GO FROM 0-10K A MONTH

AS A SALES CLOSER

[THREAD]

The service:

You’re going to contact SaaS companies and offer to help them DOUBLE their closing rate on calls

These companies are typically tech-minded and tend to have <15% closing rates (from those I have spoken to)
Why SaaS companies?

They tend to have:

- Higher priced services/product
- Quicker delivery to customer
- Lower costs
- Recurring payments
- Ability to scale quicker

Absolutely make sense for them to pay someone 5K/month to double their closing rate
Now you need leads to contact:

I use:
Clientscraper(dot)com
Apollo(dot)io

Extract the direct email address, Social profiles and telephone numbers for: Owners, Founders, CEO’s of SaaS businesses

You’ll have plenty of leads to go at
Outreach:

Go omnichannel:

- Email
- LinkedIn
- Cold call

COVER EVERY CHANNEL
Here’s what you offer:

“I will double your closing rate or I will give you your money back”

No brainier for them & reduces the perceived risk of working with you

Either you:

- Double their closing rate - They win

- You don’t, they get their money back - They don't lose
Service delivery:

- Learn their service/product inside out

- Contact the warm leads the SaaS company has generated (already interested in buying)

- Focus on the problem the product/service solves

-Identify potential objections & address them before they’re raised

- CLOSE
Upsell:

The SaaS company needs warm leads for you to close right?

Tell them you know someone who can generate leads for (price) a month

(Plenty of people on here that can do this)

Charge client $250-$500 more than cost of this service

More money in your pocket
No case studies?

Here’s your offer if you have no past experience:

“I will double your closing rate on 10 calls for FREE in exchange for a testimonial”

- Deliver

- Use this case study to get your next client

- Rinse & repeat
Hitting 10K A Month

Charge $500 per call OR a % of every deal closed

Close 20 calls a month

You're now at $10,000 a month

More from All

कुंडली में 12 भाव होते हैं। कैसे ज्योतिष द्वारा रोग के आंकलन करते समय कुंडली के विभिन्न भावों से गणना करते हैं आज इस पर चर्चा करेंगे।
कुण्डली को कालपुरुष की संज्ञा देकर इसमें शरीर के अंगों को स्थापित कर उनसे रोग, रोगेश, रोग को बढ़ाने घटाने वाले ग्रह


रोग की स्थिति में उत्प्रेरक का कार्य करने वाले ग्रह, आयुर्वेदिक/ऐलोपैथी/होमियोपैथी में से कौन कारगर होगा इसका आँकलन, रक्त विकार, रक्त और आपरेशन की स्थिति, कौन सा आंतरिक या बाहरी अंग प्रभावित होगा इत्यादि गणना करने में कुंडली का प्रयोग किया जाता है।


मेडिकल ज्योतिष में आज के समय में Dr. K. S. Charak का नाम निर्विवाद रूप से प्रथम स्थान रखता है। उनकी लिखी कई पुस्तकें आज इस क्षेत्र में नए ज्योतिषों का मार्गदर्शन कर रही हैं।
प्रथम भाव -
इस भाव से हम व्यक्ति की रोगप्रतिरोधक क्षमता, सिर, मष्तिस्क का विचार करते हैं।


द्वितीय भाव-
दाहिना नेत्र, मुख, वाणी, नाक, गर्दन व गले के ऊपरी भाग का विचार होता है।
तृतीय भाव-
अस्थि, गला,कान, हाथ, कंधे व छाती के आंतरिक अंगों का शुरुआती भाग इत्यादि।

चतुर्थ भाव- छाती व इसके आंतरिक अंग, जातक की मानसिक स्थिति/प्रकृति, स्तन आदि की गणना की जाती है


पंचम भाव-
जातक की बुद्धि व उसकी तीव्रता,पीठ, पसलियां,पेट, हृदय की स्थिति आंकलन में प्रयोग होता है।

षष्ठ भाव-
रोग भाव कहा जाता है। कुंडली मे इसके तत्कालिक भाव स्वामी, कालपुरुष कुंडली के स्वामी, दृष्टि संबंध, रोगेश की स्थिति, रोगेश के नक्षत्र औऱ रोगेश व भाव की डिग्री इत्यादि।

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.