How do you compare to a stack of point solutions?+
Most teams we talk to are choosing between us and a
stitched-together setup: a CAPI tool, an attribution vendor, a
reverse-ETL layer, a BI consultant, and an agency to keep it
all running. When you add those up, you're usually looking at
₹80K–₹2.5L a month plus integration work. We run the
same workload as a single platform with a named team — which
is why customers tend to move to us from fragmented
stacks, not the other way around.
What actually changes in the first quarter?+
Four things our customers typically report by the end of a
quarter: live in 14 days, not 10 weeks (because
onboarding is done by a named specialist, not a Zendesk
queue); fewer broken pipelines (WhatsApp and Slack
channels catch CAPI failures before they cost you ad spend);
numbers finance doesn't argue with (because we don't do
spend math — your BI team computes ROAS on your own terms,
with full database access to audit every touchpoint); and
the same humans at renewal as at kickoff (our team
doesn't rotate off your account). Those are the things that
don't show up in a feature comparison, but they show up in
your next board deck.
What's the real cost of a bad martech implementation?+
A broken CAPI pipeline doesn't just waste a subscription fee —
it feeds your ad platforms garbage for months before anyone
notices. We regularly see teams who discover, after the fact,
that a misconfigured tool was sending duplicate conversions,
missing offline sales, or dropping half their lead signals.
The damage shows up as inflated CAC (platforms
optimising on fake signal), wasted ad spend (budget
chasing the wrong audiences),
attribution fights (marketing and finance reporting
different numbers to the board), and
months of engineering time to rebuild. For a brand
spending ₹50L a month on ads, even a 10% optimisation drag
from bad data is ₹5L a month — more than most tools
cost in a year. This is why we invest heavily in onboarding,
assign a named human to every account, and give you direct
database access to audit what's flowing through. The tool
itself is rarely the most expensive line in a martech mistake.
Should I start with AdSync, Klarity, or Enrich?+
Depends on where the pain is. If your ad platforms are
optimising on junk signal and your CAC keeps creeping up,
start with AdSync — fixing your CAPI and audience feeds
usually shows impact in 2–4 weeks. If you can't tell which
campaigns actually drove revenue and finance is pushing back
on marketing numbers, add Klarity (or start with the
bundle). If your sales team is burning time on cold leads with
no context, add Enrich. Most customers start with
AdSync or the bundle and layer Enrich in once the funnel top
is fixed.
Does Klarity calculate ROI, ROAS, or CAC?+
Not directly — we don't ingest your ad spend data. What we do
is give you credible, multi-touch
conversion attribution: which campaigns, channels, and
touchpoints drove each lead and each sale. You join that with
your spend data in your BI tool to compute ROI, ROAS, or CAC
the way your finance team wants them calculated. This is
intentional — it means our attribution numbers are never
disputed as "black-box vendor math."
Why don't you just pull spend data too?+
Spend data is messy, political, and usually already sitting in
a BI tool finance owns. When attribution platforms try to own
the full ROAS calculation, their numbers rarely match
finance's — and someone always loses the argument. By keeping
Klarity focused on conversion truth and giving you database
access, your marketing and finance teams use one source of
conversion data with their own spend logic.
What counts as a "custom model" on Enterprise?+
A custom attribution model is one we build specifically for
your funnel rather than picking from a standard playbook.
Examples we've built: a 6-month B2B journey where whitepaper
downloads and webinar attendance carry more weight than
clicks; a retail model that ties store walk-ins back to the
campaigns that drove them; a SaaS renewal model that
attributes re-engagement touchpoints to churn recovery. Our
data scientists design the methodology with your team over a
4–6 week engagement.
Who actually helps me when something breaks?+
A named human, not a ticket queue. Starter customers work with
an Onboarding Specialist through email and chat. Growth adds a
dedicated CSM and a private WhatsApp channel. Scale adds a
Solutions Architect in a shared Slack. Enterprise gets a
four-person pod — CSM, Solutions Architect, Data Scientist,
and Engineering lead — all named, all the same people from
kickoff through renewal.
How is "lead" defined?+
A lead is any unique identified contact (email, phone, or
device ID) processed through AdSync in a billing month.
Anonymous traffic and duplicate records do not count.
Can I switch from AdSync-only to the bundle later?+
Yes. You can add Klarity anytime — your AdSync contract gets
credited pro-rata against the bundle price.
Do you offer annual discounts?+
Yes — annual billing gets you 2 months free across all tiers,
plus locked-in pricing for the contract period.
Is there a free trial?+
We don't offer a free trial. Every pilot involves real work
from our human and tech teams — server costs, data pipelines,
and dedicated onboarding time. A 'free' pilot also attracts
the wrong intent: people kicking tires rather than teams ready
to solve real problems. Instead, we run a paid pilot with
clear success criteria agreed upfront. If we don't hit them,
you can discontinue.
