative without the focus-group calendar.
Brief, headline, key visual, tone of voice. Get a directional read across three segments by end of day. Not a replacement for full quant when the campaign is your flagship, but a replacement for deciding without any read at all when it isn't.
Iterate the idea before the work really starts.
First-draft creative rarely lands the way the team thought it would. With Dilog, iteration happens before the real work begins. Test the concept, see what's resonating and what's missing, refine the angle, test again. Five rounds of refinement in the time it used to take to run one focus group. The idea that goes into production is the fifth version, not the first, and the team is briefing against something the panel has already responded to.
Test the risky idea privately, before it becomes a screenshot.
The provocative campaign. The price increase announcement. The product discontinuation message. The brand reposition. Sensitive testing with zero leak surface, against your actual customer segments. Brands that misstep here don't always get a second chance. The cost of finding out post-launch is measured in months of recovery, not days.
Calibrate tone by segment.
What lands as "premium" with semi-loyal customers can land as "snobby" with new acquirers. Same words, two reactions, both real. Dilog surfaces the divergence in the comparison view, so you know which message goes to which segment before the brief leaves your inbox.
Walk into the agency meeting with hypotheses already validated.
Most campaign waste happens in the brief, not the execution. Segment-specific messaging directions, pre-tested. The agency does better work when the brief is sharper. You spend less on rounds and revisions.
Run discovery on the work that doesn't justify a research request.
The microcopy. The email subject line. The CTA wording on the landing page. The tone of the customer service auto-reply. Stop guessing on the 80% of brand decisions that never make it to the research backlog.
Pair with your existing brand tracker, don't replace it.
Your tracker tells you what shifted. Dilog tells you why, and which segment drove it. Quant tells you the score. Dilog tells you the story behind the score.
Why not synthetic audiences?
You've seen the pitch. "AI personas." "Synthetic respondents." A vendor promising you can test creative against ten thousand virtual customers in a sidebar.
Synthetic audiences are statistical averages dressed up as people. They tell you what the average of everyone thinks, which is the opinion of nobody in particular. A campaign tested against a statistical average is a campaign tested against nobody. The output is confident, plausible, and frequently wrong. You can't tell when it's wrong until the campaign is live and the data comes back ugly.
Dilog's ARPs are grounded in actual 2–3 hour interviews with your specific customers. Each ARP is evaluated against the real human's responses before it joins your panel, at 86% average accuracy. The contradictions, the irrational loyalties, the cultural references that land or miss, the words that mean different things to different segments. They're in the panel because they were in the conversation.
A synthetic audience will tell you the campaign will work. An ARP panel will tell you which segment it works for, which segment it alienates, and why.
For CMOs and Marketing Directors
A Dilog panel is your team's leverage layer. One setup cost. Ongoing capacity to brief sharper, ship faster, and avoid the campaigns that would have shipped on hope. It compounds across every brand, every product line, every market you run. Run twenty concept tests this year instead of four. Get to market faster on the campaigns that work. Kill the ones that don't before they cost you in production, media spend, and brand equity.
If you've ever signed off on a brand tracker that answered the wrong question three months too late, you already know the gap Dilog fills.
The financial case
A balance sheet item, not a P&L line.
Most research spend disappears the moment the report lands. A Dilog panel works the opposite way. The setup is a one-time capital outlay against an asset that compounds. Year two is worth more than year one.
What you're replacing
A meaningful slice of recurring tracker spend, ad-hoc concept tests, and the focus-group line items that bottleneck the campaign calendar.
What you're enabling
Concept-testing every campaign, not just the flagship ones. Segment-level tone calibration before the brief. Sensitive-topic testing without the leak risk. The work that used to ship on intuition because there wasn't time for research.
What being wrong currently costs you
One brand-damaging campaign moment costs more than five years of Dilog. Brands that misstep on a sensitive topic don't recover in a quarter, they recover over years if they recover at all. The financial argument writes itself the first time you avoid one.
How it works
From kickoff to live panel in 6–12 weeks.
From your priority customer segments through to a live, queryable panel — scoped to your priority campaign and brand decisions.
Define
We work with you to identify 4–6 priority customer segments. Who matters most to the decisions your team actually needs to make.
Build
2–3 hour interviews with real customers from each segment. Every interview becomes an ARP, validated against the source responses before joining your panel.
Activate
Your panel goes live. Any team member can ask any scenario question — concept, copy, price, flow — and receive cohorted responses with supporting quotes.
Update
Quarterly recalibration sessions keep each ARP accurate as attitudes, behaviours, and market conditions shift.
Then continuous from there.
Your customers are ready to talk.
Bring a real brief, a real creative concept, or a real subject line to a 30-minute demo. We'll show you what your panel would say.
Ready to dive in? Start your free trial →