How Clara doubled outbound meetings and sourced 35% of closed won deals with Amplemarket

35%

of closed deals sourced through Amplemarket

2x

monthly meetings booked, team-wide

1.7%

bounce rate, ~10x reduction from previous engagement tool

Clara is the leading payment platform for companies in Latin America, offering corporate cards, Bill Pay, cross-border payments, and a software platform used by thousands of the region's most successful companies.

Industry
Financial Services
Size
201–500 employees
Location
São Paulo, BR
Clara
In conversation with
Aline Louzada
Aline Louzada
Sales Operations Specialist
at
Clara
at
Clara
Published:
Updated:

Background

Watch the 4-minute video recap below, or read the full story to see how Clara, Latin America's leading corporate payments platform, rebuilt its outbound engine on Amplemarket across Brazil, Mexico, and Colombia.

Operating across Brazil, Mexico, and Colombia, Clara reached a $1B valuation in 2021 after its Series B round. Backed by Coatue, DST Global, General Catalyst, Goldman Sachs, and others, it reached unicorn status in record time.

Aline Louzada owns sales productivity across Clara's three-country acquisition motion, with nearly 50 sellers split between Target Acquisition (large-account outbound) and Massive Acquisition (inbound and SMB outbound). Like many growth-stage companies, Clara's pipeline runs across multiple channels (inbound campaigns, events, partnerships, and referrals), and outbound was the lever Aline needed to dial up.

Her responsibility covers lead volume, conversion to clients, and the revenue attributable to those prospecting efforts. With a CEO pushing the company to embed AI across every workflow, Clara needed a prospecting platform that could keep up with both its scale and its ambition.

Why Clara chose Amplemarket

Challenge Solution Result
Outbound volume capped by fragmented tools and low adoption of a competing engagement platform Amplemarket rolled out to ~50 sellers as the single center of prospecting Team-wide monthly meeting volume doubled
Poor engagement metrics, with open rate stuck below 20% Multichannel sequences, AI snippets, Duo Copilot, native HubSpot integration Global open rate climbed to 40%, reply rates ~3x'd vs. the previous engagement tool (last 30 days)
The previous engagement platform's deliverability was broken: spam rates above 15% Native domain warm-up, automatic bounce-and-spam exclusion workflows, and deliverability monitoring 1.7% bounce, ~10x reduction / 0.6% spam, ~25x reduction (last 30 days)
Previous engagement + conversation intelligence stack was bleeding selling time to tool-switching Consolidated into one AI-native platform ~1,000 selling hours saved/month; 2 tools into 1 at the same total budget
Manual list-building, qualification, and reply triage eating hours per rep Lead Searcher, exclusion workflows, Unibox, and Duo Drafts ~1 hour/day saved per rep
Replies scattered across 6 different sending domains per AE Unibox centralizes every reply across every domain 6 inboxes consolidated into one view; faster reply triage and meeting handoff
Manual weekly reporting in spreadsheets Amplemarket MCP + Claude generates reports and sequence analysis on demand 1-2 hours/week saved on reporting
Slow rep onboarding across a multi-tool stack All-in-one platform; domains, sequences, and warm-up set up before day one New reps booking meetings by their second week

The challenge

Before Amplemarket, Clara's prospecting motion was stuck. The team was running a competing sales engagement platform alongside a separate conversation intelligence tool, with only a handful of reps active and engagement metrics that were quietly eroding the team's confidence in outbound.

"We used another prospection tool that wasn't very well utilized by the entire team. Only a few people had access to it, and the usage was very, very low. We understood that we needed to change to a more AI-powered tool to make sure we could bring volume into our prospection."

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The pain showed up in four ways:

1. Low adoption and low volume.

The previous tool wasn't built for an AI-first sales org. Without broad seat coverage and intuitive workflows, only a few reps used it, and outbound volume stayed flat.

2. Open rate stuck below 20%.

Overall sequence performance was poor. Aline knew the team needed a tool that could combine volume with quality without forcing reps to spend hours building lists and qualifying leads.

3. The previous engagement tool’s deliverability was damaging the brand.

Spam rates climbed above 15%. Emails weren't landing in inboxes, domains were getting flagged, and leadership started to doubt whether outbound could be a reliable channel at all.

Worse, the team had started to accept it as normal:

"We had bad bounce and spam rates before, and we were like, 'Okay, I think that's it. We cannot change anything. I think that's the way it is.'"

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4. Fragmentation across tools and countries.

Running outbound across three countries (Brazil, Mexico, Colombia) and two languages (Portuguese, Spanish), on that fragmented engagement and intelligence stack meant the team was using a lot of tools without fully leveraging any of them.

Replies were scattered, reporting was manual, and the onboarding of new reps was slow.

The solution

Clara evaluated Amplemarket because their CEO needed an AI-native platform that could centralize prospecting, fix deliverability, and give every seller the same powerful workflow.

With strong CEO sponsorship behind the rollout and hands-on partnership from Amplemarket's CSM team, Clara scaled adoption from a handful of reps on the old engagement tool to nearly 50 active sellers on Amplemarket within months. The CSM motion included personalized onboarding in Portuguese and Spanish, weekly admin syncs, and bi-weekly user office hours.

Today, Amplemarket is the center of prospecting at Clara.

These five capabilities matter most:

1. One centralized Unibox

Clara's account executives each run 6 different sending domains (not aliases, actual different domains) to keep their outbound resilient. Before Amplemarket, that meant constantly switching between Gmail accounts to read replies.

With Amplemarket's Unibox, every reply across all domains now lands in one place, automatically tagged with labels like "interested," "meeting booked," and "out of office."

"One thing that it's impossible for us to live without right now is the Unibox. We have everything centralized there. We have multiple domains, and to be able to get all the replies from the six domains, we need to use Unibox."

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Layered on top, Amplemarket's Duo Copilot drafts replies inside Unibox so reps don't have to write from scratch. The team's verdict: easy enough that they read the draft and hit send.

Together, Unibox and Duo save roughly one hour per rep per day that used to go into list-building, qualification, and reply triage.

2. Multichannel sequences

In the old setup, sequences were email-only. With Amplemarket, every Clara sequence now includes a social step.

"Every single sequence that we create needs to have a Social step, no matter what. We don't have an email-only sequence because the multichannel actually creates a more personalized approach and increases our reply rates."

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The CEO secret weapon

Clara's CEO records AI voice messages for high-value leads inside Amplemarket. Prospects don't expect to hear from the CEO directly, and that surprise factor is converting where standard outreach doesn't. It's the kind of personalization most companies couldn't pull off at scale before AI.

3. AI snippets for personalization at scale

Running outbound in Portuguese and Spanish used to mean building separate sequences for each language. Now Aline writes one prompt in English and lets the AI snippet adapt the output per market.

"I have the same prompt. I just change the last sentence to ask the AI to write in Portuguese or Spanish, according to the country. And for me, it works very, very well."

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The same workflow powered one of Clara's standout campaigns: a closed-lost reactivation play.
The team pulled lost opportunities from HubSpot, built sequences with AI snippets referencing each prior conversation, and started seeing replies along the lines of: "yeah, actually we spoke last year, let's come back."

4. MCP-powered reporting and sequence analysis

Aline checks Amplemarket's analytics first thing every day: volume, open rate, reply rate, and meetings booked. But the real unlock has been the Amplemarket MCP, a connector that lets Claude pull data directly from Amplemarket and produce analysis on demand.

What used to take a spreadsheet export, manual analysis, and a written summary now happens with a single prompt, with the finished report sent straight to leadership via Slack.

"Now with Claude and the MCP, I create reports for leadership. I just ask Claude, 'Hey, give me last week's Amplemarket report compared to two weeks ago,' it generates it, and I send it through Slack. It saves a lot of time and makes my life very easy."

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She also uses the MCP for sequence analysis, asking Claude to surface the best and worst sequences each month so she can extract the patterns that work, share them with the team, and adapt the following month's outbound. The reporting workflow alone saves her 1-2 hours per week.

5. Deliverability infrastructure that actually works

None of the gains above would have been possible without first fixing what was broken underneath. Spam rates fell from above 15% to 0.6%, a ~25x reduction, and bounce rates were reduced roughly 10x to 1.7% (last 30 days).

Aline now runs a team-wide workflow inside Amplemarket that automatically protects sender reputation:

"Every time an email bounces or hits the spam folder, we automatically send the lead to the exclusion list, so we don't reach out to that lead again."

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Combined with native domain warm-up and ongoing deliverability monitoring through the Amplemarket MCP (which flags mailboxes that need volume adjustments), what used to be a constant fire drill is now a managed background process.

The shift gave Clara's leadership renewed trust in the numbers.

"It brings more confidence to the outbound efforts because we know that our domains are secure and our emails are actually being delivered."

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Amplemarket vs. old engagement + intelligence stack

Capability Previous engagement + intel stack Amplemarket
Bounce/spam rate >15% 1.7% bounce, ~10x reduction / 0.6% spam, ~25x reduction (last 30 days)
Open rate <20% 40% globally
Reply rate ~3.4% 10%, 3x lift
Multichannel outreach Email-heavy, no native social automation, no AI voice Required social step on every sequence, plus AI voice
AI personalization at scale Limited AI snippets handle per-lead, multilingual personalization
HubSpot integration Poor Native, one-click sync
Unified inbox across multiple domains Not supported Unibox handles 6 domains per AE
Reporting Manual spreadsheet exports MCP + Claude generates leadership reports on demand
Team adoption Limited seats, low team-wide usage Easy team-wide adoption with hands-on CSM support
Productivity per dollar Two tools, fragmented workflows, and lost data Same investment, ~12,500 selling hours added back/year

35%

Closed deals sourced with Amplemarket

2x

Monthly meetings booked

40% 

Global open rate

1.7% 

Bounce rate

0.6%

Spam rate

1-2 hours/week

saved on reporting

No items found.

The results

Clara's outbound transformation shows up across three dimensions sales leaders care about most: pipeline impact, engagement quality, and deliverability, all without spending more.

Pipeline impact: outbound is now sourcing roughly a third of all closed deals

Before Amplemarket, outbound was a marginal contributor to Clara's growth: on the previous engagement tool, the channel sourced less than 5% of closed deals.

Today, more than one-third of Clara's closed deals come from Amplemarket, with the rest coming through inbound channels, events, partnerships, and referrals. That's a more than 6x lift, turning outbound into a major growth lever alongside Clara's existing channels.

Globally, Amplemarket now sources 32% of Clara's closed deals; in Colombia, that share hit 35% in February. With the team targeting 40%, outbound has gone from a marginal channel to one of Clara's top growth engines across Latin America.

"Globally, we're around 32%. In Brazil, it's climbing month over month. And in Colombia in February, around 35% of all the deals closed in the country came from Amplemarket prospecting. That's very, very meaningful for us."

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Underneath those numbers, team-wide monthly meeting volume doubled, and that volume lift is what gave Clara the confidence to scale its Mexico SDR team from a single rep into a full team:

"We have probably doubled the number of monthly meetings we used to have. Thanks to Amplemarket, we were able to grow the team. We had only one SDR in Mexico booking 20 to 30 meetings a month, and her success gave us the confidence to scale that team out."

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At the individual level, Clara's top SDR has gone from 20 meetings per month before Amplemarket to roughly 35 today, a 75% lift in her individual output. And new reps onboarded onto Amplemarket “usually start booking meetings in their second week.”

Engagement quality

Open rate moved from below 20% to 40% globally, with the team targeting 50%. Better engagement at the top of the funnel is what fuels everything underneath it.

Deliverability

Spam rates fell from above 15% to 0.6%, a ~25x reduction. Bounce rate sits at 1.7%, a ~10x reduction from the old engagement tool era. None of the engagement or meeting gains would have been possible without this fix.

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Same investment, more output

Clara consolidated from their old sales stack into Amplemarket at the same total spend, but the "same line item" understates the real return. The gains show up everywhere that isn't the invoice.

Selling time recovered

Roughly one hour per day per rep across nearly 50 sellers adds up to about 12,500 selling hours per year, or roughly six full-time sellers' worth of capacity, previously lost to stack-wrangling.

Ops time recovered

One to two hours per week back to Aline on reporting alone, plus the ambient cost of context-switching between fragmented tools.

Ramp time recovered

New reps now book meetings in week two instead of working through a multi-tool ramp. For a team that's growing, this compounds quickly.

Sender reputation recovered

No more burned domains, no more eroded sender reputation, no more leadership second-guessing outbound.

Ownership of the numbers

One source of truth instead of fragmented tools, where data got lost.

Partnership, not just vendor

Clara has direct access to Amplemarket’s product and engineering teams, helping shape features based on their feedback.

Same line item on the budget, dramatically more output per dollar, and a meaningful chunk of every rep's week handed back to actually selling.

Conclusion

Within months of rolling out Amplemarket, Clara went from a fragmented, low-adoption prospecting setup with broken deliverability to a unified, AI-powered outbound engine running across three countries and nearly 50 sellers.

The SDR team doubled its meeting volume (with one SDR climbing from 20 to 35 meetings per month), open rates rose from below 20% to 40%, spam and bounce rates were reduced by ~25x and ~10x, respectively, and roughly a third of Clara's closed deals are now sourced through Amplemarket, up from less than 5%.  All on the same tooling investment as before.

When asked what she'd tell another LatAm fintech ops leader still running a fragmented engagement and intelligence stack, Aline didn't hesitate:

“They're definitely losing time. [With previous Sales Stack], I felt like we had a lot of tools but weren’t fully using any of them. People wouldn’t really take ownership of their numbers because things would get lost. They also wouldn’t have Claude MCP, the analytics, or all the things Amplemarket gives us to check how we’re doing daily. So my advice: switch right away.”

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The next 12 months at Clara are about pushing quality on top of the volume win: more personalization, higher reply rates, and a continued march toward sourcing 40% of closed deals through Amplemarket.

If you're running outbound across fragmented tools and your deliverability is heading the wrong way, see how Amplemarket can consolidate your stack and rebuild your sender reputation.

Frequently asked questions

With Amplemarket, Clara grew outbound's contribution to closed deals from less than 5% to 32-35% across Latin America, a more than 6x lift on the same total tooling spend. The platform replaces fragmented sales engagement and conversation intelligence tools with one AI-native stack, delivering multichannel sequences, native HubSpot integration, AI personalization at scale, and a centralized inbox across multiple sending domains. For Clara, this turned outbound from an uncertain channel into a major growth lever alongside inbound, events, partnerships, and referrals.

Amplemarket combines native domain warm-up, automatic bounce-and-spam exclusion workflows, and continuous deliverability monitoring through the Amplemarket MCP. For Clara, this brought spam rates from above 15% down to 0.6% (a ~25x reduction) and bounce rates down to 1.7% in the last 30 days (a ~10x reduction). Sender reputation is restored and emails actually land in inboxes, giving leadership renewed trust that outbound is a reliable channel.

Yes. Clara runs outbound across Portuguese (Brazil) and Spanish (Mexico, Colombia) on Amplemarket. Instead of building separate sequences per language, the team writes one prompt in English and Amplemarket's AI snippets adapt the output per market. Amplemarket's CSM team also delivers personalized onboarding in Portuguese and Spanish, so adoption isn't blocked by language barriers. Under this approach, Clara's reply rates roughly tripled across LatAm (from ~3.4% average on the previous engagement tool to 10% in the last 30 days).

At Clara, new SDRs typically book their first meetings in week two. Because Amplemarket is the only prospecting platform reps need, their domains, sequences, and warm-up are configured before day one. There's no multi-tool ramp to slow them down, no logins across multiple systems, and onboarding focuses on selling instead of tool training. For growing teams, this compresses time-to-productivity and protects sender reputation from day one.