SanatDynamoRevenue Systems
证明,而非承诺

Real businesses. Real numbers.

每个案例研究都用一件事来衡量:收入有没有上升?

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Aggregate Revenue Impact
₹80L₹60L₹40L₹20LM0M1M2M3M4M5M6BEFORE+127%START
₹40Cr+REVENUE127%AVG LIFT65%CPA CUT90 daysPAYBACK
证明,而非承诺
3 stories

真实企业。真实数据。

每个案例研究都用一件事来衡量:收入有没有上升?

₹40Cr+
Revenue impacted
127%
Avg revenue lift
65%
Avg CPA reduction
90 days
Avg payback
D2C 护肤品班加罗尔 · 3 个月
Case · 01

未增加广告支出,月收入从 ₹30L → ₹68L

一个 8 人的护肤品牌,每月在 Meta 上花费 ₹1.8L,转化率为 0.6%。我们重建了店面,部署了 WhatsApp 恢复流程,并建立了 SEO 基础。

Sanat Dynamo 不只是为我们建了一个网站。他们重建了我们的销售方式。我们在 7 个月内达到了年度收入目标。

创始人,D2C 护肤品牌
月收入
₹30L → ₹68L
+127%
转化率
0.6% → 2.1%
+250%
购物车恢复
0% → 28%
有机流量
+340%
6 个月
获客成本
₹820 → ₹290
-65%
房地产开发商浦那 · 4 个月
Case · 02

90 天内合格潜在客户成本降低 60%

一家中型开发商在 housing.com 和 99acres 上花费数十万获取低意向潜在客户。我们建立了直接潜在客户网站、自动化 WhatsApp 培养流程和 NRI 买家的虚拟游览模块。

我们停止依赖门户网站。网站现在产生的合格潜在客户比 99acres 多,成本只有三分之一。

董事,浦那房地产开发商
每个潜在客户成本
₹1,800 → ₹720
-60%
现场访问转化
12% → 24%
+100%
入站合格潜在客户
+312%
3 个月
NRI 成交
0 → 6
新市场
制造业中小企业法里达巴德 · 5 个月
Case · 03

从 5 个电子表格到一个 ERP。手动输入减少 80%。

一家 ₹40Cr 的制造企业在 Excel、WhatsApp 和部落知识上运营。我们构建了一个定制 ERP,包括库存、订单、GST 发票和供应商门户。

我第一次早上 9 点看仪表板就确切知道业务状况。这改变了一切。

MD,汽车零部件制造商
手动数据输入
-80%
vs 基线
订单到交付周期
11 天 → 4 天
-64%
发票错误
12% → 0.3%
接近零
P&L 可见性
每月 → 每日
实时
Numbers, not narratives

The math behind the headline.

We measure ourselves the same way our clients do — by what shows up in the bank account.

+
Metric · 01
127%
Average revenue lift

Across 50+ engagements in the last 18 months.

Metric · 02
65%
Average CPA reduction

Most clients see ad spend halve in 90 days.

ROI
Metric · 03
₹40Cr+
Client revenue impacted

Tracked dollar-for-dollar against baseline.

D2CREHCEDSME
Metric · 04
90 days
Average payback

Most engagements pay for themselves in one quarter.

创始人的评价

我们以您的收入来衡量自己。

4.9 / 5 · 50+ engagements
他们没有推销服务。他们诊断了我们的业务,并提出了一个带数字的 90 天计划。就在那一刻我们知道了。
R
Rohan M.
创始人,D2C 健康品牌
三个月后,我们削减了 40% 的广告,收入增长了 2.3 倍。系统每周都在自我偿付。
P
Priya S.
CEO,在线培训机构
大多数代理商在发布后就消失了。Sanat Dynamo 把它当作第一天来对待。每个月都比上一个月更好。
D
Dr. Anil K.
董事,多城市牙科诊所
我们用一个合作伙伴取代了四个供应商。更快、更便宜,我们的团队终于不用到处救火了。
V
Vikram J.
MD,制造业中小企业

Step 1 — Baseline measurement. Before any engagement begins, we record the client's current metrics: monthly revenue, conversion rate, cost per acquisition, organic traffic, cart abandonment, support ticket volume, etc. These numbers come from the client's own tools (Shopify, Google Analytics, Meta Ads Manager, their CRM). We never estimate or back-calculate.

Step 2 — Success metrics in the scope document. Every project scope explicitly lists the metrics we're committing to move, with a baseline and a target for each. Example: 'Monthly revenue baseline ₹30L, target ₹45L by month 3'. This is agreed and signed before any code is written.

Step 3 — Monthly tracking. We pull fresh numbers monthly from the same tools. Month-over-month and cumulative deltas are reported transparently.

Step 4 — Case study numbers. When we publish a case study, the numbers come directly from the monthly tracking. We never round up, we never cherry-pick. If conversion went from 0.6% to 2.1%, we say 2.1%, not 'over 2x'.

Step 5 — Client review. Every case study is reviewed and approved by the client before publishing. They see the numbers we're quoting and the claims we're making, and sign off. If they want anonymization (because of competitive concerns), we anonymize — but the numbers stay accurate.

Topics in this chapter
case study methodologyverified results agencytransparent metricsbaseline measurement
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他们没有推销服务。他们诊断了我们的业务,并提出了一个带数字的 90 天计划。就在那一刻我们知道了。
R
Rohan M.
创始人,D2C 健康品牌