How Much Should You Spend On Google Ads?

What this episode covers

The No.1 Google Ads Coaching and Training Program. Watch Masterclass here: https://sfdigital.co/youtube How to decide customer ads? I'm not sure what you mean by this question. Are you talking about the customer budget? I think that's what you are trying to say. How do you decide? How much to spend per day? If that is the question you need to ask your client, well, the client doesn't know anything. You see, that's why they've come to you for help. That's why they've come okay you. said yes, that's why they'll come to you. So it's like you're going to a restaurant and you're the chef. Asking you which spices do you want me to put in? Well, I don't know. I just need something which tastes good put what you want. The only things which I will say is, Look, I don't eat too much chilis or something like that. Other than that, I'm just going to give him the direction. How I like my steak, you know, well done, medium rare, and so on, but I'm not going to ever say to him, Look, you should do this must salt, this much pepper, this much spice. Same with Google Ads. Don't you get directions, you ask the right questions to your clients, So the client understands that yes, this guy knows everything, so what I've just shown you about going through that spreadsheet, working out the customer lifetime value, and what's your maximum profitable CPC? How much can you afford to pay for to acquire a lead? How much you can afford to pay to acquire a client? and so on. You've got to go through that, and that is part of our onboarding process. Without that onboarding, the clients don't get on board because then we are flying blind. How much should we be bidding? How much should we be shooting to acquire a customer or a lead? So you must always do that. So, it depends on the cost per click. If the click cost is $50 and you want 10 clicks a day, you need to budget $500. if the click cost is $1 and you need 30 clicks a day, you need $30 a budget a day so for new accounts. What I tend to do is to get the data in as quickly as possible test it because we need to get the data in. It's not about wasting money. I'd rather spend 10 days getting the data in than wait three months and spend $10 a day. I might as well spend $50 a day see what's happening quickly and keep optimizing it. So that's how I would go about it.

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